I saw an Instagram post about how Nintendo started as a playing-card company back in 1889. This made me think, “Wow, Nintendo must be one of the oldest companies in the world.”
I googled it and realized I could not have been more wrong.
Nintendo began making Japanese hanafuda playing cards in Kyoto in 1889.1 That is old by almost any normal standard, but not by the standard of this rabbit hole. There are hotels that welcomed guests before the first millennium ended, breweries that predate the countries they now operate in, and companies that had already been trading for centuries by the time Nintendo sold its first card.
Of course, I started with Wikipedia’s List of oldest companies.2
Before going further, there is one boring but important caveat. Wikipedia’s list is not a census of every old company that has ever existed. It reflects what has been documented, sourced and added by editors. “Survival” is also complicated. Sometimes the same family remains in control. Sometimes the business survives under a new legal entity. Sometimes only the brand or craft continues after an acquisition. A 1,000-year-old inn and a 1,000-year-old public institution are not the same kind of thing.
Still, once the list is cleaned and organized, the patterns are hard to ignore.
At a glance
Opening visual
Nintendo is old. These companies make it look young.
Kongō Gumi, Japan, 578. About 1,448 years to 2026. Historic operating tradition; current corporate entity established in 2006.
View data
| Company or marker | Country | Year | Approximate span to 2026 | Continuity note |
|---|---|---|---|---|
| Kongō Gumi | Japan | 578 | 1448 years | Historic operating tradition; current corporate entity established in 2006. |
| Stora Enso | Sweden | 1288 | 738 years | Predecessor tradition used for the founding date. |
| Banca Monte dei Paschi di Siena | Italy | 1472 | 554 years | Banking tradition founded in Siena. |
| Barclays | United Kingdom | 1690 | 336 years | Banking business founded in London. |
| Nintendo | Japan | 1889 | 137 years | Began manufacturing and selling hanafuda cards in Kyoto. |
| Today | Not applicable | 2026 | Not applicable | Article publication year. |
Nintendo was founded in 1889. Kongō Gumi's operating tradition dates to 578.
Company histories; Wikipedia contextual links; author’s age calculations to 2026. Founding dates may describe predecessor traditions rather than unchanged legal entities.
01Japan dominates the list
The first thing I noticed was the absolute dominance of Japan. Of the 1,023 companies in the cleaned list, covering founding years from 578 to 1699, 531, or 51.9%, are Japanese.
That includes the oldest operating business represented in the dataset: Kongō Gumi, a construction company whose traditional foundation date is 578 AD. That was nearly 1,450 years ago.3
There is an important continuity caveat. The historic family firm was liquidated, and its work continued under Takamatsu Construction; Kongō Gumi's current corporate entity dates from 2006. So “founded in 578” describes the continuity of the name, craft and operating tradition, not one unchanged legal corporation.
Let that number settle for a moment. Kongō Gumi was already centuries old before the Norman conquest of England. It specialized in building and restoring Buddhist temples, a narrow craft tied to institutions that also think in centuries.
Exhibit 1
Japan accounts for more than half of represented companies
Japan, 531 companies, 51.9%, rank 1.
View data
| Group | Companies | Share |
|---|---|---|
| Japan | 531 | 51.9% |
| Germany | 188 | 18.4% |
| Austria | 47 | 4.6% |
| United Kingdom | 44 | 4.3% |
| Switzerland | 39 | 3.8% |
| Italy | 34 | 3.3% |
| France | 30 | 2.9% |
| Netherlands | 25 | 2.4% |
| Other 24 countries | 85 | 8.3% |
| Total | 1023 | 100.0% |
Japan and Germany together account for 70.3% of companies represented in the dataset.
Source: Wikipedia, List of oldest companies; author’s cleaned dataset, retrieved 11 August 2026; n=1,023. Figures describe the source list, not national survival rates. Marks are generated from counts; displayed shares may total 99.9% because of rounding.
Another thing that jumped out was how heavily the list leans toward food and drink. Alcohol and other beverages account for 25.1%, while food and restaurants account for another 21.9%. Together, that is almost half of the dataset.
This makes Kongō Gumi’s longevity even more impressive. It is a construction business, and construction and property companies make up only 23 rows, or 2.2% of the entire list.
In hindsight, the dominance of food and drink makes sense. Technologies change. Governments change. Borders change. But people continue to eat, drink, gather, celebrate and travel. The product may evolve, but the underlying need does not disappear.
Exhibit 2
Food, beverages, crafts and hospitality dominate the survivors
Alcohol & Other Beverages, 257 companies, 25.1%, rank 1. Examples: breweries, wineries and distilleries.
View data
| Group | Companies | Share |
|---|---|---|
| Alcohol & Other Beverages | 257 | 25.1% |
| Food & Restaurants | 224 | 21.9% |
| Crafts & Manufacturing | 215 | 21.0% |
| Hospitality | 128 | 12.5% |
| Health & Pharmacy | 58 | 5.7% |
| Other seven categories | 141 | 13.8% |
| Total | 1023 | 100.0% |
Four recurring-need sectors account for four in five represented companies.
Source: Wikipedia, List of oldest companies; author’s cleaned dataset, retrieved 11 August 2026; n=1,023.
Key takeawayThe dataset is not dominated by glamorous or futuristic industries. It is dominated by businesses attached to recurring human needs and by products whose value often increases when customers believe they carry history.
02The picture changes depending on the century
If we divide the data into five historical periods, with a pre-1300 group followed by four century blocks, we see something more interesting than simple Japanese dominance.
Japan leads before 1300, with 23 of 66 companies (34.8%). It then falls behind Germany in the 1300s and behind Germany and Austria in the 1400s, dropping to just 11.0% of represented companies in the fifteenth century. Germany moves the other way, reaching 36.6% in the 1400s.
Then the picture changes completely. Japan rises to 51.8% in the 1500s and 63.8% in the 1600s.
So the story is not “Japan was always dominant.” Japan's share of the represented companies is high very early, falls behind Germany in the 1300s and Germany and Austria in the 1400s, and then becomes overwhelmingly dominant among the rows from 1500 onward.
Exhibit 3
Japan's represented share fell sharply, then returned much more strongly
Japan: 34.8% pre-1300; trough of 11.0% in the 1400s; 63.8% in the 1600s.
Japan, Before 1300, 23 companies, 34.8% of the period.
View data
| Country/group | Before 1300 | 1300–1399 | 1400–1499 | 1500–1599 | 1600–1699 |
|---|---|---|---|---|---|
| Japan | 23 | 12 | 9 | 117 | 370 |
| Germany | 12 | 22 | 30 | 43 | 81 |
| Austria | 4 | 6 | 10 | 11 | 16 |
| United Kingdom | 8 | 3 | 1 | 10 | 22 |
| Switzerland | 2 | 11 | 9 | 5 | 12 |
| Italy | 4 | 6 | 9 | 6 | 9 |
| France | 4 | 2 | 5 | 5 | 14 |
| Netherlands | 0 | 2 | 2 | 5 | 16 |
| Other countries | 9 | 5 | 7 | 24 | 40 |
| Period total | 66 | 69 | 82 | 226 | 580 |
Germany leads the fourteenth and fifteenth centuries; Japan becomes the majority from the sixteenth century onward.
Before 1300 spans 578–1299; later bins each span 100 years and contain different totals. These are compositional comparisons, not company-formation rates.
Source: Wikipedia, List of oldest companies; author’s cleaned dataset, retrieved 11 August 2026; n=1,023.
There are a few other things worth noticing:
- Switzerland briefly punches far above its size. It contributes 15.9% of the 1300s and 11.0% of the 1400s, before falling to about 2% in the 1600s.
- The number of rows explodes after 1500. There are 82 companies from the 1400s, 226 from the 1500s and 580 from the 1600s.
- That explosion should not be mistaken for a historical startup boom. Later businesses had fewer centuries in which to fail, and surviving records become more plentiful closer to the present.
The category mix changes too, although less dramatically than the country mix.
Alcohol remains remarkably persistent, accounting for between roughly one-quarter and three-tenths of the represented companies in most periods. Hospitality is much more prominent among the earliest survivors: it accounts for 25.8% before 1300, but only 10.2% in the 1600s. Crafts and manufacturing, meanwhile, become much more visible after 1500.
Exhibit 4
The earliest survivor groups are unusually hospitality-heavy
Place-based hospitality is unusually prominent among the earliest rows.
Alcohol & Other Beverages, Before 1300, 19 companies, 28.8% of the period.
View data
| Category/group | Before 1300 | 1300–1399 | 1400–1499 | 1500–1599 | 1600–1699 |
|---|---|---|---|---|---|
| Alcohol & Other Beverages | 19 | 20 | 24 | 49 | 145 |
| Food & Restaurants | 9 | 17 | 21 | 53 | 124 |
| Crafts & Manufacturing | 10 | 7 | 10 | 56 | 132 |
| Hospitality | 17 | 17 | 14 | 21 | 59 |
| Health & Pharmacy | 1 | 5 | 1 | 15 | 36 |
| Other categories | 10 | 3 | 12 | 32 | 84 |
| Period total | 66 | 69 | 82 | 226 | 580 |
Geography concentrates sharply after 1500, but the business mix remains comparatively diverse.
Before 1300 spans 578–1299; later bins each span 100 years. The source draft supplies six grouped categories, so no unsupported 12-category heatmap is shown.
Source: Wikipedia, List of oldest companies; author’s cleaned dataset, retrieved 11 August 2026; n=1,023. Date ranges are assigned to their earliest stated year.
03The Big Guys: the top 30
Being old does not necessarily mean being big. Many of these companies are local hotels, restaurants, breweries, pharmacies or craft businesses. But a few have grown into global corporations.
To compare them, I calculated what I call the Central Value Proxy.
The calculation follows a simple evidence hierarchy:
- For listed companies, use observed equity market capitalization.
- For recently acquired or privatized companies, use the disclosed transaction value.
- For private companies with usable accounts, use disclosed book capital, revenue or EBITDA as the anchor.
- Where no market price exists, apply a transparent valuation multiple and show a range rather than pretending the estimate is exact.
For a modeled private company, the central value uses the disclosed book value or a stated central multiple; it is not automatically the midpoint of the range. The low and high cases remain attached to the row, along with the reason for choosing the anchor and multiple. That is where subjective judgment enters the ranking.
Foreign-currency values were converted into US dollars using European Central Bank reference rates from 14 August 2026.4 The numbered rank uses the central estimate, but overlapping ranges should be read as tiers, not precise positions.
Market capitalization, transaction price, book capital and enterprise value are not the same economic measure. This ranking is a best-effort comparison of scale, not a formal appraisal or an investment recommendation.At the top is Barclays, the British financial group founded in 1690, with a market capitalization of approximately $94.73 billion in the snapshot.5 It is followed by Merck KGaA, Saint-Gobain and Banca Monte dei Paschi di Siena.
Exhibit 5
The 30 highest-ranked companies in the best-effort value-proxy screen
High: Directly observed listed value or completed transaction with a strong entity match.
Medium-high: Observed market value with successor/entity or conversion uncertainty.
Medium: Solid financial anchor but not a direct standalone market value.
Medium-low: Disclosed revenue/EBITDA combined with a subjective multiple.
Low-medium: Limited public data or a revenue-only estimate with greater model risk.
| Evidence basis / justification | Details | ||||||
|---|---|---|---|---|---|---|---|
| 1 | Barclays | United Kingdom | 1690 | $94.73bn | Listed market capitalization | High | |
| 2 | Merck KGaA | Germany | 1668 | $68.80bn | Listed market capitalization | High | |
| 3 | Saint-Gobain | France | 1665 | $46.86bn | Listed market capitalization | High | |
| 4 | Banca Monte dei Paschi di Siena | Italy | 1472 | $42.37bn | Listed market capitalization | High | |
| 5 | Kikkoman | Japan | 1630 | $10.43bn | Listed-successor market capitalization | Medium-high | |
| 6 | Stora Enso | Sweden | 1288 | $8.82bn | Listed market capitalization | Medium-high | |
| 7 | Takenaka | Japan | 1610 | $8.01bn | ◇ Estimated. Book net assets; estimated range | Medium | |
| 8 | Mitsukoshi | Japan | 1673 | $7.72bn | Holding-company market capitalization | Medium | |
| 9 | Vopak | Netherlands | 1616 | $6.33bn | Listed market capitalization | High | |
| 10 | Tong Ren Tang | China | 1669 | $4.98bn | Listed-successor market capitalization | Medium | |
| 11 | Mitsubishi Tanabe Pharma | Japan | 1678 | $3.21bn | Disclosed cash transaction | High | |
| 12 | Beretta | Italy | 1526 | $2.93bn | ◇ Estimated. EBITDA multiple; estimated range | Medium | |
| 13 | Husqvarna AB | Sweden | 1689 | $2.31bn | Listed market capitalization | High | |
| 14 | Gebrüder Weiss | Austria | 1473* | $2.21bn | ◇ Estimated. Revenue multiple; estimated range | Medium-low | |
| 15 | Antinori | Italy | 1385 | $1.98bn | ◇ Estimated. EBITDA multiple; estimated range | Medium-low | |
| 16 | Paulaner | Germany | 1634 | $1.47bn | ◇ Estimated. EBITDA multiple; estimated range | Medium-low | |
| 17 | MaYinglong | China | 1582 | $1.44bn | Listed market capitalization | Medium-high | |
| 18 | Fiskars | Finland | 1649 | $1.28bn | Listed market capitalization | High | |
| 19 | Jiuzhitang | China | 1650 | $1.12bn | Listed-successor market capitalization | Medium | |
| 20 | CTT Correios de Portugal | Portugal | 1520 | $0.90bn | Listed market capitalization | High | |
| 21 | Yuasa (formerly Yuasa Trading) | Japan | 1666 | $0.80bn | Listed market capitalization | High | |
| 22 | C. Hoare & Co. | United Kingdom | 1672 | $0.76bn | ◇ Estimated. Shareholders’ funds; estimated range | Medium | |
| 23 | Frescobaldi | Italy | 1308 | $0.74bn | ◇ Estimated. EBITDA multiple; estimated range | Medium-low | |
| 24 | Yamasa | Japan | 1645 | $0.45bn | ◇ Estimated. Revenue multiple; estimated range | Medium-low | |
| 25 | Berenberg | Germany | 1590 | $0.43bn | ◇ Estimated. Own funds; estimated range | Medium | |
| 26 | Orell Füssli | Switzerland | 1519 | $0.36bn | Listed market capitalization | High | |
| 27 | Metzler Bank | Germany | 1674 | $0.36bn | ◇ Estimated. Regulatory own funds; estimated range | Medium | |
| 28 | Yomeishu | Japan | 1602 | $0.35bn | Tender-offer implied equity value | High | |
| 29 | De Dietrich | France | 1684 | $0.33bn | ◇ Estimated. Revenue multiple; estimated range | Low-medium | |
| 30 | Santa Maria Novella | Italy | 1612† | $0.29bn | EBITDA and transaction cross-check | Medium |
#4Banca Monte dei Paschi di Siena$42.37bnItaly · founded 1472 · High
Listed market capitalization
#5Kikkoman$10.43bnJapan · founded 1630 · Medium-high
Listed-successor market capitalization
#7Takenaka$8.01bnJapan · founded 1610 · Medium
◇ EstimatedBook net assets; estimated range
#8Mitsukoshi$7.72bnJapan · founded 1673 · Medium
Holding-company market capitalization
#10Tong Ren Tang$4.98bnChina · founded 1669 · Medium
Listed-successor market capitalization
#11Mitsubishi Tanabe Pharma$3.21bnJapan · founded 1678 · High
Disclosed cash transaction
#12Beretta$2.93bnItaly · founded 1526 · Medium
◇ EstimatedEBITDA multiple; estimated range
#14Gebrüder Weiss$2.21bnAustria · founded 1473* · Medium-low
◇ EstimatedRevenue multiple; estimated range
#15Antinori$1.98bnItaly · founded 1385 · Medium-low
◇ EstimatedEBITDA multiple; estimated range
#16Paulaner$1.47bnGermany · founded 1634 · Medium-low
◇ EstimatedEBITDA multiple; estimated range
#19Jiuzhitang$1.12bnChina · founded 1650 · Medium
Listed-successor market capitalization
#20CTT Correios de Portugal$0.90bnPortugal · founded 1520 · High
Listed market capitalization
#21Yuasa (formerly Yuasa Trading)$0.80bnJapan · founded 1666 · High
Listed market capitalization
#22C. Hoare & Co.$0.76bnUnited Kingdom · founded 1672 · Medium
◇ EstimatedShareholders’ funds; estimated range
#23Frescobaldi$0.74bnItaly · founded 1308 · Medium-low
◇ EstimatedEBITDA multiple; estimated range
#24Yamasa$0.45bnJapan · founded 1645 · Medium-low
◇ EstimatedRevenue multiple; estimated range
#25Berenberg$0.43bnGermany · founded 1590 · Medium
◇ EstimatedOwn funds; estimated range
#27Metzler Bank$0.36bnGermany · founded 1674 · Medium
◇ EstimatedRegulatory own funds; estimated range
#29De Dietrich$0.33bnFrance · founded 1684 · Low-medium
◇ EstimatedRevenue multiple; estimated range
#30Santa Maria Novella$0.29bnItaly · founded 1612† · Medium
EBITDA and transaction cross-check
The original value rank remains attached to every company when another column is sorted.
Valuation warning: the measures are not economically identical. Ranking snapshot prepared 17 August 2026; public values were observed around that date, while private estimates use the latest cited disclosures. Private estimates are directional.
Market data, company filings and transaction announcements. Full source register follows the article.
* The source dataset uses 1473 for Gebrüder Weiss. The company's current history documents the Lindau courier service from 1487 and the Gebrüder Weiss name from 1823, so “fifteenth-century roots” is the safest wording outside the table.6
† Santa Maria Novella's 1612 date marks the opening of the public pharmacy; its monastic medicinal tradition dates to 1221.7
A surprisingly even spread of sizes
If we divide the valued top 30 into four size tiers, they are surprisingly evenly distributed. Five have central value proxies above $10 billion, while the other 25 are split almost evenly across large, mid-market and smaller corporate tiers.
Exhibit 6
No single financial-size tier dominates the top 30
Very Large: 5 companies, 16.7% of the top 30, central value proxy More than $10bn.
View data
| Tier | Central value-proxy range | Companies | Share |
|---|---|---|---|
| Very Large | More than $10bn | 5 | 16.7% |
| Large | $2bn–$10bn | 9 | 30.0% |
| Mid-Market | $0.5bn–$2bn | 9 | 30.0% |
| Smaller Corporates | $0.1bn–$0.5bn | 7 | 23.3% |
| Total | Not applicable | 30 | 100.0% |
The ordered ranges matter more than the small differences between tier counts.
Some uncertainty ranges cross tier boundaries.
Author’s top-30 value-proxy ranking, prepared 17 August 2026. Public values were observed around that date; private proxies use the latest cited disclosures.
The top 30 are not representative of the whole list. They are the 30 highest-ranked companies in a best-effort screen of entities for which a defensible value proxy could be built. A broader Teikoku Databank study of 46,708 Japanese firms aged at least 100 years provides a useful benchmark for the size distribution of old Japanese firms: among firms with known revenue, 79.0% generated less than JPY 1 billion a year. Only 1.0% generated JPY 100 billion or more.8
Yet there is an interesting counterpoint: long-established firms represented 19.4% of all Japanese companies in that JPY 100 billion-plus revenue class. The result looks less like a single winning size and more like a longevity barbell: a huge base of small firms and a thin but meaningful tail of very large ones.
Exhibit 6A
Most century-old Japanese firms are small by revenue, but old firms also appear at the top
Less than JPY 100m: 41.8% of long-established Japanese firms with known revenue.
View data
| Measure | Share |
|---|---|
| Less than JPY 100m | 41.8% |
| JPY 100m to less than JPY 1bn | 37.2% |
| JPY 1bn or more | 21.0% |
| Share of all JPY 100bn-plus Japanese companies that are long-established | 19.4% |
The 19.4% callout uses a different denominator from the revenue-distribution bar.
This is an external benchmark covering Japanese companies at least 100 years old, not only the pre-1700 dataset.
Teikoku Databank, nationwide analysis of long-established companies, 2025.
04Large-value firms have a different sector mix
We see a clear shift among the bigger players. Health and Pharmacy has the largest share of the top 30, with Finance and Insurance in second place. Food, alcohol and beverages together fall to 20.0% of the top 30, even though they account for 47.0% of the full dataset.
This is an important distinction. Most represented survivors are concentrated in focused businesses attached to food, drink, craft or place. Within the top-30 value-proxy subset, health and finance are much more prominent.
In other words, the composition suggests two possible models of extreme longevity. Focused and place-attached businesses may benefit from local loyalty, patient ownership and specialized knowledge. Larger firms may benefit from professional management, access to capital, diversification and institutional continuity. This is a hypothesis generated by the survivor data, not a measured difference in survival rates.
Exhibit 7
Scale changes the sector mix
Large-value survivors skew toward health and finance; the full list skews toward food, drink and hospitality.
Health & Pharmacy: 7 of the top 30, 23.3%; 58 of 1,023 overall, 5.7%; difference +17.6 percentage points.
View data
| Category | Top-30 companies | Top-30 share | All companies | Full-list share | Difference |
|---|---|---|---|---|---|
| Health & Pharmacy | 7 | 23.3% | 58 | 5.7% | +17.6 pts |
| Finance & Insurance | 5 | 16.7% | 27 | 2.6% | +14.1 pts |
| Other | 3 | 10.0% | 5 | 0.5% | +9.5 pts |
| Transport / Shipping | 2 | 6.7% | 10 | 1.0% | +5.7 pts |
| Retail & Trading | 2 | 6.7% | 33 | 3.2% | +3.5 pts |
| Construction & Property | 1 | 3.3% | 23 | 2.2% | +1.1 pts |
| Agriculture / Natural Resources | 1 | 3.3% | 25 | 2.4% | +0.9 pts |
| Publishing / Printing / Media | 0 | 0.0% | 18 | 1.8% | -1.8 pts |
| Crafts & Manufacturing | 3 | 10.0% | 215 | 21.0% | -11.0 pts |
| Alcohol & Other Beverages | 4 | 13.3% | 257 | 25.1% | -11.8 pts |
| Hospitality | 0 | 0.0% | 128 | 12.5% | -12.5 pts |
| Food & Restaurants | 2 | 6.7% | 224 | 21.9% | -15.2 pts |
Filled points show the top 30; hollow points show the full dataset.
Author’s cleaned dataset and top-30 value-proxy ranking; n=1,023 and n=30 respectively.
05Most survivors look like specialists, not giant corporations
The sector data tells us what these companies do. It does not tell us how they are managed. To generate hypotheses about that question, I divided the 1,023 companies into six operating-format and continuity proxies.
The word proxy matters. For most companies, the list does not provide current revenue, employee count, ownership or management structure. These are transparent clues based on the type of operation and the verified large-company screen, not measured management patterns or audited legal classifications.
Exhibit 8
Almost seven in ten represented firms are specialist producers or merchants
Specialist producer or merchant: size unresolved: 708 companies, 69.21%. A focused maker, merchant, brewery, confectioner, pharmacy or craft business not captured by the verified corporate groups below. Its actual size and ownership may be small, medium or large. Possible advantage: Deep product knowledge, reputation and repeat demand. Main vulnerability: Product obsolescence, narrow demand or succession.
View data
| Archetype | Definition | Companies | Share | What may help it last | Main vulnerability | Examples |
|---|---|---|---|---|---|---|
| Specialist producer or merchant: size unresolved | A focused maker, merchant, brewery, confectioner, pharmacy or craft business not captured by the verified corporate groups below. Its actual size and ownership may be small, medium or large. | 708 | 69.21% | Deep product knowledge, reputation and repeat demand | Product obsolescence, narrow demand or succession | Brewers, food makers, metalworkers, traditional pharmacies |
| Local-premises operator | A business whose customer experience is centered on a particular physical place, such as a hotel, inn, restaurant, pub, bathhouse, wine bar or wedding hall. This is an operating-format label, not a legal small-business category. | 210 | 20.53% | Place, community, repeat visitors and hard-to-copy atmosphere | Tourism shocks, property costs and dependence on one location | Hotels, inns, restaurants, pubs and bathhouses |
| Other unresolved | A company in construction, finance, transport, publishing or another category for which the screen could not confidently infer one of the named operating formats. | 65 | 6.35% | Varies by business | Varies; classification uncertainty is itself high | Contractors, publishers and transport businesses |
| Listed company in the top-30 screen | A listed company identified in the top-30 valuation screen. This label describes the rule used for this analysis, not every listed company that may exist in the full source list. | 16 | 1.56% | Capital access, professional management and diversification | Complexity, leverage and loss of strategic focus | Barclays, Merck KGaA and Saint-Gobain |
| Public institution, brand or acquired entity | A mint, public institution, acquired operation, subsidiary or heritage brand whose continuity differs from an independent family firm. | 13 | 1.27% | Institutional sponsorship or a stronger parent | Independence may disappear even when the operation survives | Royal Mint, Kongō Gumi and acquired heritage brands |
| Large private group | A non-listed business in the top 30 with a substantial financial anchor. | 11 | 1.08% | Scale, professional systems and patient private capital | Opaque valuation, concentration or generational transition | Takenaka and Beretta |
Nearly seven in ten represented companies are specialist producers or merchants, but their current size is unresolved.
Custom operating-format proxies; not observed ownership, employee-count or legal-size statistics. Categories are mutually exclusive.
Author’s operating-format and continuity-proxy screen of the cleaned dataset; n=1,023.
The biggest group is the specialist producer or merchant archetype, at 69.2%. Another 20.5% are local-premises operators. But this does not mean that 89.7% of the dataset is made up of small businesses. The specialist group is explicitly size-unresolved, and an old business can remain focused while becoming quite large.
What exactly does “local premises” mean?
It means the place is part of the product. An inn sells a night in a particular building. A pub sells a drink, but also a room, a neighbourhood and a social ritual. A bathhouse, restaurant or hotel depends on customers entering a specific physical setting.
It does not necessarily mean one location, few employees, low revenue or family ownership. A local-premises business can expand, franchise or become part of a larger group. The label simply says that its historic advantage is strongly tied to an address and the experience around it.
This operating format is especially visible in the earliest periods. Local-premises operators account for 34.8% of rows before 1300, 39.1% in the 1300s and 36.6% in the 1400s. Their share falls to 17.7% in the 1500s and 15.5% in the 1600s.
That gives us another possible explanation for extreme longevity. Among the earliest periods represented here, a defensible place, such as a hot spring, pilgrimage route, market square or trusted inn, could function like an asset, a distribution channel and a brand at the same time.
Exhibit 8A
Place-centered formats are more prominent in the earliest periods
Before 1300: 34.8%, 23 of 66. The proxy includes hotels, inns, restaurants, pubs, bathhouses, wine bars, wedding halls and combined restaurant/hotels.
View data
| Period | Share | Companies | Period total |
|---|---|---|---|
| Before 1300 | 34.8% | 23 | 66 |
| 1300–1399 | 39.1% | 27 | 69 |
| 1400–1499 | 36.6% | 30 | 82 |
| 1500–1599 | 17.7% | 40 | 226 |
| 1600–1699 | 15.5% | 90 | 580 |
Place-centered businesses are much more prominent among the earliest survivor groups.
The proxy includes hotels, inns, restaurants, pubs, bathhouses, wine bars, wedding halls and combined restaurant/hotels. It is broader than the Hospitality category.
Author’s local-premises proxy within the cleaned dataset; n=1,023. The screen uses named place-centered formats and does not measure legal company size.
Key takeawaySpecialist producers and merchants are the most common operating-format proxy among represented survivors. Listed and institutionally complex firms are more visible in the top-30 value subset, but this dataset does not show which model has a higher survival rate or what scale requires.
06Three instructive failure or closure cases
Going through all these successful stories made me wonder about the opposite: are there companies that survived for centuries and still failed recently?
I found a few, and they may be more useful than the success stories.
Kongō Gumi: the craft survived, but independence did not
Kongō Gumi traces its operating tradition to 578 and spent roughly 1,400 years specializing in temple construction. That sounds almost invincible. It was not.
Demand for traditional temple construction weakened. At the same time, debt and exposure connected to Japan’s real-estate bubble damaged the company. In 2006, Takamatsu Construction acquired the operating business. The Kongō Gumi name, employees and specialist work continued under a subsidiary, but the ancient independent family enterprise ended.3
The lesson: 1,400 years of expertise could not offset leverage and a shrinking core market. An acquisition can preserve the work while ending one form of continuity.
Whitechapel Bell Foundry: the market became too small
The Whitechapel Bell Foundry traced its history to around 1570. It cast famous bells, including Big Ben and the Liberty Bell. Then it closed in 2017.
A UK government planning inquiry reached a fairly simple conclusion: the market for large tower bells had been shrinking for years, demand was very small, and casting them at a central London site was no longer viable.9
The lesson: craftsmanship, fame and 450 years of history cannot cover fixed costs when the addressable market contracts below a viable scale.
R. Durtnell & Sons: 428 years did not remove balance-sheet risk
R. Durtnell & Sons traced its history to 1591. The historic operating contractor ceased trading on 4 July 2019 while involved in major restoration work. Contemporary industry coverage pointed to a persistently falling level of net assets.10
There is also a technical wrinkle: R. Durtnell & Sons Limited is still marked active at Companies House and has filed accounts since the cessation, while its related holding company has continued filing too.10 So this is best described as the end of the historic contracting operation and a major break in continuity, not the conclusive dissolution of every related legal entity. Even the phrase “the company closed” can become complicated when an operation, legal company, holding company and historic name are not the same thing.
The lesson: long project cycles may amplify cash-flow pressure. The direct warning here is simpler: centuries of experience did not prevent the balance sheet from deteriorating.
Exhibit 9
Age protects reputation, not economics
Kongō Gumi: 578 to 2006. What broke: Leverage and a shrinking core market. Outcome: Acquired; specialist operations continued. Expertise could not offset debt and declining demand.
View data
| Company | Founded | Failure/change year | What broke | Continuity outcome | Lesson |
|---|---|---|---|---|---|
| Kongō Gumi | 578 | 2006 | Leverage and a shrinking core market | Acquired; specialist operations continued | Expertise could not offset debt and declining demand. |
| Whitechapel Bell Foundry | 1570 | 2017 | A market below viable scale | Central London site closed | Fame and craft could not cover fixed costs. |
| R. Durtnell & Sons | 1591 | 2019 | Balance-sheet deterioration | Historic operating contractor ceased trading | Centuries of experience did not remove cash-flow risk. |
Age protects reputation, not economics.
Company history, government inquiry, Companies House and contemporary reporting; see the Kongō Gumi, Whitechapel and Durtnell footnotes.
07What makes firms last and what makes them fail?
After going through the data and the failure cases, I do not think there is one secret to lasting for centuries. There are several, and they reinforce each other.
1. Continuity is a deliberate objective
Many long-lived family firms are not optimizing only for this quarter or even this generation. They care about continuity, reputation, family identity and their role in the community. The EU–Japan Centre’s review repeatedly finds family orientation, long-term goals, craft tradition, merit-based succession and social engagement.11
That does not make them anti-profit. It means profit is treated as fuel for continuing the institution rather than the only reason it exists.
2. Succession is flexible, not purely hereditary
Japanese family businesses have historically used adult adoption, sons-in-law and other non-blood heirs to keep the business household intact while choosing capable managers.
A study in the Journal of Financial Economics found that non-blood-heir-run Japanese family firms outperformed blood-heir firms and roughly matched founder-run listed firms.12 This does not explain Japan’s entire pattern, but it shows how a family business can protect continuity without insisting that management talent must arrive through biology.
3. Tradition becomes a resource for innovation
The businesses that last do not preserve every process exactly as it was. They preserve a story, a capability or a promise, then reinterpret it.
Researchers call this “innovation through tradition”: old knowledge becomes raw material for new products, markets and methods.13 Heritage works when it is a platform for renewal. It becomes a liability when management treats it as an instruction never to change.
4. Renewal happens before the crisis
Research on Japanese long-established listed companies suggests that business development before a pivotal strategic change matters.14 Waiting until the historic core is already collapsing may be too late.
Simple diversification is not enough either. A company can add businesses and still fail if it has not built the skills, capital and management structure needed to make a real transition.
5. The product answers a recurring human need
Food, drink, accommodation, health, tools, finance and ritual goods appear again and again in the dataset. The method of delivery changes, but the underlying need survives.
Beverages, food, manufacturing and hospitality together make up 80.5% of the represented companies. That does not prove these sectors have the highest survival rates, but it is difficult to ignore how often the oldest businesses sell something humans keep needing.
6. Place and community create a moat
Terroir, spring water, pilgrimage routes, temples, local craft networks, protected recipes and civic institutions give many old businesses an identity that cannot simply be copied and moved.
Research on Japanese businesses surviving 300 years or more highlights customers and products, owners and employees, management credo, change and risk management, and the community-oriented idea of sanpo-yoshi, meaning good for the seller, the buyer and society.15
This is not a moat built from software or patents. It is a moat built from belonging.
7. Conservative finance and reusable assets help
Teikoku Databank finds that old Japanese companies can stabilize themselves through non-operating income and long-held property or financial assets.8 A historic business may own the building beneath it, rent unused land, or hold assets accumulated across generations.
That does not mean every old firm is conservative. Kongō Gumi is a warning against saying that. But it does mean some have a financial buffer that a young business living only from current cash flow does not.
Key takeawayThe companies that last are rarely frozen in time. They preserve the part customers trust while changing almost everything else.
08Why are so many represented companies Japanese?
There is no single answer. The safest explanation is layered.
First, the dataset itself is skewed
Wikipedia coverage, historical documentation and editor attention vary by country. Japan and Germany may be cataloged more systematically than large parts of Africa, Asia and Latin America. The list proves what is represented in the list, not a universal national survival rate.
Second, Japan genuinely has an unusually deep population of old firms
Teikoku Databank counted 46,708 Japanese companies at least 100 years old at December 2025. That included 1,836 at least 200 years old, 905 at least 300, 47 at least 500 and 11 at least 1,000.8
So the Wikipedia skew is real, but it is not the entire story.
Third, the business-household system supports succession
The Japanese ie tradition treats the household and business lineage as something that can continue beyond any one person. Adult adoption historically allowed families to bring in capable heirs rather than letting the absence of a suitable biological successor end the company.12
Fourth, community status reinforces customer loyalty
A recognized shinise is not merely old. It can embody local identity, trusted quality and the continuity of a town or craft. Customers are not buying only the object; they are buying participation in the story.16
Fifth, Japan’s sector mix is favorable
Sake, confectionery, inns, traditional medicines and craft products combine recurring demand with place-based reputation. In this dataset, all 87 sake companies are Japanese, as are 75 of the 76 confectionery-related businesses.2
Sixth, some regions retained commercial continuity
Teikoku Databank points to Kyoto’s relatively limited Second World War damage as one contributor to its high concentration of long-established firms.8 Physical continuity does not explain everything, but it matters when a business depends on a particular street, workshop or customer community.
Finally, Japan is not immune to failure
Ageing owners and absent successors now threaten otherwise viable businesses. A company can have customers, make money and still close because nobody is able or willing to take over. Teikoku Databank recorded 142 bankruptcies of century-old Japanese firms in 2025.8
Exhibit 10
Japan's representation has several layers, not one cultural explanation
Dataset and documentation. Coverage and editor attention shape what is visible. The source list is not a census and cannot support national survival-rate claims.
View data
| Layer | Summary | Evidence or limitation |
|---|---|---|
| Dataset and documentation | Coverage and editor attention shape what is visible. | The source list is not a census and cannot support national survival-rate claims. |
| Genuine population depth | 46,708 Japanese companies were at least 100 years old at December 2025. | Teikoku Databank also counted 11 firms at least 1,000 years old. |
| Succession institutions | The ie system and non-blood heirs can preserve the business household. | Adult adoption historically widened the pool of capable successors. |
| Sector and place | Sake, confectionery, inns, medicine and craft combine recurring demand with local identity. | All 87 sake companies and 75 of 76 confectionery businesses in the dataset are Japanese. |
| Modern pressure | Ageing owners and missing successors | 142 bankruptcies of century-old Japanese firms in 2025 |
Japan's dominance in the source list reflects both a real population of old firms and the way businesses are documented, inherited and embedded in place.
Author’s synthesis of the cleaned dataset, Teikoku Databank and the succession and family-firm research cited below.
09What commonly ends a centuries-old firm?
The failure cases repeat a familiar set of problems:
- Demand for the historic core product disappears.
- Management protects tradition but fails to adapt the business model.
- Debt or speculative investments overwhelm an otherwise stable operation.
- One project, customer or lender creates a cash-flow shock.
- No capable or willing successor is available.
- Family conflict prevents a timely transfer of control.
- War, policy change, technology or the loss of protected status removes the old advantage.
- The operations survive, but independence disappears through acquisition.
Exhibit 11
What sustains continuity and what breaks it
Trusted identity versus Loss of relevance. Heritage helps while customers still value the promise behind it.
View data
| What sustains continuity | What breaks it | Research finding or case |
|---|---|---|
| Trusted identity | Loss of relevance | Heritage helps while customers still value the promise behind it. |
| Recurring demand | Market contraction | Whitechapel shows that even famous craftsmanship fails below viable market scale. |
| Renewal before crisis | Rigid tradition | Old knowledge is useful when it becomes raw material for renewal. |
| Patient finance and reusable assets | Leverage or balance-sheet shock | Kongō Gumi and Durtnell show how financial stress can overwhelm expertise. |
| Capable succession | No willing or qualified successor | Continuity depends on transferring authority as well as ownership. |
Longevity is a system of reinforcing practices, while failure often begins when one link becomes economically untenable.
The pairings are analytical, not estimated causal effects.
Author’s synthesis of the longevity research and closure cases cited in the footnotes.
10As close to immortality as a company can get
Humans have not been around for very long on this little blue ball. But within our tiny lives, 1,500 years is an enormous number. Most of us cannot name our ancestors from a few hundred years ago.
The fact that companies have survived, and in some cases thrived, for so long is incredible. They have crossed wars, fires, plagues, political revolutions, new currencies, industrialization, globalization and the internet.
A recurring pattern is that many preserved what customers trusted while changing much of what surrounded it.
This is probably as close to immortality as a company can get.
Methodology and limitations
- The starting source was Wikipedia’s List of oldest companies, retrieved on 11 August 2026.
- The raw extraction contained 1,025 rows. Two conservative duplicates were removed, leaving 1,023.
- Each company was assigned one normalized country, category and founding period. Forty rows use approximate dates, ranges or “before” dates. For date ranges, the analysis uses the earliest stated year; approximate dates are retained as given; “before” dates use the stated upper bound. Uncertainty remains flagged in the underlying data.
- The article covers companies founded from 578 through 1699. “Before 1300” is a longer interval than the other four periods and should never be interpreted as an annualized formation rate.
- Country and category statistics describe companies represented in the list. They do not measure national or sector survival probabilities.
- The top-30 ranking is a dated, mixed-evidence size comparison. Listed values change daily; private-company estimates are directional and use explicit ranges where the source draft provides them.
- A company may survive legally, operationally, as a family enterprise, as a brand or under a successor. These forms of continuity are not treated as identical.
- The wider Japanese revenue evidence covers firms at least 100 years old, not only the pre-1700 companies in the main dataset. It is used as an external benchmark and is not merged into the 1,023 rows.
Footnotes
- Nintendo, “Company History”. Nintendo states that Fusajiro Yamauchi began manufacturing and selling hanafuda playing cards in Kyoto in 1889. Return to text ↑
- Wikipedia, “List of oldest companies”, retrieved 11 August 2026. The article’s counts come from the cleaned and verified local extraction described in the methodology. Return to text ↑
- Kongō Gumi, official company profile, which gives the traditional foundation date of 578 and the current corporate establishment date of 2006; INSEAD, “Kongō Gumi: The Oldest Continuously Operating Business”; Wharton Magazine, “Brick by Brick, King by King”. Return to text ↑
- European Central Bank, euro foreign-exchange reference rates, rates dated 14 August 2026. Return to text ↑
- Public-market values, company filings and transaction evidence are listed in the valuation source register below. Ranking snapshot prepared 17 August 2026; public market values were observed around that date, while private estimates use the latest cited disclosures. Return to text ↑
- Gebrüder Weiss, “History”. The source dataset uses 1473, while the company's current materials trace the Lindau courier service to 1487 and the Gebrüder Weiss name to 1823. Return to text ↑
- Officina Profumo-Farmaceutica di Santa Maria Novella, “Our Story”. The public pharmacy opened in 1612; the Dominican medicinal tradition began in 1221. Return to text ↑
- Teikoku Databank, “Nationwide analysis of long-established companies, 2025”, published 27 March 2026. Return to text ↑
- UK Secretary of State, Whitechapel Bell Foundry planning decision, 13 May 2021, especially paragraphs 6.21–6.24. Return to text ↑
- PBC Today, “R Durtnell & Sons: How the closure of Britain’s oldest contractor impacts the industry”; UK Companies House, R. Durtnell & Sons Limited and R. Durtnell & Sons (Holdings) Limited. Companies House marks the operating company active and shows later filings, so the article describes a cessation of the historic contracting operation rather than a conclusive legal dissolution. Return to text ↑
- EU–Japan Centre for Industrial Cooperation, “Understanding Japanese Firm Longevity”. Return to text ↑
- Vikas Mehrotra, Randall Morck, Jungwook Shim and Yupana Wiwattanakantang, “Adoptive Expectations: Rising Sons in Japanese Family Firms”, Journal of Financial Economics, 108(3), 2013, pp. 840–854. Return to text ↑
- Alfredo De Massis et al., “Innovation Through Tradition”, Academy of Management Perspectives, 30(1), 2016. Return to text ↑
- Isao Yamauchi, “Firms’ Longevity and Strategic Renewal”, Transactions of the Academic Association for Organizational Science, 7(2), 2018. Return to text ↑
- Y. Yamaoka and H. Oe, “Business strategies of companies with a longevity of 300 years or longer in Japan”, International Journal of Management Concepts and Philosophy, 14(4), 2021, pp. 283–295. Return to text ↑
- I. Sasaki, D. Ravasi and E. R. Micelotta, “Family firms as institutions: Cultural reproduction and status maintenance among long-lived family firms”. Return to text ↑
References
Web sources were last checked on 25 August 2026 unless a different retrieval or valuation date is stated.
Core data and longevity research
- Wikipedia. List of oldest companies.
- Nintendo. Company History.
- Teikoku Databank. Nationwide analysis of long-established companies, 2025.
- EU–Japan Centre for Industrial Cooperation. Understanding Japanese Firm Longevity.
- Mehrotra, V., Morck, R., Shim, J. and Wiwattanakantang, Y.. Adoptive Expectations: Rising Sons in Japanese Family Firms.
- De Massis, A. et al.. Innovation Through Tradition.
- Yamauchi, I.. Firms’ Longevity and Strategic Renewal.
- Yamaoka, Y. and Oe, H.. Business strategies of companies with a longevity of 300 years or longer in Japan.
- INSEAD. Kongō Gumi: The Oldest Continuously Operating Business.
- Kongō Gumi. Official company profile.
- UK Secretary of State. Whitechapel Bell Foundry planning decision.
- PBC Today. R Durtnell & Sons: How the closure of Britain’s oldest contractor impacts the industry.
- UK Companies House. R. Durtnell & Sons Limited.
- Gebrüder Weiss. History.
- Officina Profumo-Farmaceutica di Santa Maria Novella. Our Story.
- Wharton Magazine. Brick by Brick, King by King.
- European Central Bank. Euro foreign-exchange reference rates.
- UK Companies House. R. Durtnell & Sons (Holdings) Limited: filing history.
- Sasaki, I., Ravasi, D. and Micelotta, E. R.. Family firms as institutions: Cultural reproduction and status maintenance among long-lived family firms.
- Yuasa Co., Ltd.. History of YUASA.
- Yomeishu Seizo Co., Ltd.. Company history.
- MaYinglong Pharmaceutical Group. Company overview.
- Jiuzhitang Co., Ltd.. Company overview and history.
Top-30 valuation source register
| Rank | Company | Primary source |
|---|---|---|
| 1 | Barclays | Valuation evidence |
| 2 | Merck KGaA | Valuation evidence |
| 3 | Saint-Gobain | Valuation evidence |
| 4 | Banca Monte dei Paschi di Siena | Valuation evidence |
| 5 | Kikkoman | Valuation evidence |
| 6 | Stora Enso | Valuation evidence |
| 7 | Takenaka | Valuation evidence |
| 8 | Mitsukoshi | Valuation evidence |
| 9 | Vopak | Valuation evidence |
| 10 | Tong Ren Tang | Valuation evidence |
| 11 | Mitsubishi Tanabe Pharma | Valuation evidence |
| 12 | Beretta | Valuation evidence |
| 13 | Husqvarna AB | Valuation evidence |
| 14 | Gebrüder Weiss | Valuation evidence |
| 15 | Antinori | Valuation evidence |
| 16 | Paulaner | Valuation evidence |
| 17 | MaYinglong | Valuation evidence |
| 18 | Fiskars | Valuation evidence |
| 19 | Jiuzhitang | Valuation evidence |
| 20 | CTT Correios de Portugal | Valuation evidence |
| 21 | Yuasa (formerly Yuasa Trading) | Valuation evidence |
| 22 | C. Hoare & Co. | Valuation evidence |
| 23 | Frescobaldi | Valuation evidence |
| 24 | Yamasa | Valuation evidence |
| 25 | Berenberg | Valuation evidence |
| 26 | Orell Füssli | Valuation evidence |
| 27 | Metzler Bank | Valuation evidence |
| 28 | Yomeishu | Valuation evidence |
| 29 | De Dietrich | Valuation evidence |
| 30 | Santa Maria Novella | Valuation evidence |