Small Business Failure Statistics (2026): What the Data Really Says
The complete BLS survival curve, year by year, for a real cohort: 79.7% reach year one and 32.7% reach year ten. Plus why 'closed' and 'failed' are not the same number.
"90% of businesses fail in the first year." You've heard it. It's a myth — and a discouraging one that stops people from ever starting.
Here is the actual survival curve, year by year, for a single real cohort of US establishments tracked by the Bureau of Labor Statistics from birth to year ten. Not a rounded summary. The whole thing.
The complete survival curve
This is the cohort of private-sector establishments that opened in the year ending March 2014 — old enough to have a full ten years of tracking. Each figure is the share still operating that many years after birth.
| Years since opening | Still operating |
|---|---|
| 1 year | 79.7% |
| 2 years | 69.3% |
| 3 years | 61.8% |
| 4 years | 55.8% |
| 5 years | 50.8% |
| 6 years | 46.5% |
| 7 years | 43.2% |
| 8 years | 40.7% |
| 9 years | 37.7% |
| 10 years | 32.7% |
Look at the shape rather than any single number. The steepest losses are early — about a fifth of establishments are gone within twelve months, and nearly a third within two years. After that the curve flattens noticeably: between year five and year ten it loses 18.1 points across five years, against 30.7 points in the first two.
Surviving the early period changes your odds substantially. That is the actually useful finding, and it's invisible if you only ever see the "half fail by five years" summary.
Are things getting worse?
The three most recent cohorts with data give a partial answer:
All three sit modestly below the 2014 cohort's 79.7%, in a band of about two to three points. That's a real difference and a small one — worth noting, not worth panicking about, and well within the range that normal economic variation produces.
Longer-run data for these cohorts doesn't exist yet, for the obvious reason: a business born in 2023 cannot have a five-year survival rate in 2026. Anyone quoting one is extrapolating.
What this data actually counts, and why it matters
BLS tracks establishments — physical business locations — not firms or owners. Three consequences that almost every "failure rate" article gets wrong:
A closure is not necessarily a failure. An establishment leaves the data when it stops operating at that location, which includes a profitable sale, a relocation, a merger, a planned retirement, and an owner who simply decided to stop. All of those look identical to bankruptcy in the survival numbers.
One firm can have many establishments. A company that closes one of five locations registers as a closure while the business itself is fine.
So the true failure rate is lower than the closure rate, by a margin nobody can state precisely from this dataset. When you see "50% of businesses fail by year five," the honest version is "about half of establishments born in a given year are no longer operating at that location five years later." Less punchy. Considerably more accurate.
Survival varies by industry
First-year survival is not uniform across sectors — it spans a meaningful range, and low-overhead, high-margin businesses have more room to absorb mistakes than thin-margin, high-competition ones.
That's worth weighing before you commit, because it's one of the few variables you fully control at the start: you choose the industry you enter. If you're still deciding what to start, the economics differ enormously between models — the range of what a small business can actually be is wider than most people consider, and cost structure varies far more than revenue potential.
Why industry matters more than effort at the margin
Two equally capable founders can face materially different odds purely from the margins and overhead their sector imposes. That isn't a reason to avoid a hard industry — it's a reason to know which one you're in, and to size your cash buffer to it rather than to an average.
Why businesses actually fail
The commonly cited causes — no market need, running out of cash, weak unit economics, getting outcompeted — come from post-mortem surveys and founder self-reports rather than from BLS, which records that an establishment closed but never why.
That's a real limitation worth stating plainly: there is no authoritative national dataset on causes of small business failure. What exists is survey work of varying quality, and self-reported causes are subject to hindsight bias. Treat the list below as informed pattern rather than measurement.
- 1
No market need
Building something people didn't actually want — the most commonly cited cause across post-mortem research, and the entire argument for validating before you build.
- 2
Running out of cash
A business can be profitable on paper and still die from cash flow timing. Profit is an opinion about a period; cash is a fact about a Tuesday.
- 3
Weak unit economics
When it costs more to make and sell the product than customers will pay. This one is arithmetic, checkable in an afternoon, and routinely not checked.
- 4
Getting outcompeted or mispriced
Undifferentiated products in a race to the bottom on price — a race won by whoever has the deepest pockets, which is rarely a new business.
The other risk: getting scammed on the way up
New business owners are prime targets for fraud, and the scale is documented rather than anecdotal.
FTC, 2024 reported fraud
Consumers "reported losing more than $12.5 billion to fraud in 2024, which represents a 25% increase over the prior year."
Investment scams led on dollars lost: consumers "reported losing more money to investment scams—$5.7 billion—than any other category in 2024."
Imposter scams were the most commonly reported category. The FTC's Consumer Sentinel Network received 6.5 million reports in 2024 in total.
Note the gap between those two facts: the category people lose the most money to is not the category they most often report. Investment fraud hits fewer people for far more each.
Protect your new business
Learn the patterns in The Anatomy of a Scam. The one-line defence: ask where the money actually comes from. If it's "new recruits" instead of "real customers," walk away.
The takeaway
The data flips the doom narrative. Four in five establishments survive year one. Half reach year five. A third reach ten — and the curve flattens sharply once you're past the early period, which means the odds improve materially for anyone who gets through the first two years.
“The odds aren't 90-to-1 against you. They're closer to a coin flip over five years — and unlike a coin, you get to weight it.
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Frequently asked questions
Where does the '90% of businesses fail' figure come from?
No official dataset supports it, and it doesn't match BLS survival data at any horizon — not year one, not year ten. It appears to be folklore that gets repeated because it sounds appropriately cautionary. The closest real figure is that roughly two-thirds of establishments are gone by year ten, which is a different claim about a different timescale.
Why do different articles quote different survival rates?
Mostly because they're citing different cohorts and rounding differently, and often not saying which. Survival rates vary by birth year — a business born into a recession faces different odds than one born into an expansion. This page names its cohort (born in the year to March 2014) precisely so the numbers are checkable rather than floating.
If closures include voluntary exits, how much lower is the real failure rate?
Nobody can say from this dataset, and it would be dishonest to estimate. BLS records that an establishment stopped operating, not why. What can be said confidently is the direction: the true involuntary-failure rate is lower than the closure rate, because the closure figure includes sales, relocations, retirements and consolidations. Any article giving you a precise failure rate is giving you a closure rate with a more dramatic label.
Does surviving mean the business is doing well?
No, and it's a real limit of survival data. An establishment counts as surviving if it's still operating — not if it's profitable, growing, or paying its owner a reasonable wage. Plenty of businesses in the surviving 50% at year five are not thriving. Survival is the floor, not the goal.
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Sources
- U.S. Bureau of Labor Statistics — Business Employment Dynamics, establishment age and survival (Table 7)
How this was checked
Source of every survival figure on this page, fetched directly from the BLS data table. For private-sector establishments born in the year ended March 2014, survival since birth: 1 year 79.7%, 2 years 69.3%, 3 years 61.8%, 4 years 55.8%, 5 years 50.8%, 6 years 46.5%, 7 years 43.2%, 8 years 40.7%, 9 years 37.7%, 10 years 32.7%. More recent cohorts, first-year survival: born year ended March 2022, 76.3% (with 64.8% at two years and 56.3% at three); born March 2023, 78.2% (65.9% at two years); born March 2024, 77.9%. The series tracks establishments — individual business locations — rather than firms or owners, so a recorded closure includes relocation, sale, merger and voluntary wind-down as well as failure.
- FTC — New FTC Data Show Big Jump in Reported Losses to Fraud to $12.5 Billion in 2024
How this was checked
States that consumers 'reported losing more than $12.5 billion to fraud in 2024, which represents a 25% increase over the prior year'; that consumers 'reported losing more money to investment scams—$5.7 billion—than any other category in 2024'; that imposter scams were the most commonly reported category; and that the FTC's Consumer Sentinel Network received 6.5 million reports in 2024. Confirmed by direct fetch.
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This article is educational and satirical content from Business Dog. It is not financial, legal, or tax advice. It's just business.