Why do businesses fail, and will yours?

The best public dataset is the U.S. Bureau of Labor Statistics Business Employment Dynamics (BED) program, which follows every new private-sector business location in the country from its opening month forward. The SBA Office of Advocacy and the Census Bureau publish consistent numbers.

One cohort, followed for 10 years (opened year ending March 2013):

The long-run average across 1994 to 2022 cohorts:

The mountain is steepest at the base. Among businesses that reach Year 5, 69.5% go on to reach Year 10. Among those that reach Year 10, 76.1% reach Year 15. Every year you last, your odds improve.

Your industry sets your baseline. Here is the 5-year failure rate for each major sector (BLS BED, SBA):

Even the hardest sectors keep 45 to 55% of businesses alive to Year 5. The oft-quoted "most businesses fail" refers to the 10-year horizon, not year one. Note the myths: the "90% of restaurants fail in year one" claim has no traceable source (Ohio State found about 26% first-year failure), and there is no primary Shopify failure rate.

The failure curve is heavily front-loaded. Most closures happen in the first two years and the pattern stabilizes after Year 4. The "Valley of Death" sits at months 12 to 24, when startup cash runs dry before the business reaches self-sustaining revenue. It is a structural cash-timing gap, not usually a broken product. Practitioners flag the post-holiday crunch (January to February) and tax season as the highest-stress windows: the day a business cannot make payroll or rent is the day it effectively ends.

The CB Insights list, built from 110+ startup post-mortems (percentages exceed 100% because businesses cite multiple causes):

The small-business layer (U.S. Bank / Federal Reserve) tells a cash story: 82% cite poor cash-flow management, 79% started with too little money, and 60% failed while technically profitable. The single most important insight: "ran out of cash" is almost always the symptom, not the disease. The real disease is usually no market or broken economics. Fix the disease and the cash follows.

The dominant failure cause differs by industry. Restaurants: thin margins on food and labor, plus location. Retail: inventory carrying costs and rent on thin margins. Construction: project cash-flow timing and client payment concentration (the highest 10-year failure rate). SaaS and information: no market need and weak product-market fit. Professional services: client concentration and pricing. E-commerce: customer acquisition cost exceeding lifetime value. Know yours and watch for it specifically.

Cash, not profit, is what kills businesses. About 60% of businesses that fail were still profitable on paper the day they ran out of cash. Watch these thresholds:

The five signals to watch weekly: weeks of cash left, when invoices become actual cash, real burn versus budget, revenue concentration in any one customer, and large expenses or taxes hitting next quarter. Tool 3 above calculates all of these for you.

Ten evidence-based moves that reduce the probability of failure. Each maps to a documented cause:

Contrary to the young-founder myth, the successful founder is middle-aged. Across companies that hired at least one employee (2007 to 2014), the average founder was 41.9; among the top 0.1% fastest-growing ventures, 45.0; among those that exited via IPO or acquisition, 46.7. A 50-year-old founder is roughly 1.8x more likely to build a top-growth firm than a 30-year-old. The mechanism is not age itself: it is accumulated pattern-recognition. Three or more years of same-industry experience roughly doubles the odds of top-growth success.

Recession cohorts survive worst: BLS confirms 1-year survival was lowest for businesses born in 2001 and 2008. In 2022 to 2025, roughly 56% of firms cited operating expenses and rising input costs as top challenges (Federal Reserve SBCS). Post-COVID, sales had not returned to pre-pandemic levels for 88 to 90% of small businesses in 2021. Timing and macro conditions matter, and they are worth naming honestly when you plan your runway.

The evidence is split and honest. For owners with one or more prior businesses, the probability of exit is about 7% lower than for first-timers (NBER). But failing does not automatically make the next one succeed: a study of 8,400 German ventures found previously failed founders were more likely to fail again. What carries forward is relevant industry experience and specific lessons, not the mere fact of having failed. If your first attempt fails, keep the second in the same industry to preserve the pattern-recognition advantage.