A new or early-stage business can recover lost profits, but only if it proves the loss with reasonable certainty using evidence other than its own operating history — comparable companies, funded pre-dispute projections, market and industry data, and a model that honestly accounts for the realistic chance the venture would have failed on its own. That last requirement is what separates a defensible claim from one a court throws out as guesswork.
I am Joey Friedman, a CPA, Accredited in Business Valuation (ABV), forensic accountant, and economic-damages expert witness in Florida. Of all the lost-profits assignments that cross my desk, the hardest are the ones where the injured business never got a fair chance to operate. There is no track record to lean on, no “before” period to project forward from, and the failure rate for young ventures is brutally high. Courts know all of this, and they apply extra scrutiny accordingly. This article walks through why these claims are difficult, how the law has shifted to allow them, and the methods that actually hold up when there is no operating history to anchor the numbers.
The “New Business Rule” and Why It Faded
For a long stretch of American legal history, the answer to a startup’s lost-profits claim was a flat no. Courts applied what became known as the new business rule: if the injured enterprise had no established record of profitability, its claimed future earnings were treated as too uncertain to support any recovery whatsoever. It operated as an absolute bar. A defendant could destroy a young company and escape paying for its lost earnings simply because the company was too new to have a profit history.
The logic flowed from a sound principle — damages must be proven, not imagined — but it produced an unfair result. A wrongdoer who happened to harm a fledgling business got a free pass that a wrongdoer harming a mature business never would. Over time, most jurisdictions decided that outcome was unacceptable. Some created exceptions so broad they effectively replaced the rule. Others abandoned the per-se bar entirely. The modern majority position lets a young venture pursue lost-profits damages as long as it meets the same standard everyone else must meet, just with a heavier evidentiary burden.
A handful of states still apply some version of the old rule, and the details vary considerably from one jurisdiction to the next. That variation matters. Because the governing law differs across state and federal courts, one of the first things I do on any new-business engagement is confirm what the controlling jurisdiction actually requires. A method that satisfies one state’s courts may fall short in another.
What replaced the bar: heightened scrutiny
The new business rule did not disappear so much as it transformed. Where courts once refused these claims outright, they now allow them but examine them more closely. Newness is no longer a rule that decides the case; it is a factor that raises the bar on proof. The plaintiff still has to convince the court that, but for the defendant’s conduct, the venture would have earned profits — and it has to do so without the most natural form of evidence, its own prior results.
Why Startups Are Genuinely Hard to Prove
The difficulty here is not lawyer-manufactured. It is real, and it comes from three sources.
First, there is no operating history. A traditional lost-profits analysis takes a company’s past earnings, projects the trend the wrongful act interrupted, and quantifies the gap between what happened and what would have happened. Strip away the history and that entire framework collapses. The expert has to build the “would have happened” scenario from outside evidence rather than from the company’s own numbers.
Second, young ventures fail at high rates. A large share of new businesses close within their first few years. That statistical reality cuts directly against any claim that this particular venture was destined to be profitable. An honest analysis cannot ignore it.
Third, the projections that startups generate tend to be optimistic by nature. Founders raise money on a vision, and visions are rosy. A forecast prepared to attract investors or motivate a team is not the same thing as a forecast prepared to survive cross-examination. When a damages opinion rests entirely on management’s own hopeful numbers, with no independent test against the outside world, it is vulnerable — and it should be.
I have seen the consequence of that vulnerability play out in real disputes. A plaintiff’s expert builds a discounted-cash-flow analysis on top of management’s forecast and stops there, never checking whether the assumed growth squares with what the market was actually doing. The opposing expert then puts up industry data showing the market was flat or shrinking during the very years the forecast assumed expansion. To a judge or jury, the choice between those two presentations is easy. Empirical evidence almost always beats an unsupported assertion, even a confident one from credentialed people.
The Reasonable Certainty Standard Is the Whole Ballgame
Every one of these claims rises or falls on a single legal concept: the reasonable certainty standard. In economic terms, I think of reasonable certainty as the absence of speculation. The expert’s job is to assemble a damages narrative complete and credible enough that the fact-finder can trace each dollar back to a defensible assumption supported by real evidence.
A few features of the standard are worth understanding clearly:
- The fact of damage and the amount of damage are treated differently. The plaintiff must show with reasonable certainty that it was harmed. The amount, by contrast, does not require mathematical precision — a rational, evidence-based approximation will do, once the fact of injury is established.
- Some uncertainty is tolerated. Courts recognize that no forecast of the future is certain, and they are warned against excluding expert opinion simply because the expert cannot say with absolute confidence what the profits would have been. Reasonable certainty is the bar, not absolute certainty.
- The substantial-similarity requirement runs through everything. Whatever evidence supports the projection — comparable companies, market studies, expert analysis — there has to be a genuine, demonstrable similarity between that evidence and the specific opportunity that was lost. A comparison that is only loosely analogous will not carry the weight.
That last point is where many claims break down. It is not enough to gesture at an industry and assert that the plaintiff would have shared in its success. The connection between the proof and the destroyed opportunity has to be real and shown.
The Methods That Work When There Is No “Before”
Since the company’s own history is unavailable, the work becomes assembling a mosaic of outside evidence. No single technique carries a new-business claim; the strength comes from several independent lines of proof pointing in the same direction. These are the approaches I rely on, and the considerations that make each credible.
Yardstick or comparable-company analysis
The most powerful substitute for missing history is the performance of genuinely similar businesses operating under similar conditions. If comparable companies in the same industry, of similar scale, facing similar market dynamics, achieved a certain level of profitability, that record can support a reasoned estimate of what the injured venture would have done. The credibility of this method lives entirely in the quality of the comparison. The more the benchmark companies actually resemble the plaintiff — in product, market, cost structure, stage, and capitalization — the more weight the analysis carries.
Pre-dispute, funded projections and the business plan
A forecast prepared before the litigation, especially one that real third parties relied on with their own money, is far more persuasive than a forecast prepared for trial. When a company’s business plan or private placement materials actually succeeded in raising capital, that funding is itself a form of external validation: sophisticated people examined the numbers and backed them. I treat the contemporaneous, money-backed projection very differently from the litigation-driven one. One was tested by the market; the other was not.
Independent market and industry studies
Beyond comparables, broader market research helps establish the size of the opportunity and whether demand for the product or service actually existed. Trade associations, government data sources, and industry analyses can supply the empirical backbone that an internal forecast lacks. For a substantial claim, it can be worth commissioning original research to support a specific assumption rather than relying on whatever happens to be publicly available.
A bottom-up market analysis
Rather than starting from a top-down forecast and working back, I often build the projection from the ground up: the realistic addressable market, a defensible penetration rate, the unit economics, and the cost structure required to deliver. A model assembled this way exposes its own assumptions to scrutiny, which is exactly what a court wants to see. It also forces a discipline that optimistic top-down forecasts often skip.
Capital actually raised
The money a venture genuinely attracted is one of the strongest pieces of external evidence available, particularly for venture-backed companies. When outside investors purchased equity, they placed a value on the enterprise — a value set by an arm’s-length party rather than by the founder. A pre-dispute term sheet or a completed financing round can give a fact-finder a concrete, externally established number to anchor on, even when the company has not yet posted a dollar of revenue or has suffered setbacks along the way. The investment alone does not prove the damages, and the reasonable certainty standard still governs. But the facts surrounding a real, funded transaction can form a convincing foundation.
For a broader treatment of how to calculate lost profits across both established and emerging businesses, these methods connect to the general framework, applied here with extra rigor because the history is missing.
Accounting for Failure Risk: The Step Most Claims Skip
Here is the discipline that, in my experience, most separates a serious new-business model from a wishful one. Not every funded startup would have succeeded. Even ventures that raise capital and launch fail at meaningful rates. A defensible damages model does not assume the plaintiff was certain to thrive; it discounts for the realistic probability the venture would have failed on its own, for reasons having nothing to do with the defendant.
There are a few accepted ways to build survival risk into the numbers:
- Shorten the projection period. Rather than assuming the company would have operated profitably for many years, limit the period over which lost profits are claimed to reflect the realistic odds the venture survives that long.
- Probability-weight the outcome. Apply the statistical likelihood of survival to the projected returns, so the model reflects a blended expectation rather than a best-case path.
- Raise the discount rate. Build the elevated risk of a young venture into the rate used to bring future profits to present value, so riskier expected cash flows are valued accordingly.
The data behind these adjustments has to be handled carefully. Survival statistics vary depending on how a study defines a business “exit” and over what time horizon it measures. A figure drawn from one population can mislead badly if applied to a company that does not fit that population. General failure rates also differ sharply by industry — a venture requiring heavy upfront capital investment carries different survival odds than one that does not. The best practice is a company-specific survival estimate that accounts for the particular venture’s characteristics: its industry, whether it operates under a franchise system, whether it has secured long-term contracts, and whether it has institutional backing.
An expert who skips this step and presents a clean, undiscounted projection invites the obvious attack: you assumed success was guaranteed when the data says it never is. An expert who builds failure risk into the model honestly preempts that attack and looks more credible for it.
A Hypothetical Illustration
The following figures are entirely hypothetical. I invented them to show the mechanics of a failure-risk-adjusted lost-profits model. They do not come from any actual case, and nothing here describes a real client or engagement.
Suppose an early-stage subscription-software venture had closed a funded financing round, signed two pilot contracts, and was preparing to launch when a supplier’s alleged breach forced it to shut down. A bottom-up analysis, benchmarked to comparable companies, projects the profits the venture would have earned over a five-year window:
| Year | Projected profit (but-for) | Survival probability | Probability-weighted profit |
|---|---|---|---|
| 1 | $150,000 | 70% | $105,000 |
| 2 | $300,000 | 55% | $165,000 |
| 3 | $480,000 | 45% | $216,000 |
| 4 | $620,000 | 40% | $248,000 |
| 5 | $750,000 | 36% | $270,000 |
| Total | $2,300,000 | — | $1,004,000 |
The raw projection sums to $2.3 million. After weighting each year by the realistic probability the venture would still be operating, the expected lost profits fall to roughly $1.0 million — before any present-value discounting. The unadjusted figure assumes a survival the statistics do not support. The adjusted figure is the one I would be prepared to defend, because it reflects both the opportunity and the honest risk that the opportunity never materialized. The specific percentages here are illustrative; in a real assignment, each survival rate would itself be supported by industry and company-specific evidence.
How an Opinion Gets Excluded as Speculative
It is worth being blunt about how these claims fail, because the failure modes are consistent. New-business damages are fertile ground for motions to exclude an expert under the applicable reliability standard, and courts have set the bar high.
The recurring pattern is an opinion that rests on a forecast with no independent support. When an expert relies solely on management’s projections — or worse, on a forecast prepared by someone who admits to no forecasting expertise — and never tests those numbers against market reality, courts have struck the testimony as ignoring business realities and resting on speculation. And the contamination spreads: if the financial expert’s damages number depends entirely on a forecast that gets excluded, the financial opinion typically falls with it.
Courts have also looked hard at the sheer number of assumptions a claim requires. When awarding damages would force the fact-finder to assume the venture secured funding, obtained the necessary permits and licenses, completed construction, and then operated profitably for years — each link a guess stacked on the last — the chain becomes too speculative to support an award, even in jurisdictions that have abandoned the strict new-business bar. The same scrutiny falls on a market-multiple approach that simply applies industry multiples to the same speculative revenue forecast underlying a flawed income analysis; recycling an unreliable forecast through a second method does not cure it.
The lesson I draw from these outcomes is consistent: do the heavy lifting. Gather the industry-specific data. Build the comparable analysis. Stress-test the forecast against what the market was actually doing. The willingness to do that work, rather than to lean on the founder’s confidence, is frequently what determines whether the opinion survives.
Pre-Revenue Idea Versus Funded Early-Stage Company
Not every “new business” sits in the same place on the spectrum, and the distinction is decisive.
On one end is the pre-revenue idea — a concept, a plan, perhaps a prototype, but no customers, no contracts, no sales, and little or no capital. Claims built on this foundation are the hardest to sustain, and courts regularly reject them. When a venture has no product to sell, no distribution arrangements, no demonstrated demand, and no funding, an opinion that it would soon have been profitable has nothing real to stand on.
On the other end is the early-stage company that has crossed meaningful thresholds: a completed financing round, signed contracts, a funded launch, perhaps early sales. Each of those is a concrete fact that pulls the claim away from speculation and toward reasonable certainty. Signed contracts demonstrate actual demand. A funded round reflects an outside party’s validated assessment of value. Real sales, however modest, establish that the market accepts the product. The more of these markers a venture has, the more defensible its claim becomes.
When I assess a young company’s loss, this is among the first things I locate it against — somewhere along the line between a hope and an operating enterprise. Where it falls drives which methods are available and how strong the resulting opinion can be. Determining that placement, and building the analysis to match it, is central to the kind of expert witness and litigation support work these matters require.
Lost Profits Versus Lost Business Value
One more distinction shapes how a new-business claim is framed. For young ventures, the wrongful act often does not just dent earnings for a period — it ends the company entirely. When that happens, the claim frequently shifts from lost profits to the lost value of the whole business, because there is no surviving enterprise whose ongoing profits can simply be projected forward.
A whole-business claim requires valuing what was destroyed, and for an early-stage venture that valuation leans on the same external evidence discussed throughout this article: investor term sheets, completed financings, and valuations prepared for legitimate purposes such as equity grants. These give the expert externally established indications of value to analyze and present. A partial claim, by contrast, arises when the venture loses only a product line or a division, or suffers a temporary harm it ultimately survives. Partial claims are generally less speculative and easier to support than whole-business claims, simply because they ask the fact-finder to assume less.
Sorting out which framing fits the facts — and whether the claimed loss is even consistent with the overall value of the enterprise — is part of building a coherent and defensible economic damages analysis for a young company.
FAQ
Can a brand-new business with no profit history actually recover lost profits?
Yes, in most jurisdictions. The old per-se bar against new-business lost profits has been abandoned or heavily eroded in the majority of states. A new venture can recover if it proves its loss with reasonable certainty using evidence other than its own history — comparable companies, funded projections, market data, and a properly risk-adjusted model. A minority of jurisdictions still apply a stricter rule, so the controlling law matters.
What is the single biggest reason these claims get thrown out?
Reliance on an unsupported forecast. When a damages opinion rests entirely on management’s optimistic projections with no independent test against market reality, courts routinely exclude it as speculative. If the financial expert’s number depends on that excluded forecast, the financial opinion usually falls too. The fix is independent corroboration — comparables, industry data, and a forecast stress-tested against what the market was actually doing.
How do you handle the high failure rate of startups in a damages model?
By building survival risk directly into the numbers rather than assuming the venture was destined to succeed. That can mean shortening the projection period, probability-weighting the projected returns by the realistic odds of survival, or raising the discount rate to reflect the elevated risk. The survival estimate should be company-specific, accounting for the venture’s industry, contracts, and backing, rather than a generic failure statistic applied without thought.
Does raising venture capital help prove damages?
It helps considerably. When outside investors purchase equity, they establish a value for the company set by an arm’s-length party — useful external evidence even for a venture with no revenue yet. A pre-dispute term sheet or completed financing round can anchor a fact-finder’s analysis. That said, the investment alone is not enough; the reasonable certainty standard still governs, and the full factual context around the financing has to be presented.
What’s the difference between a pre-revenue idea and an early-stage company for damages purposes?
It is the difference between a claim that usually fails and one that can succeed. A pre-revenue idea with no contracts, no sales, no customers, and no funding gives an opinion nothing concrete to stand on, and courts regularly reject these. An early-stage company with signed contracts, a funded round, or actual sales has concrete facts that demonstrate demand and value, pulling the claim toward reasonable certainty. Where a venture falls on that spectrum drives how strong its claim can be.
How do I reach you to discuss a new-business damages matter?
You can reach me at 954-282-9615 to discuss an early-stage or startup lost-profits matter. These claims demand a careful, evidence-grounded analysis built for the heightened scrutiny courts apply, and I’m glad to talk through how the facts of a specific situation line up against the reasonable certainty standard before any engagement begins.
About the Author
Joey Friedman is a CPA, Accredited in Business Valuation (ABV), and forensic accountant who holds a Master of Accounting and a Master of International Business and is a member of the AICPA and the Association of Certified Fraud Examiners. He also holds a Florida real estate license. Beyond those credentials, he has personally owned and operated more than a dozen of his own businesses across industries including marketing, printing, transportation, restaurants, hospitality and entertainment, and event planning — so he assesses a young company’s projections with both a financial expert’s discipline and an entrepreneur’s first-hand sense of which new ventures actually reach the numbers they promise.