A financial model can be mathematically correct and operationally impossible

Hospitality damages analyses often begin with historical financial statements, an asserted growth rate, and a projection of revenue and profit. That may be a useful starting point. It is not a conclusion. A hotel, restaurant, club, event facility, or bar generates revenue through a physical and managerial operating system with real limits.

Covers, seats, room inventory, event dates, hours, menu mix, average check, occupancy, rate, staffing, service capacity, and capital condition all constrain what the business could have produced. When a projection grows faster than those drivers allow, the model may calculate cleanly while describing a business that could not actually have operated.

The baseline deserves as much scrutiny as the loss period

The but-for baseline should reflect the business that existed before the alleged event—not an idealized version of it. Seasonality, ramp-up, deferred maintenance, undercapitalization, management changes, new competition, customer concentration, and unusual one-time periods can distort a simple average or trend line.

The most probative evidence is often found below the annual total: monthly sales, occupancy or cover counts, average rate or check, mix, departmental margins, labor deployment, purchasing, marketing activity, guest demand, and contemporaneous budgets. Those records help distinguish a durable operating trajectory from a temporary result.

Causation requires competing explanations to be tested

A decline after an event does not establish that every dollar of decline was caused by that event. The analysis should consider market demand, competition, capital constraints, concept relevance, pricing, staffing, management performance, access, reputation, and other factors supported by the record.

That does not mean every alternative explanation is equally persuasive. It means the analysis should identify, test, and explain them. A transparent approach is more useful to counsel and more resilient under scrutiny than a model that treats causation as an assumption.

Costs and mitigation must follow the operating theory

Revenue is not profit. Lost-profit analysis must distinguish fixed, variable, avoided, and continuing costs in a manner consistent with the claimed operating scenario. Labor and food costs, for example, do not behave identically at every volume or across every hospitality format.

Mitigation should also be evaluated operationally. Reopening, repositioning, changing hours, moving events, replacing demand, reducing staff, or redeploying assets may be possible—but each action has a timeline, cost, and practical limit. The opinion should connect those facts to the damages period rather than applying a generic adjustment.

A stronger framework

A supportable hospitality lost-profit opinion generally aligns four layers of evidence:

  • The governing claim and relevant causation theory
  • Contemporaneous financial and operating records
  • Market, competitive, and physical constraints
  • A calculation whose assumptions match the operating evidence