Loss of Profit Calculator
Important: This calculator gives an estimate. For legal, tax, audit, or insurance use, apply documented assumptions and professional review.
Use the calculator below to estimate loss of profit quickly, then follow the full step-by-step guide to calculate it correctly for management reporting, insurance claims, and commercial disputes.
Important: This calculator gives an estimate. For legal, tax, audit, or insurance use, apply documented assumptions and professional review.
Loss of profit is the amount of profit a business expected to earn but did not earn due to a specific event. That event could be a production stoppage, equipment breakdown, supplier disruption, cyber incident, property damage, contract breach, or any interruption that reduces normal trading performance.
The key idea is simple: you compare what should reasonably have happened with what actually happened. The difference, after proper cost treatment and adjustments, is the estimated loss.
In most practical settings, the standard formula is:
Where:
If expected profit was 120,000 and actual profit was 85,000, loss of profit is 35,000.
When expected profit is not directly available, you can estimate lost sales and apply contribution margin:
This works well when variable costs are a stable percentage and fixed costs are already accounted for in your analysis framework.
Set exact start and end dates. A clear window avoids mixing unrelated performance effects.
Use one or more of the following: same period last year, rolling average, signed contracts, confirmed purchase orders, known growth rates, or approved budgets. Adjust for seasonality, market shifts, and capacity changes.
Pull actual revenue and cost data from reliable records. Use consistent accounting policies across expected and actual figures.
Loss calculations often fail when all costs are treated the same way. Variable costs move with output; fixed costs may continue even during interruption. Contribution-based analysis focuses on what profit would have been generated by the missing sales.
Examples include mitigation actions, temporary relocation, one-time savings, substitute sales, and exceptional expenses caused by the event. Record all assumptions and evidence.
Run base, conservative, and optimistic scenarios to understand how sensitive the estimate is to margin, sales volume, or growth assumptions.
| Item | Amount |
|---|---|
| Expected Profit (quarter) | 90,000 |
| Actual Profit (quarter) | 58,000 |
| Net Adjustment (extra temporary cost) | +4,000 |
| Loss of Profit | 36,000 |
Calculation: (90,000 − 58,000) + 4,000 = 36,000.
| Item | Amount |
|---|---|
| Expected Sales | 500,000 |
| Actual Sales | 390,000 |
| Shortfall | 110,000 |
| Contribution Margin | 32% |
| Loss of Profit | 35,200 |
Calculation: 110,000 × 0.32 = 35,200.
Loss of profit is frequently used in business interruption insurance and breach-of-contract damages. In these settings, evidence quality is as important as the formula itself. Typical documentation includes management accounts, audited statements, invoices, payroll records, production logs, purchase orders, and external market data.
A robust claim usually demonstrates:
Depending on jurisdiction and policy wording, treatment of overhead, extraordinary costs, trend clauses, and indemnity periods can vary significantly.
No. Revenue is top-line sales. Profit is what remains after costs. Loss of revenue can be much higher than loss of profit.
If actual profit is higher than expected profit, there is no loss for that period. The calculated difference can be zero or treated as a gain.
Use contribution margin tied to the affected products or services, not a generic company-wide percentage unless that is the best available proxy.
Common practice is 12 to 36 months, depending on data quality and business seasonality. Fast-changing businesses may require shorter but more granular data.
Usually no. Adjust one-off anomalies to avoid distorted estimates unless they are directly relevant and likely to recur.
To calculate loss of profit correctly, start with a defensible expected baseline, compare it with actual performance, and adjust for margin behavior and mitigation effects. The formula is simple, but accuracy depends on clean assumptions, consistent accounting, and evidence-backed inputs. Use the calculator above for a fast estimate, then refine with detailed records for high-stakes decisions.