Will this fixed-price project make money?

A fixed-price bid means you carry the risk that cost and time overrun. Before you sign, quantify it: what margin can you really defend, and what is the probability you end up losing money?

If you quote 20,000 USD against an expected cost of about 15,667 USD, your chance of losing money is about 3.2% — but the margin you can actually defend at 80% confidence is only about 11.8%. To hold a 20.0% margin at 80% confidence you would need to bid about 22,038 USD.

Contract & cost estimate

What the client is paying
P ≥ O
label only — no rates

Results

ScenarioP50P80P90
Estimated cost 15,667 USD 17,630 USD 18,657 USD
Your margin if you quote 20,000 USD 21.7% 11.8% 6.7%
Chance you lose money3.2%
Your quoted price20,000 USD
Minimum bid to keep your target margin at P8022,038 USD

Reading the table: a P80 cost means in 80% of outcomes cost stays at or below that figure. A negative margin at P80 means the P80 cost is above your quote; see the separate loss probability for how often a loss occurs.

Formula

cost at P = mean + z·σ,  where mean = (O + 4M + P)/6,  σ = (P − O)/6

margin at P = (price − cost_P) / price

P(losing money) = 1 − Φ((price − mean) / σ)

minimum quote for target margin m at 80% = P80_cost / (1 − m)

Normal approximation: P50/P80/P90 and the loss probability use a normal approximation to a Beta-PERT cost estimate — a fast, honest single-estimate shortcut, not a full simulation.

Continue with the whole project

See what could erode your quoted margin

Model the work behind your price: task costs, overhead and specific risk events. Then compare the proposed quote against the simulated project outcomes.

This calculator approximates one total-cost range. It does not explain which tasks or risks drive a loss. All outputs remain conditional on the assumptions you enter.

Read next: Understand margin versus markup · First-project guide · Choose another free calculator

The margin arithmetic takes seconds; defending the price behind it is the craft. Recommended reading: How to Remain Valuable When Intelligence Becomes Cheap .

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