Quote Margin Analyzer: Check the Margin Before You Send the Quote
This free quote margin analyzer pressure-tests a quote before it goes out, and is built for estimators, sales engineers, and general managers at job shops and discrete manufacturers. Enter your quoted price, material, run hours, burdened shop rate, setup cost, order quantity, and commission, and the tool returns the real gross margin, the total gross profit on the order, and the price you would need to hit a 30% target. Setup amortization and commission are the two items estimators most often skip, and together they routinely turn an apparent 20% margin into single digits.
Your numbers
The price you are about to put in front of the customer, before any negotiation.
Raw stock, purchased components, and outside processing at current quoted supplier pricing.
Total routing run time per piece across all operations, excluding setup.
Combined labor and machine burden for the work centers on this routing.
Setup hours, programming, first article inspection, and fixturing charged once per order.
The quantity this price applies to. Setup amortization is highly sensitive to this number.
Commission, rep fees, and freight allowances that scale with the selling price.
Your results
Estimates only. This model assumes the routing estimate holds. Historical estimate accuracy is the largest source of quote margin erosion, so compare quoted hours against actual job costs before trusting a thin margin.
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How the quote math works
Start with run cost: 3.2 hours at a $78 burdened shop rate is $249.60 per unit. Material adds $165. Setup of $1,800 spread across 250 pieces adds $7.20 per unit, which looks trivial until the customer cuts the release to 40 pieces and the same setup becomes $45. Commission at 4% of a $480 price adds $19.20. Total cost is $441, leaving $39 of gross profit per unit, or 8.1%, and $9,750 on the full order. To reach a 30% margin after commission, the price would need to be about $639. That gap between 8% and 30% is what makes quote review worth the five minutes it takes.
Quote margin benchmarks and where they come from
Target margins vary widely by work type, but these ranges reflect what sustainable job shops and contract manufacturers actually hold once setup amortization, commission, and normal estimate slippage are included honestly rather than assumed away. Set your minimum acceptable margin by category before quoting season rather than negotiating it job by job under deadline pressure, because an estimator with no published floor will always find a reason the current opportunity is the exception. The categories below matter more than the company average, since a shop that mixes commodity and proprietary work can hit its blended target while losing money on half its orders.
- Repeat production work with proven routings supports 22% to 32% gross margin sustainably.
- First-article and new part numbers should carry 35% or more to cover estimate risk and rework.
- Build-to-print commodity work often clears only 12% to 18%, which is viable only at high volume.
- Anything quoted below 10% needs an explicit strategic reason, because normal estimate variance will erase it.
Reading a thin margin before you accept it
A single-digit margin is not automatically a bad quote, but it removes all tolerance for error. Check three things before sending it. First, estimate accuracy: if your shop historically runs 15% over quoted hours, an 8% margin is already negative. Second, quantity risk, since setup amortization collapses if the customer takes a partial release, and the tool shows exactly how sensitive that is. Third, whether the price is anchoring future work, because a low first quote on a repeat part becomes the ceiling for years. If you accept a thin quote, do it deliberately with a documented reason rather than because the spreadsheet said the number was positive.
How Netray strengthens your quoting process
Netray connects estimating to actual job cost history inside SyteLine, LN, Baan, and M3, so estimators quote against what similar parts really consumed rather than against standards that were optimistic when they were written and have not been touched since. We build quote-to-actual variance reporting segmented by estimator, customer, and part family, which makes systematic bias visible and correctable instead of anecdotal. On-prem AI agents then suggest routing times from comparable historical jobs and flag any quote whose margin falls below policy before it leaves the building. Everything runs inside your network, so ITAR and CMMC-controlled drawings, routings, and pricing never leave your environment.
Frequently Asked Questions
Should setup be amortized into the unit price or billed separately?
Bill it separately whenever the customer will accept it, because a separate setup charge protects you when release quantities shrink. When you must bundle it, amortize across the realistic release quantity rather than the annual forecast, and state the quantity break on the quote. The most common quoting loss in job shops is a setup amortized across 500 pieces on a blanket order that the customer then releases 50 at a time.
What margin should I target on a new customer?
Higher than your average, not lower. New customers carry unknown estimate risk, unknown payment behavior, and usually unknown print quality or revision discipline. Most disciplined shops add five to ten points on a first order and then reduce the target once two or three jobs have closed within estimate. Buying the first job at a thin margin sets an anchor price you will spend years trying to escape, and it rarely produces the follow-on volume that justified it.
Why does my actual job margin come in below the quoted margin?
Three causes account for most of the gap. Run hours exceed the estimate, usually because the estimate came from a standard rather than from history. Setup runs long on first articles and is charged to the job while the quote assumed a repeat setup. And scrap or rework consumes material and machine time that no one added to the estimate. Track quoted versus actual by job for one quarter and the dominant cause becomes obvious quickly.
Get a personalized quote margin review and a quote-to-actual variance analysis from Netray's manufacturing systems specialists.
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