Problems › Growing But Losing Money › Manufacturing
Growth that consumes cash is either an investment or a leak, and the arithmetic tells you which within one page. This page works through it for manufacturers specifically — including an unedited excerpt from a real analysis of a manufacturer.
Growth that consumes cash is either an investment or a leak, and the arithmetic tells you which within one page. What makes this harder for manufacturers is structural: the $45M automation case depends on the very customer that causes the margin problem. Any credible answer therefore has to hold contribution per machine hour and capacity utilisation in the same view, which is exactly where most internal analysis stops because the two live in different systems.
Growing while losing money is normal if each new customer eventually pays back more than they cost. It is fatal if they do not, and the two look identical for as long as growth continues — which is why the failure is usually discovered at the point where growth stops.
The test is per-unit and it is simple: what does one more customer cost to acquire and serve, what do they return, and over what period. If that is positive and the loss is fixed-cost absorption, growth solves it. If it is negative, growth accelerates the problem and every additional sale makes the position worse.
The second thing to check is working capital. A business can be profitable per unit and still run out of cash because the money goes out months before it comes in — and the faster it grows, the wider that gap becomes.
These three together are the signature. One on its own usually points somewhere else.
✓ Revenue rises, cash falls, and the two are explained separately
✓ Nobody can state contribution margin per customer without a project
✓ Funding requirements keep arriving earlier than forecast
The move that usually makes it worse. Treating the loss as a scale problem when the unit economics are negative, which turns a fixable model into a larger one.
It is for you if you run or finance a manufacturer and revenue rises, cash falls, and the two are explained separately. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a manufacturer. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Kessler Industrial Components, a sample company profile used for testing rather than a customer — $310M revenue, three plants.
Excerpt from a real Percision run · Quick Market Scan · sample company profile
The move. Monetise existing tooling and qualification stickiness by selling design-for-manufacturability services to the same OEMs that currently force 3% annual price-downs.
The leak it closes. Closes value leakage to OEMs via contractual price-downs; design authority creates new margin pool that subsidizes existing build-to-print programmes
The assumption it rests on. Customer A engineering manager will sign first paid DFM engagement within 6 months — the engine put the probability at 0.7.
| Investment required | $8-12M tooling CapEx + $4.5-6.0M annual engineering payroll (18-24 FTEs at $250K fully-loaded cost) |
| Expected return | 5.1× — $57-86M incremental EBITDA over 5 years / $12M maximum downside |
| Revenue, year 1 | $0.5-1.0M DFM service revenue |
| Revenue, year 2 | $3.5-5.0M DFM service revenue + $8-12M design-authority production revenue |
| Revenue, year 3 | $7-10M DFM service revenue + $35-50M design-authority production revenue |
| Exit criteria | Abandon this move if first paid DFM engagement is not signed by Month 9, OR if cumulative engineering hires fall below 12 FTEs by Month 18, OR if DFM-to-production conversion value falls below $4M by Month 24 |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Proprietary EFF Methodology, one of 29 engagements the platform runs. For manufacturers it works through contribution per machine hour, capacity utilisation, customer concentration and scrap, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
Yes when the loss is fixed cost being absorbed and unit economics are positive. No when each additional customer loses money, which is a different situation wearing the same clothes.
Project the current unit economics at the volume you expect and see whether the line crosses. If it does not cross at a volume you can plausibly reach, growth is not the answer.
If unit economics are negative, yes and immediately. If they are positive and the constraint is working capital, the problem is financing rather than strategy and should be solved as such.
Materially, yes. The $45M automation case depends on the very customer that causes the margin problem — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are contribution per machine hour, capacity utilisation, customer concentration, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on contribution per machine hour and capacity utilisation. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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