Problems › Cash Is Tight But Sales Are Fine › HealthTech & Digital Health
Profit and cash diverge in a predictable place, and it is almost always the working capital cycle. This page works through it for digital health companies specifically — including an unedited excerpt from a real analysis of a digital health company.
Profit and cash diverge in a predictable place, and it is almost always the working capital cycle. The version of this question that applies to digital health companies is not the generic one. Outcomes risk is being signed faster than the company can learn whether it can carry it — a 12-month measurement window against an 11-month sales cycle — so an answer that ignores at-risk revenue share will be confidently wrong. The analysis has to start from engagement rate and gross margin rather than from revenue.
A profitable business runs out of cash when money leaves before it arrives — stock bought ahead of sale, work delivered ahead of invoice, invoices settled later than supplier terms. Every one of those is normal; together they set how much cash growth consumes.
The important consequence is that in this situation growth makes the problem worse, not better. Each additional sale widens the gap, which is why fast-growing profitable businesses fail with a full order book.
The levers are unglamorous and fast: terms, invoicing latency, deposits and stage payments, stock held against forecast rather than against hope. They usually release more cash more quickly than any financing conversation.
These three together are the signature. One on its own usually points somewhere else.
✓ The P&L looks healthy and the bank balance does not
✓ Debtor days have crept up without anyone deciding
✓ Growth periods reliably coincide with cash pressure
The move that usually makes it worse. Financing the gap without closing it, which converts a working capital problem into interest expense and leaves the mechanism running.
It is for you if you run or finance a digital health company and the P&L looks healthy and the bank balance does not. 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 digital health company. 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 Vantabridge Health, a sample company profile used for testing rather than a customer — $62M ARR, 340,000 enrolled members.
Excerpt from a real Percision run · Customer Value Architecture · sample company profile
The move. Convert 180 existing employer relationships into $11.7M incremental outcomes-contingent revenue by Month 24 without new-plan procurement.
The leak it closes. $6.5M device leakage reduced by shifting kit cost to employer opt-in, improving gross margin 7 points on employer cohort
The assumption it rests on. 180 employers accept outcomes-contingent terms at 45% at-risk share — the engine put the probability at 0.7.
| Investment required | $0.6–0.9M total (2 FTE employer specialists @ $180K fully loaded each × 18 months + $120K enablement tools) |
| Expected return | 13.0× on $0.9M investment ($11.7M incremental revenue by Month 24) |
| Revenue, year 1 | $3.9M incremental employer outcomes revenue |
| Revenue, year 2 | $11.7M cumulative incremental employer outcomes revenue |
| Revenue, year 3 | $18.5M cumulative if employer cohort grows 15% YoY |
| Exit criteria | Terminate move if employer conversion rate <25% by Month 12 OR if employer at-risk share demanded exceeds 50% OR if device-kit leakage reduction <10 points by Month 18. |
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 digital health companies it works through at-risk revenue share, engagement rate, gross margin and logo churn, 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.
Because profit is recognised when you invoice and cash moves when people pay. The gap between those two, multiplied by growth, is the amount of cash your growth consumes.
Usually invoicing latency and deposits, because both are within your control and take effect immediately. Chasing debtors helps and is slower; renegotiating supplier terms helps and is slower still.
Only alongside closing the gap. Financing a structural working-capital cycle without changing the cycle means borrowing again at the next growth step, on worse terms.
Materially, yes. Outcomes risk is being signed faster than the company can learn whether it can carry it — a 12-month measurement window against an 11-month sales cycle — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are at-risk revenue share, engagement rate, gross margin, 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 at-risk revenue share and engagement rate. 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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