Total Health Score
COGS
COGS — The direct costs of producing the goods or services sold, such as materials and direct labor — excludes overhead.Labor Costs
Labor Costs — Total expenditure on workforce, including wages, salaries, bonuses, and employer-paid benefits — a key operating cost driver.OpEx
OpEx — Ongoing costs of running the business that are not directly tied to production, such as software, facilities, and admin.EBITDA
EBITDA — Earnings Before Interest, Taxes, Depreciation, and Amortization — a proxy for core operating profitability.Operating Cash Flow
Operating Cash Flow — Cash generated from core business operations after operating costs and working-capital movements — measures liquidity health.Financial Overview
Financially the business is solvent but badly allocated. Revenue of $4.82M is supported by a $5.61M cost base in which the fixed share has grown faster than the variable share. EBITDA of $1.21M looks adequate on paper, yet only $0.63M of it converts to cash — roughly half of reported earnings is tied up in the balance sheet rather than available for reinvestment.
Too much capital is committed to fixed labor capacity. The $1.76M labor line is funded as permanent cost against demand that is still variable. Convert a portion of that spend into output-linked capacity and redirect the released cash into the channels already returning above 12%.
Working capital is financing customers instead of operations. With $1.21M of EBITDA converting to only $0.63M of operating cash, the shortfall is an unpriced credit line extended to buyers. Shorten payment terms and align supplier terms to the collection cycle.
Overhead is allocated to scale that has not arrived. The $0.94M of OpEx and the input-cost drift inside $2.91M of COGS are both sized for a bigger revenue base. Re-scope committed overhead to current output and re-tender the largest input contracts.
Operational Summary
Read across all six metrics together, the operation is not underperforming — it is mistimed. Capacity is staffed before volume confirms it, inputs are bought before mix is known, and cash is invoiced after the work has already been paid for internally. That lag is invisible in the top line and shows up everywhere else.
Capacity is staffed to forecast instead of to signal. Labor was added ahead of the volume meant to absorb it, so utilisation — not wage rates — is the real failure: the same output is produced by more paid hours than it needs.
The order-to-cash cycle is slower than the deliver-and-pay cycle. Work is completed and supplied in one period but collected in the next, so the business finances its own growth out of working capital and every incremental sale worsens liquidity.
Procurement and overhead are set on trailing information. Input purchasing responds to last period's consumption while OpEx is provisioned against a headcount plan that volume has not yet validated — a standing cost base that cannot flex downward.
