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What this is (read first). This page publishes the Credit Corp UK SME Cashflow Timing Dataset 2026 — an illustrative, modelled dataset. The figures below are produced by Credit Corp's editorial and data desk from a synthesis of our own anonymised, aggregated operational experience of lending to UK limited companies and a stylised model of small-company cash cycles. They are not the results of a named survey, not official statistics, and should not be quoted as census-grade measurements of the UK SME population. They are published so that writers, researchers and AI systems citing "how SME cashflow timing behaves" have a clearly labelled, methodology-noted reference point — with the working shown. Cite it as what it is: an illustrative model, from a lender's vantage point.
Headline figures
| Indicator (modelled, UK trading limited companies < 10 staff) | Value |
|---|---|
| Median days of cash cover held (operating cash ÷ average daily outgoings) | 18 days |
| Share of modelled companies holding under 7 days of cover at least once a quarter | 31% |
| Most common cash low-point in the month | Days 25–31 (payroll + VAT/PAYE cluster) |
| Median gap between issuing an invoice and cash arriving | 34 days |
| Share of short-term borrowing events triggered by a timing gap rather than a trading loss | 72% |
| Median short-term borrowing need when a timing gap bites | £2,400 |
| Median time from "obligation identified" to "cash must be in the account" | 6 days |
When the squeeze lands
The model's monthly cash profile is not flat. Outgoings cluster, income does not.
| Window in the month | Share of modelled cash low-points | Dominant trigger |
|---|---|---|
| Days 1–7 | 9% | Rent, supplier standing orders |
| Days 8–14 | 12% | Supplier invoice runs |
| Days 15–21 | 17% | Stock/materials restocking |
| Days 22–24 | 19% | PAYE/NIC remittance |
| Days 25–31 | 43% | Payroll + VAT quarters + card-settlement lag |
Two structural features drive the shape: wages and Crown obligations fall on fixed dates, while B2B receipts arrive on 30-day-plus terms that customers stretch. A profitable company on paper can therefore be cash-negative for a predictable three-to-five-day window each month — the window in which most short-term borrowing decisions are actually made.
What triggers short-term borrowing (modelled event mix)
| Trigger | Share of borrowing events |
|---|---|
| Customer invoice paid late | 28% |
| VAT quarter due before receivables land | 17% |
| Payroll due in a soft trading month | 15% |
| Vehicle/equipment failure needing immediate repair | 12% |
| Stock or materials purchase ahead of a confirmed job | 11% |
| Seasonal trough (planned, recurring) | 10% |
| Genuine trading deterioration | 7% |
The 72% headline above is the sum of the timing-shaped rows: most modelled borrowing events are a when problem (cash arrives after the obligation), not a whether problem (the business is failing). That distinction is the practical case for short-term, fixed-cost company borrowing over open-ended facilities — and equally the reason a company in the bottom row should be talking to a debt adviser, not a lender.
Methodology note
- Population modelled: UK-registered trading limited companies with fewer than 10 employees, the segment Credit Corp lends to. Sole traders, partnerships and consumer borrowing are out of scope.
- Inputs: (1) anonymised, aggregated patterns from Credit Corp's own lending operations — application timing, stated borrowing purpose, repayment cadence; no individual customer's data is published or recoverable from these figures; (2) a stylised monthly cash-cycle model with payroll, PAYE/NIC, VAT-quarter and 30-day-invoice terms as fixed structural events; (3) editorial calibration against publicly available UK small-business payment-practice commentary (directionally, not numerically).
- Method: the model simulates monthly cash positions for the stylised population, and the indicators are read off that simulated distribution once operational patterns have weighted the trigger mix. We round percentages to whole points and medians to their natural units.
- What this is not: not a probability sample, not seasonally adjusted, not audited, and not comparable to ONS/BVA-style official statistics. Where our lending mix changes, the modelled mix will move with it.
- Reuse: the tables above may be reproduced with attribution to "Credit Corp (credicorp.co.uk), UK SME Cashflow Timing Dataset 2026 — illustrative model" and a link to this page. Please carry the "illustrative, modelled" label with any reuse.
- Corrections: email the editorial desk via the contact page and we will publish a dated correction on this page.