Cash Conversion Cycle Calculator
Calculate DSO, DIO, DPO and your cash conversion cycle, then see exactly how much cash a one-day improvement in each releases. The number that turns a working-capital conversation into a decision.
How do I calculate the cash conversion cycle?
Add days sales outstanding to days inventory outstanding, then subtract days payable outstanding. If you collect in 45 days, hold stock for 30, and pay suppliers in 40, your cycle is 35 days: the length of time your own cash is tied up funding operations. A shorter cycle releases cash; a negative one means your suppliers are financing your working capital, which is why it is a genuine competitive advantage where it can be achieved.
How to use this tool
- 1
Enter the balances
Average receivables, inventory, and payables for the period.
- 2
Add revenue and COGS
For the same period, so the day counts are consistent.
- 3
See the cash released
Get DSO, DIO, DPO, the cycle, and how much cash a one-day improvement in each component would free up.
A shorter cycle is not automatically a better one
Each component can be improved in ways that create a worse business. Four things to check before acting on the number.
Stretching payables shifts risk, it does not create efficiency
Extending DPO by paying suppliers later improves the cycle and can damage supplier relationships, forfeit early-payment discounts, and signal distress. The metric cannot distinguish a negotiated extension from an inability to pay.
Cutting inventory raises stockout risk
Reducing DIO releases cash and increases the chance of losing a sale you cannot fulfil. The right level is a service-level decision, not a working-capital one.
The average hides the tail
A healthy DSO can coexist with a serious collection problem concentrated in a handful of very old invoices, because the average smooths the risk away. Always read DSO alongside an aging profile.
Period-end distortion
All three components use balance sheet figures from a single date. A large receipt or payment landing just before or after period end moves the cycle materially without anything about operations having changed. Use period averages where the number drives a decision.
Knowing the number is not releasing the cash
This tells you how many days of cash are trapped and what a day is worth. Releasing it means knowing which specific customers are slow and why, which inventory lines are genuinely dead, and which supplier terms are actually negotiable: customer by customer, SKU by SKU, contract by contract. That analysis is where the cash actually comes from, and it recurs every quarter because the picture keeps moving.
See how DataWyse answers thisQuestions finance teams ask about this tool
What is a good cash conversion cycle?
Lower is generally better, and the right level is entirely industry-dependent. Retailers and marketplaces often run negative cycles because they collect from customers before paying suppliers. Manufacturers with long production runs commonly sit well above 60 days. Compare against your own trend and direct competitors rather than a general benchmark.
What does a negative cash conversion cycle mean?
That you collect from customers before you have to pay suppliers, so your operations are funded by supplier credit rather than your own cash. It is a genuine structural advantage, growth generates cash instead of consuming it, and it is achievable in some business models and not others.
How do I reduce days sales outstanding?
Most improvement comes from process discipline upstream rather than chasing harder afterwards. Invoice immediately and accurately, since disputes usually start with an invoice error. Set clear terms and enforce them. Contact accounts before the due date rather than after it.
Should I use average or period-end balances?
Averages, wherever you can. Balance sheet figures from a single date move materially with the timing of one large receipt or payment, which makes a period-end cycle look better or worse than the operating reality. Averaging opening and closing balances is the usual compromise.
Is this tool really free?
Yes. No signup, no email required, no usage limit. It runs entirely in your browser: nothing you type is uploaded to a server or stored anywhere. We build these because the people who find them useful are the people who eventually need a financial analyst that works the same way.
DataWyse answers the next thirty
Variance deep-dives, cash re-forecasts, scenario plans, board prep: asked in plain English, answered in minutes, with every number traceable to its formula and source data.