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Cash Forecasting

Accounting and Financial ManagementUpdated 05 Nov 2026

Cash forecasting is the practice of estimating how much cash a business will receive and pay out over a coming period, and therefore what its cash balance will be on each future date. Treasurers use the forecast to decide when to borrow, how much surplus can be invested and for how long, and whether the company can meet its obligations if trading turns out worse than planned.

A cash forecast is related to, but not the same as, a budget. A budget plans revenue, expenses and profit for a year on an accrual basis; a cash forecast tracks the timing of actual money movements. A profitable company can still run short of cash if customers pay slowly or inventory builds up, which is why the forecast sits alongside cash positioning at the centre of corporate treasury.

01

Cash forecasting in plain terms

Think of planning the household money for the next three months on a calendar. You mark payday on each month, the rent, the car insurance due in six weeks and the school trip at the end of term. Adding them up week by week shows which weeks are tight and which leave something spare, long before the bank app would tell you.

A company does the same, except its "paydays" are customer payments that may arrive late, and its bills include suppliers, wages, tax and loan repayments. The forecast is never exactly right, so the useful part is not the single number but the warning it gives: a tight week can be fixed in advance by arranging funding or delaying a purchase.

02

Horizons and methods

Forecasts are usually built for several horizons, each with a different purpose:

  • Short term. Daily or weekly figures for the next few weeks, used to plan funding and investments. The 13-week cash flow forecast is a common format, and lenders often ask for one when a company is under financial pressure or restructuring.
  • Medium term. Monthly figures for up to a year or so, used to size credit facilities, plan dividends and check loan covenants.
  • Long term. Annual figures over several years, tied to the strategic plan and capital spending.

Two methods are used. The direct method lists expected receipts and disbursements line by line: collections from accounts receivable, payments to suppliers from accounts payable, payroll, tax, interest and debt repayments. It works best for short horizons. The indirect method starts from forecast net income, adds back non-cash items such as depreciation and adjusts for changes in working capital, mirroring the indirect presentation in the statement of cash flows. It suits longer horizons, where individual invoices are not yet known.

03

Sources of data

Good forecasts combine data from across the business. Open invoices and payment runs come from the ERP system; sales pipelines and purchase orders come from commercial teams; debt schedules, hedges and investments come from the treasury management system; and actual bank balances come through balance reporting. Multinational groups also collect forecasts from each subsidiary in its own currency, which brings in foreign exchange risk and the timing of intercompany settlements.

Patterns in past data help. A treasurer may know, for example, that a large customer always pays ten days after the due date, or that receipts spike at month end. Some companies now apply statistical models or machine learning to payment histories, but most forecasts still rely on judgement from people who know the customers and suppliers.

04

Measuring accuracy

A forecast is only useful if its errors are tracked. Treasury compares each period's forecast with the actual result and looks for causes of variance, such as a delayed customer payment, an unplanned tax payment or a timing difference that will reverse next week. One common measure is:

Forecast accuracy=1−∣A−F∣A\text{Forecast accuracy} = 1 - \frac{\left| A - F \right|}{A}
  • AA is the actual net cash flow for the period.
  • FF is the forecast net cash flow for the same period.
  • ∣A−F∣\left| A - F \right| is the size of the error, ignoring whether it was over or under.

For example, if a company forecast net receipts of $900,000 for a week and actually received $1,000,000, the accuracy is 1−100,0001,000,000=0.901 - \frac{100{,}000}{1{,}000{,}000} = 0.90, or 90%. Accuracy is usually measured separately for receipts and payments, because errors on each side can cancel out and hide a problem.

05

Uses and limits

The forecast drives decisions throughout the year. It tells treasury how much cash can go into longer short-term investments rather than overnight deposits, when a credit facility will need to be drawn, and how much headroom remains under covenants. It underpins liquidity risk management, where treasurers run stress scenarios such as the loss of a major customer or a sharp fall in sales. Boards and lenders read it to judge whether the business is a going concern.

The main limits are data quality and incentives. Sales teams may be optimistic, business units may not report large payments in time, and a single unexpected outflow can make a weekly figure wrong. Regular comparison with actuals, clear ownership of each line and links to cash management and liquidity management processes keep the forecast honest.

Last updated 05 Nov 2026