SaaS Cash Flow Template

Start with the 13-Week Cash Flow sheet. Download the file, open it in Excel or Google Sheets, and enter your current cash balance in the starting balance cell. Then populate the inflow rows: pull your weekly or monthly subscription cash collections from your billing platform (Stripe, Chargebee, or Recurly will have a 'cash collected' report separate from recognized revenue), your expected professional services invoices, and any one-time fees. For outflows, enter your payroll run dates and amounts, your AWS or cloud infrastructure bill cycle, and your SaaS tool renewal schedule. This first pass takes 30-45 minutes and gives you a 13-week forward cash view.

Once the 13-week sheet is set up, move to the MRR to Cash Bridge. Enter your billing system's MRR figures for the past 3-6 months, then apply your actual collection rate — check your billing platform's failed payment report to see what percentage of invoices go uncollected each month. If you have significant annual contract volume, work through the Annual Contract Timing sheet as well, entering each deal with its payment terms. These two sheets together will show you where your cash-versus-MRR gap comes from and how to close it by improving dunning, tightening payment terms, or shifting more customers to annual upfront billing.

Update the 13-week view weekly — it takes about 10-15 minutes if you pull cash collected from your billing platform and actual payroll from your payroll provider. Review the Burn Rate & Runway sheet monthly after your books close to compare actual versus projected burn. The runway indicator will flag immediately if something has changed. Most SaaS finance teams find that the MRR-to-cash reconciliation is the single most revealing exercise: it shows exactly how much recognized revenue is actually in the bank versus sitting in failed payment queues, deferred collections, or outstanding invoices.

SaaS companies have a unique cash flow challenge: their financial metrics look healthy — MRR growing, churn low, gross margin excellent — while their bank account tells a different story. The gap between recognized revenue and collected cash is larger in SaaS than almost any other business model. Monthly subscribers pay on card, but failed card rates run 5-10% of gross volume each month. Annual contracts are recognized ratably, but if payment terms are net-30 or net-60, the cash doesn't arrive for weeks. Pre-revenue-stage companies can be spending $200K/month in cash while their income statement shows $150K in recognized MRR. Without a cash flow template that maps the timing, you're managing the wrong number.

The SaaS cash flow cycle has three timing gaps worth modeling explicitly. First, the collection gap: even with good dunning, 5-15% of monthly MRR fails to collect in the billing month. Stripe's Smart Retries recover most of it, but over a 30-90 day window — meaning some MRR counted in month 1 actually arrives as cash in month 2 or 3. Second, the annual contract timing gap: a $60K annual deal signed December 31 with net-30 terms means $60K of cash arrives in late January — often a full quarter after the MRR was counted. Third, the payroll and infrastructure concentration: SaaS companies typically pay 50-70% of their expenses on two dates — the 15th and last day of the month for payroll, and on a monthly cycle for cloud costs. This concentration means specific days are high-risk for cash balance dips.

The most valuable use of a SaaS cash flow template is runway planning. Investors and boards think in terms of months of runway, and the number they care about is when cash hits zero — not when MRR stops growing. Plug your current cash balance, monthly burn, and growth assumptions into the Burn Rate & Runway sheet, and you'll immediately see whether your Series A cash extends to a Series B close, or whether you need to either cut burn or accelerate revenue. Update the model quarterly with actuals and you'll have a reliable forecast to present at board meetings. This template is structured for exactly that use case: enter actuals month by month, extend forward with assumptions, and read the runway number off the dashboard.