The Cash Flow Contingency Problem: Building Resilience Into Your Runway
Seth Girsky
January 01, 2026
## The Cash Flow Contingency Problem: Building Resilience Into Your Runway
We work with founders who swear their cash flow is "under control." They have a forecast, they track actuals, they know their runway number. Then something breaks.
A major customer delays payment by 30 days. A key hire takes longer to onboard than expected, pushing marketing spend into the next month. A supplier suddenly requires payment upfront instead of net-30. A regulatory change costs $50K to address immediately.
None of these are catastrophic on their own. But they weren't in the forecast. And because founders don't build cash flow contingencies into their planning, they create unnecessary panic and make desperate decisions—cutting salaries, delaying payroll, or abandoning planned growth investments at exactly the wrong moment.
This isn't really a cash flow management problem. It's a **contingency planning problem**. And it's the gap between startups that survive turbulence and those that don't.
## The False Confidence of Single-Scenario Planning
Most startup cash flow models are built on a single narrative: the plan. Revenue grows at X%, expenses stay at Y%, and you have Z months of runway. It's clean. It's presentable to investors. And it's dangerously incomplete.
We've seen this play out repeatedly with our clients:
- A SaaS founder built a 13-week forecast showing $400K cash on hand with 6 months of runway. In week 6, a customer representing 22% of monthly recurring revenue churned unexpectedly. Their "6-month runway" became 4.5 months in a single moment.
- An e-commerce startup planned for steady customer acquisition at their current CAC. When iOS privacy changes hit in year two, their CAC jumped 40% overnight. Their expense line didn't move in the forecast, but their actual burn rate climbed by $15K monthly.
- A B2B software company modeled 30-day payment terms from new enterprise customers. Their largest prospect took 67 days to process an invoice. Working capital needs spiked 50%, and they had to bridge the gap with a short-term line of credit they didn't budget for.
The problem isn't that forecasting is bad—it's that single-scenario forecasting creates false confidence. Founders believe in their runway number because it's quantified, tracked, and presented clearly. Then reality delivers a surprise, and the plan evaporates.
## Building Your Cash Flow Contingency Framework
Contingency planning for startup cash flow isn't about predicting every possible disaster. It's about systematically identifying the assumptions most likely to break and planning your response.
### Step 1: Map Your Cash Flow Assumptions
Every cash flow forecast is built on assumptions. The problem is founders rarely list them explicitly. They're embedded in the numbers.
Take 30 minutes and write down your core assumptions:
**Revenue assumptions:**
- Customer acquisition rate (new customers per month)
- Average contract value (ACV) or average order value (AOV)
- Customer churn rate
- Payment timing (when do customers actually pay?)
- Payment default rate (what % don't pay?)
**Expense assumptions:**
- Payroll (headcount growth timeline)
- Contractor costs (are these sticky or variable?)
- Tools and SaaS subscriptions
- Infrastructure and hosting costs
- Marketing spend efficiency
- Operational expenses (rent, insurance, travel)
**Working capital assumptions:**
- How long between payment to suppliers and cash collection
- Inventory levels (if applicable)
- Accounts receivable aging
- Seasonal patterns in cash collection
Write these down. This simple act—making assumptions explicit—is where contingency planning begins.
### Step 2: Identify Your Fragile Assumptions
Not all assumptions are created equal. Some are relatively stable. Others are fragile—they're based on limited data, they're dependent on external factors, or they represent concentration risk.
For each assumption, ask:
**How confident am I in this number?** If you can't back it with 3+ months of actual data, it's a forecast. Forecasts break.
**How much would this number need to move to impact runway materially?** If customer churn moves from 2% to 3%, does it cost you a week of runway? A month? This is sensitivity analysis, and it identifies which assumptions matter most.
**Am I dependent on one customer, channel, or source of cash?** Concentration risk is invisible in your forecast until it materializes. If one customer is 20%+ of revenue or one channel is 40%+ of acquisition, you have contingency risk.
**Is this assumption dependent on external factors I don't control?** Changes in pricing power (competitors), regulatory changes, technology shifts (like Apple's iOS changes), or market conditions can all break cash flow assumptions quickly.
In our work with Series A startups, we've seen the fragile assumptions consistently cluster around:
- **Revenue timing and customer payment cycles** (especially in B2B with net-30+ terms)
- **Headcount and payroll growth plans** (hiring takes longer than forecasted; onboarding is slower)
- **Unit economics on new marketing channels** (CAC increases as you scale spend)
- **Customer concentration** (top 5 customers represent >50% of revenue)
These aren't predictions of failure. They're honest assessment of where your cash flow model is most likely to deviate from reality.
### Step 3: Build Scenario-Based Cash Flow Models
Now build three versions of your cash flow:
**Base Case (Your Plan):** This is your current forecast. Nothing breaks materially. It's achievable but requires things to go roughly as planned.
**Stress Case (Realistic Downside):** Here's where contingency planning becomes real. For each fragile assumption you identified, move it by a reasonable margin:
- Customer churn increases 1-2 percentage points
- A major customer or channel delivers 30-40% below forecast
- Payroll growth happens slower (hire 1-2 weeks later than planned per role)
- Collections take 15 days longer than modeled
- A planned capital expense (new server, tool upgrade) is needed sooner
Don't catastrophize. Make it realistic—the kind of "things didn't go quite right" scenario that actually happens.
**Panic Case (Severe Downside):** This is where you assume multiple things break simultaneously:
- Revenue misses by 40%
- A major customer (top 3) churns
- A planned fundraise doesn't close on schedule
- An unexpected expense (legal, regulatory, infrastructure) hits
This one should hurt a little. If your panic case still leaves you 6+ weeks of runway with a clear recovery plan, you're resilient. If you dip below 4 weeks of runway, you have a real problem to solve.
### Step 4: Identify Your Contingency Triggers and Responses
This is the actionable part. Don't just build scenarios—identify what triggers each one and what you'll do.
Example:
**Trigger:** Two major customers signal they may not renew (representing 15% of MRR combined)
**Contingency Response:**
- Reduce discretionary marketing spend by 25% (saves $8K/month)
- Delay non-critical hiring (saves $25K/month in loaded payroll)
- Defer infrastructure expansion (saves $3K/month)
- **Result:** Extends runway 4-6 weeks, giving you time to close replacement revenue
**Trigger:** CAC on primary channel increases 50% due to market saturation
**Contingency Response:**
- Reduce acquisition spend on primary channel by 30%, redirect to secondary channels
- Increase customer success resources for retention (reduce churn by 0.5 points)
- Launch partner channel program (extend sales cycle but lower CAC)
- **Result:** Reduces revenue impact to 10-15% vs. 30%, runway extends by 2-3 weeks
You're not trying to prevent these scenarios. You're building a decision tree so when they hit, you're not reacting in panic—you're executing a prepared plan.
## The Working Capital Angle Most Founders Miss
When we talk about startup cash flow contingencies with founders, most focus on expense cuts or revenue optimization. But the fastest cash flow crisis we see isn't about profit and loss—it's about **working capital timing**.
You can be profitable (revenue > expenses) and still run out of cash because of **when** money flows in versus out.
Example: You're a B2B SaaS company with:
- Net 45 payment terms (cash comes in 45 days after invoice)
- Monthly payroll on the 15th and 30th
- Infrastructure costs charged on the 1st
Your revenue is growing, which is good. But growing revenue with 45-day payment terms means your working capital needs are growing too. In month 6, you might have $150K in accounts receivable that haven't cleared yet, but you still need to make payroll tomorrow.
This is where contingency planning becomes survival planning:
**Build a 13-week cash forecast that shows not just the P&L impact of scenarios, but the working capital impact.** Show when cash actually comes in, not when you invoice it. Show payment obligations on their due dates, not when they're recorded.
In this more realistic view, revenue growth might actually **reduce** your runway in the short term because of working capital drag. A contingency plan that addresses this might be:
- Negotiate payment terms more aggressively (30 days instead of 45 saves 15 days of working capital)
- Implement early payment discounts (2% off for payment within 10 days—costs you 2% but converts 45-day cash into 10-day cash)
- Build a customer payment reserve for large contracts (require 50% upfront)
- Secure a line of credit against accounts receivable (bridge the gap with borrowed cash)
This isn't theory. [The Cash Flow Timing Gap article](/blog/the-cash-flow-timing-gap-why-founders-miss-payment-deadlines/) covers this in depth, but the key insight for contingency planning is: **your biggest cash crisis might come when you're growing, not when you're struggling.**
## Building the Discipline of Regular Scenario Review
Here's what we recommend to our clients: Once you've built your base, stress, and panic scenarios, don't file them away.
**Review them monthly.**
Every month when you close actuals:
- Compare your real numbers against all three scenarios
- Ask: "Which scenario are we tracking toward?"
- If you're tracking worse than base case, move the triggers forward
- If something you identified as "might not happen" is now happening, activate your contingency response
This monthly discipline does two things:
1. **It keeps you honest about reality.** You can't ignore deviation for three months and suddenly course-correct. You catch problems in week 1, not week 12.
2. **It builds confidence.** When your team sees that you have a plan for downside scenarios and you're monitoring actively, anxiety drops. Everyone can focus on execution instead of worrying about whether the runway calculation is real.
## The Cash Flow Contingency Checklist
Use this as a starting point for your own contingency planning:
**Assessment Phase:**
- [ ] List all core assumptions in your cash flow forecast (explicit, not embedded)
- [ ] Identify your top 3 fragile assumptions (most likely to break)
- [ ] Run sensitivity analysis: What single-variable changes cost you a month of runway?
- [ ] Assess customer concentration: Do top 3 customers represent >40% of revenue?
- [ ] Map your working capital cycle: Days from pay-suppliers to collect-cash
**Scenario Planning Phase:**
- [ ] Build a stress-case scenario (realistic downside, moving fragile assumptions 20-30%)
- [ ] Build a panic-case scenario (multiple breaks simultaneously)
- [ ] Calculate runway for all three scenarios
- [ ] Identify the tipping point for each scenario (when runway drops below safety threshold)
**Contingency Response Phase:**
- [ ] Define triggers for each scenario (what leading indicators tell you it's happening?)
- [ ] Map specific responses: What expenses get cut? What hiring pauses? What gets accelerated?
- [ ] Quantify the impact: How much runway does each response buy?
- [ ] Identify what needs to happen in parallel (fundraising acceleration, partnership exploration)
**Execution Phase:**
- [ ] Share scenarios with your leadership team (you need alignment before crisis)
- [ ] Review scenarios monthly against actual performance
- [ ] Update annually or when business model changes materially
## The Real Value of Contingency Planning
In our experience, most founders get contingency planning wrong. They think it's about pessimism—about assuming failure and planning for disaster.
It's the opposite.
Contingency planning is about **optimism with realism.** It's saying: "I believe in this plan. And I'm confident enough that I can handle what happens if it doesn't work exactly as modeled."
When you have a stress-case scenario built out, you're not secretly preparing to fail. You're building the resilience that lets you take bigger risks in growth. You can hire more aggressively, invest more in marketing, or take a customer at lower CAC upfront because you know what runway you have if it doesn't work out.
The founders we work with who manage cash flow best aren't the ones with the biggest buffers. They're the ones with the clearest contingency plans.
## Next Steps: Make Contingency Planning Real
This framework works best when it's built into your actual financial operations—not as a separate exercise, but as part of your monthly financial close.
If you're running a startup that's past seed stage but not yet Series A, or if you're Series A and scaling, contingency planning becomes a core piece of CEO financial discipline. [The Fractional CFO Timeline article](/blog/the-fractional-cfo-timeline-why-most-founders-hire-too-late/) covers why many founders wait too long to get this structured, but the core insight is: you don't need a full-time CFO to implement this framework. You need someone who knows how to think about it.
If you're ready to build this kind of financial discipline into your operations, Inflection CFO offers a free financial audit that includes a contingency planning assessment. We'll review your current forecast, identify your fragile assumptions, and help you build stress scenarios that actually inform your decision-making.
[Schedule your free financial audit today](/contact/) and let's build cash flow resilience into your business.
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About Seth Girsky
Seth is the founder of Inflection CFO, providing fractional CFO services to growing companies. With experience at Deutsche Bank, Citigroup, and as a founder himself, he brings Wall Street rigor and founder empathy to every engagement.
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