SaaS Revenue Forecasting & Projection Calculator

Project 1 to 3 Year Annual Recurring Revenue (ARR) trajectories based on new logo MRR acquisition velocity, account expansion rates, and monthly revenue churn assumptions.

SaaS Revenue Forecasting & Projection Calculator
Year 1 Exit ARR
Year 2 Exit ARR
Year 3 Exit ARR
Total Cumulative Revenue Earned
⚠️ Illustrative only. Not financial advice. Please delete history timely, it may impact your browser performance.

History — SaaS Revenue Forecasting & Projection Calculator

# Time Starting MRR New MRR/mo Churn (%) Yr 1 Exit ARR Yr 3 Exit ARR Action

Why Use This SaaS Forecasting Calculator

Accurate revenue forecasting is critical for budgeting, headcount hiring, and capital planning. This calculator helps you:

  • 🔮 Model Multi-Year ARR Growth — project Year 1, Year 2, and Year 3 Exit ARR.
  • ⚖️ Test Expansion vs. Churn Sensitivity — evaluate how net negative churn accelerates long-term compounding.
  • 💵 Plan Hiring & Runway — calculate total cumulative revenue earned to align operational expenditure.
  • 📊 Investor Pitch & Financial Planning — present realistic multi-year SaaS financial models to stakeholders.

SaaS Revenue Projection Formula

\[\text{Month}_n \text{ MRR} = \text{Month}_{n-1} \text{ MRR} + \text{New MRR} + (\text{Month}_{n-1} \text{ MRR} \times \text{Expansion \%}) - (\text{Month}_{n-1} \text{ MRR} \times \text{Churn \%})\] \[\text{Exit ARR (Year } k\text{)} = \text{Month}_{12 \times k} \text{ MRR} \times 12\] \[\text{Cumulative Earned Revenue} = \sum_{m=1}^{12 \times k} \text{Month}_m \text{ MRR}\]

Sample 3-Year Forecast Output Matrix

Forecast Year Month Monthly MRR Exit ARR Cumulative Revenue
Start (Month 0) 0 $50,000 $600,000 $0
Year 1 Exit 12 $145,000 $1,740,000 $1,150,000
Year 2 Exit 24 $265,000 $3,180,000 $3,600,000
Year 3 Exit 36 $415,000 $4,980,000 $7,700,000

How to Use This SaaS Forecasting Calculator

  1. Enter Current Starting MRR ($).
  2. Enter New Logo MRR Added per Month ($).
  3. Enter expected Monthly Expansion Rate (%) and Monthly Churn Rate (%).
  4. Select Forecast Time Horizon (Years).
  5. Review Year 1, 2, 3 Exit ARR and Cumulative Revenue Earned.

Frequently Asked Questions

How does a SaaS revenue forecasting model work?

The model calculates monthly compounding MRR using the formula: Month_n MRR = Month_(n-1) MRR + New Logo MRR + (Month_(n-1) MRR × Expansion %) − (Month_(n-1) MRR × Churn %). Exit ARR is calculated as Month 12, 24, or 36 MRR × 12.

Why is net negative churn essential for long-term SaaS scale?

When monthly expansion rate % exceeds monthly churn rate %, existing cohorts grow over time, allowing new logo MRR to accelerate overall business compounding.

What is Exit ARR?

Exit ARR is the annualized recurring revenue run rate at the final month of a fiscal year (Month 12, 24, or 36).

How do changes in monthly churn impact 3-year ARR projections?

Even a 1% reduction in monthly churn can increase 3-year exit ARR by 30% to 50%+ due to compounding retention benefits.

What assumptions should early-stage SaaS companies use for new logo MRR growth?

Early-stage founders should model conservative linear new logo additions unless backed by historical customer acquisition channel data.

Should one-off setup fees be included in MRR projections?

No. Professional service setup fees are non-recurring and must be tracked separately from subscription MRR forecasts.

How often should financial models update their revenue forecasts?

Most SaaS companies re-forecast quarterly to adjust for actual new logo sales velocity and empirical churn trends.