ARR, MRR, and Recurring Revenue Metrics

Introduction

Annual Recurring Revenue and Monthly Recurring Revenue are the foundational metrics for analyzing any SaaS business. While GAAP revenue tells you what a company earned in a reporting period, ARR and MRR tell you the current run-rate of the business and, critically, how that run-rate is changing. For TMT investment bankers, ARR is the starting point for every SaaS valuation, every LBO model, and every revenue projection. It is not an optional metric; it is the metric that defines how SaaS companies are measured, compared, and priced.

ARR is the annualized value of all active subscription contracts at a point in time. It captures only recurring, contractually-committed revenue and excludes one-time fees (implementation, onboarding), professional services revenue, and any non-recurring items. If a SaaS company has 500 enterprise customers paying an average of $60,000 per year, its ARR is $30 million.

Annual Recurring Revenue (ARR)

The sum of the annualized value of all active subscription contracts, excluding one-time and non-recurring revenue. ARR = total number of subscribers multiplied by average annual subscription price. For contracts billed monthly, annualize by multiplying the monthly amount by 12. For multi-year contracts, use the annual contract value (ACV), not the total contract value (TCV). ARR is a point-in-time snapshot, not a period metric: it measures the revenue the company would generate over the next 12 months if no customers were added, lost, or changed.

MRR is the monthly equivalent: the total recurring revenue the company generates in a given month. The simplest calculation is MRR = ARR / 12, though companies that bill monthly may calculate MRR directly from their billing data. MRR is more useful for tracking month-to-month trends, while ARR is the standard for valuation, benchmarking, and external reporting.

The relationship is straightforward: ARR = MRR x 12. But the components of MRR movement reveal far more about the business than the headline number.

The power of recurring revenue metrics comes from decomposing them into the underlying drivers. Each month, MRR changes based on four components:

Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR. In the example above: $100,000 + $75,000 - $20,000 - $40,000 = $115,000 net new MRR. This is the single most important monthly operating metric for a SaaS company, because it shows whether the recurring revenue base is growing or shrinking, and where the growth (or decline) is coming from.

For TMT bankers building a SaaS revenue model, projecting each MRR component separately produces much more accurate forecasts than projecting aggregate ARR growth. You can model new customer acquisition rates, expansion rates within the existing base, and churn rates independently, each driven by different assumptions and operational levers. This granular approach is how PE firms underwrite SaaS investments, and it is what separates a strong TMT analyst's revenue build from a simplistic growth rate assumption.

ARR is not a GAAP metric. It is defined by the software industry, not by accounting standards. Yet it is the primary metric investors and acquirers use to value SaaS companies. Understanding why requires understanding what GAAP revenue misses.

GAAP revenue also includes non-recurring items (professional services, implementation fees, one-time licensing revenue) that do not recur and should not be valued at the same multiple as subscription revenue. A SaaS company with $100 million in GAAP revenue might have only $80 million in ARR if $20 million comes from professional services and other non-recurring sources. The company should be valued on its $80 million ARR base, not its $100 million GAAP revenue, because only the ARR represents the high-quality, recurring revenue stream.

When building a comparable company analysis for SaaS companies, the standard approach is to use EV/ARR (or EV/NTM Revenue based on ARR growth projections) rather than EV/GAAP Revenue. In 2025, median private SaaS companies traded at approximately 6x ARR, with the range spanning from 3x for slower-growth businesses to 10x or higher for companies growing above 40% with strong retention metrics. Public SaaS companies at scale show a similar range, with the highest multiples reserved for companies that combine rapid growth with improving profitability.

A critical analytical skill for TMT bankers is assessing the quality of a company's ARR, because the headline number can mask significant differences in revenue durability and growth potential.

Contract duration matters. ARR composed primarily of multi-year contracts (3-5 year terms common in enterprise SaaS) is more durable than ARR from month-to-month subscriptions that customers can cancel at any time. Longer contracts provide greater revenue visibility and reduce churn risk, which supports higher valuation multiples.

Customer concentration affects risk. A SaaS company with $50 million in ARR spread across 2,000 customers is more resilient than one with the same ARR concentrated in 20 large enterprise accounts. Losing a single customer in the concentrated scenario could represent a 5% revenue hit, while the diversified company faces minimal impact from any single churn event.

Revenue mix impacts valuation. Subscription revenue is valued at a premium to usage-based revenue (less predictable) and services revenue (lower margin, labor-intensive). When analyzing a SaaS company's ARR, break it down by revenue type: pure subscription ARR, usage-based ARR, and non-recurring revenue. Apply different multiples to each component for a more accurate valuation.

ARR does not exist in isolation. It connects to every other SaaS metric covered in this section of the guide. Net revenue retention measures how ARR from existing customers changes over time (a 120% NRR means the existing customer base generates 20% more ARR each year without acquiring a single new customer). CAC and LTV measure the cost of adding new ARR and the lifetime value it generates. The Rule of 40 evaluates whether the company is balancing ARR growth with profitability. Cohort analysis reveals how ARR retention changes over the life of a customer.

These metrics form an integrated framework that TMT bankers use to evaluate SaaS businesses. ARR is the foundation; the metrics above tell you how sustainable, efficient, and valuable that ARR is. Mastering this framework is what separates a TMT analyst who can model SaaS businesses from one who simply applies a multiple to a top-line number.