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Freedom251 › Blog › AI economics

Why ARR Can Be Misleading for AI Products—and Which Metrics to Track Alongside It

By Freedom251 Team · · 8 min read

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Annual recurring revenue (ARR) is a useful snapshot of contracted recurring value, but it is not recognized revenue, a renewal forecast, or a measure of the cost to deliver an AI feature. The number is only meaningful alongside its definition, measurement date, retention by cohort, recognized revenue, gross margin, and usage-based delivery costs.

What ARR actually measures

ARR usually annualizes the recurring value of contracts considered active on a specified date. A simple version is ARR = current recurring run rate × 12. The difficult part is deciding what counts as current, recurring and active. Companies can reach different answers while using the same label.

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SailPoint states that ARR has no standardized meaning and may not be comparable with similarly titled measures at other companies. Its definition includes certain contracts in active renewal negotiations until the customer says it will not renew. PTC uses a rule tied to contract start and end dates and excludes future committed increases until those increases become active. Those are not minor presentation choices: they change the numerator.

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Questions to ask about an ARR figure

  • What is the measurement date, and is the figure a point-in-time balance or an average?
  • Which contracts are treated as active?
  • Are contracts being renegotiated or approaching renewal still included?
  • How are monthly subscriptions, usage charges, minimum commitments and implementation fees treated?
  • Are future price increases or expansions excluded until their effective date?
  • Were acquisitions, divestitures or foreign-exchange movements included?

A credible dashboard displays these rules next to the headline number. Without them, ARR is not a clean basis for comparing two companies or even two periods for the same company.

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Why annualizing a subscription can overstate durability

Annualization turns a current run rate into a 12-month equivalent; it does not create a 12-month commitment. Freshworks describes its monthly-subscription calculation as the last month’s recurring run rate multiplied by 12, while warning that the result may not equal revenue received during the next year because monthly customers may not renew.

Contract mix therefore matters. Freshworks reported that monthly subscriptions represented 13% of ARR at December 31, 2025. That percentage does not prove that the company’s ARR is overstated, but it identifies a portion of the base with a shorter contractual horizon than annual or multiyear commitments.

An illustrative example

Assume a product has $900,000 of monthly recurring subscriptions at the end of June. Annualization produces $10.8 million of ARR. If 20% of those customers cancel before the following June, the run-rate snapshot did not become $10.8 million of earned revenue; it was a conditional estimate of recurring value at one date. The arithmetic is valid, but the interpretation must include renewal exposure.

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ARR is not recognized revenue

Recognized revenue follows the company’s applicable accounting policies and the period in which performance obligations are satisfied. ARR is an operating metric based on contract or run-rate assumptions. SailPoint says ARR is not a replacement for revenue or a forecast. Yext similarly states that ARR is independent of historical revenue, unearned revenue, remaining performance obligations and other GAAP measures, and should be considered alongside them. PTC also directs readers to evaluate ARR with its GAAP financial results.

A business can have rising ARR while recognized revenue grows more slowly because contracts start late in the period, are billed upfront, contain ramp schedules or include services recognized over time. The reverse can also occur: revenue may include usage, professional services or nonrecurring items that do not belong in ARR.

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Keep the two views separate

Measure What it answers What it does not answer
ARR What recurring contract value is active under the company’s stated rules on a date? How much revenue was earned, collected or profitable during a period
Recognized revenue What amount was recorded under the applicable accounting framework for the period? What the current contract base would be worth if it renewed and stayed constant
Remaining performance obligations What contracted obligations remain to be recognized under the accounting rules? A standardized estimate of future recurring run rate

Retention shows what is happening inside the customer base

ARR movement becomes more informative when decomposed by a fixed starting cohort. Net retention follows that cohort through expansion, contraction and churn. Gross retention removes expansion, leaving the effects of cancellations and downgrades visible.

Core formulas

For a cohort with $10 million of starting recurring revenue:

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  • Gross retention = (starting revenue − churn − contraction) ÷ starting revenue.
  • Net retention = (starting revenue − churn − contraction + expansion) ÷ starting revenue.

Suppose churn is $1 million, contraction is $500,000 and expansion is $2 million. Gross retention is 85%; net retention is 105%. Net retention above 100% can coexist with substantial losses among smaller or less successful customers because expansion elsewhere masks them. Reading both measures together prevents that masking.

Define the cohort before publishing the rate

  • State the starting and ending dates and whether the window is trailing 12 months, quarterly or another period.
  • Explain whether the cohort contains all customers, only customers above a revenue threshold, or only subscription customers.
  • Describe how acquisitions, divestitures, migrations and product consolidations are handled.
  • Use consistent currency treatment and disclose whether foreign-exchange effects are constant-currency or reported-currency.

Freshworks reported net dollar retention of 108% in 2025, 103% in 2024 and 108% in 2023. The filing attributes the 2025 increase primarily to favorable foreign-currency impact and improved churn. These are company-specific historical figures, not targets for every AI business.

AI can make growth more expensive to deliver

Traditional software can add a customer with relatively low incremental serving cost. AI features may invoke model inference, retrieval, storage, data transfer and monitoring on every task. Freshworks warns that developing, testing and deploying AI systems may increase the cost profile because of the computing costs involved. SailPoint identifies third-party cloud hosting as a subscription cost and explains that hosting and software costs affect gross margin.

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Consequently, ARR growth can look healthy while the gross profit generated by each dollar of ARR falls. A company that prices an AI capability as a flat subscription but experiences heavy usage may carry more inference cost than its contract value suggests.

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Gross margin is the financial check

Gross margin is revenue minus cost of revenue, divided by revenue. For an AI product, inspect which inference, hosting and data-processing costs are included in cost of revenue and which remain in research, development or operating expenses. Allocation methods can change the apparent margin even when the underlying compute bill is unchanged.

Track margin by product, customer segment or usage tier when the accounting system permits. This level of detail is an operating recommendation, not a universal reporting requirement. It can reveal that enterprise accounts are profitable while high-volume self-serve accounts are not, or that one model feature consumes disproportionate resources.

The companion scorecard for an AI product

Metric Purpose Required definition or context
ARR Point-in-time recurring contract value Active-contract rule, measurement date, plan and usage treatment
Recognized revenue Accounting-period performance Accounting policy, timing and mix of recurring, usage and services revenue
Gross retention Churn and contraction in the starting cohort Cohort construction, window, currency and acquisition treatment
Net retention Expansion as well as losses in that cohort Expansion rules and the same cohort disclosures used for gross retention
Gross margin Profitability after delivering the product Inference, hosting and other cost-of-revenue allocation
Usage and unit economics Cost and value of delivered work A stated denominator, such as task, token, workflow or customer segment, with period and scope
Cash and financial results Funding and operating sustainability Cash flow, expenses and liquidity alongside operating metrics

No single usage denominator fits every AI product. A support assistant may use resolved case, while a document system may use processed document or active seat. Choose a denominator that reflects both customer value and the costs incurred, then keep it stable enough to show trends.

How to build a reliable ARR and AI-economics dashboard

  1. Write the metric policy. Define recurring items, active contracts, renewal status, monthly plans, usage charges, discounts, expansions and exclusions in plain language.
  2. Freeze the measurement date. Record the exact cutoff and distinguish point-in-time ARR from period averages.
  3. Reconcile to source systems. Tie contract records to billing, cancellations and general-ledger revenue. Investigate unexplained differences rather than forcing a reconciliation.
  4. Create a cohort table. Assign each customer to a starting cohort and show beginning value, churn, contraction, expansion and ending value.
  5. Separate gross and net retention. Never let expansion hide cancellation trends; display both rates and the underlying dollar movements.
  6. Attach delivery costs. Map model calls, compute, storage, hosting and support to products or usage segments where feasible.
  7. Review data quality. Log changes to instrumentation, billing logic, currency conversion and cohort membership so a metric change is not mistaken for customer behavior.
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Comparing companies or periods without false precision

Before comparing ARR, align the dimensions below. If any material definition differs, describe the result as directional rather than directly comparable.

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Comparison axis What must match
ARR construction Active-contract rules, renewal treatment and included revenue types
Timing Measurement date and reporting window
Customer base Cohort definition, contract length and monthly-versus-annual mix
Retention Gross versus net rate, acquisition treatment and currency convention
Accounting Recognized-revenue and cost-of-revenue policies
AI economics Usage mix, compute and hosting allocation, and the gross-margin denominator

For example, SailPoint reported ARR of $1,230.7 million on July 31, 2026, versus $982.0 million on July 31, 2025. It also reported SaaS ARR as 69% of ARR on July 31, 2026, compared with 63% a year earlier. Those figures describe SailPoint’s definitions and mix; they are not recognized-revenue totals, industry benchmarks or evidence that another company’s ARR is measured the same way.

Common dashboard mistakes and corrections

Calling ARR “revenue”

Problem: A board slide labels the ARR total as quarterly revenue.

Correction: Display ARR and recognized revenue in separate tiles with separate dates and accounting labels.

Using net retention alone

Problem: Expansion from a few large accounts offsets widespread downgrades.

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Correction: Add gross retention, churned-customer count, contraction dollars and cohort-size distribution.

Ignoring monthly-plan exposure

Problem: A run-rate increase is treated as contracted annual growth.

Correction: Split ARR by monthly, annual and multiyear commitments and show renewal outcomes.

Hiding compute in a blended margin

Problem: A profitable legacy module offsets an AI feature’s serving losses.

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Correction: Attribute material inference and hosting costs to the relevant product or usage segment, then report the allocation method.

Changing definitions without a bridge

Problem: A new billing or telemetry system creates an artificial jump.

Correction: Restate prior periods when practical or publish a bridge that separates methodology from genuine customer movement.

What the evidence does—and does not—support

ARR is neither inherently deceptive nor sufficient on its own. Its usefulness depends on explicit boundaries and disciplined reconciliation. Company filings also warn that customer and usage metrics can rely on imperfect systems and methods that change over time. A precise-looking percentage is not automatically a precise measurement.

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The available filings establish that AI computing and cloud hosting can affect costs, but they do not establish a universal AI gross-margin benchmark, retention target or ideal usage denominator. Set internal thresholds from your own pricing, workload and customer behavior, and publish the definitions needed for readers to interpret changes.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

AI economicsARRgross margingross retentionnet retentionSaaS metricsunit economics

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