What Is a Good Net Revenue Retention? (2026 Benchmarks)

A good net revenue retention (NRR) in 2026 is 105% or higher; top-quartile B2B SaaS companies clear 120%. The median sits around 100–110%, so if you're below roughly 95%, your existing customer base is shrinking faster than it expands — and every point of growth has to be bought with new logos.

That's the headline. But "good" depends heavily on your stage, your motion, and whether your NRR is propped up by a handful of whale expansions while gross retention quietly rots underneath. This guide gives you the benchmark bands, the NRR-vs-GRR distinction that investors actually care about, a worked example you can copy, and the levers that move the number. You can also skip straight to the NRR calculator and see where you land against the bands.

What NRR actually measures

Net revenue retention answers one question: if you never signed another customer, what would happen to your revenue over the next twelve months? Take the recurring revenue from a cohort of customers at the start of a period, then measure what that same cohort pays at the end — expansions included, downgrades and churn subtracted, new logos excluded.

The formula:

NRR = (Start MRR + Expansion − Contraction − Churn) / Start MRR

Above 100% means your installed base compounds on its own. Below 100% means it decays, and your sales team is on a treadmill: they have to replace lost revenue before a single dollar counts as growth. That's why NRR is the first metric most Series A and B investors ask about — it's the closest thing SaaS has to a single number for product-market fit after the sale.

NRR vs GRR: read them together or get fooled

NRR has a well-known blind spot: expansion can mask churn. A company losing 15% of its base annually but expanding a few big accounts by 25% posts a respectable-looking NRR while its customer relationships are actually deteriorating.

Gross revenue retention (GRR) removes the mask. It uses the same cohort logic but excludes expansion entirely:

GRR = (Start MRR − Contraction − Churn) / Start MRR

GRR is capped at 100% by definition — it can only measure what you keep. Good B2B SaaS GRR runs around 85–90%, and enterprise leaders reach 90%+. Think of GRR as your retention floor and NRR as your expansion ceiling:

• High NRR + high GRR — the real thing. Customers stay and they grow. Fund the expansion motion harder.
• High NRR + low GRR — a leaky bucket with a firehose of expansion pointed at it. Concentration risk: lose two of those expanding whales and the whole story collapses.
• Low NRR + high GRR — customers are happy but you've given them nothing to buy. Usually a pricing and packaging problem, not a product problem. Often the cheapest fix on this list.
• Low NRR + low GRR — a retention fire. Stop optimizing expansion and fix churn first.

Run both numbers side by side — the GRR calculator uses the same inputs minus expansion, so it takes thirty seconds.

How stage changes the answer

Comparing your seed-stage, SMB self-serve NRR against a Series C enterprise benchmark is how founders talk themselves into panic (or complacency). Earlier-stage companies skew toward smaller customers, monthly contracts, and thinner expansion paths — all of which pull NRR down. Later-stage companies have seat-based enterprise deals, multi-year contracts, and dedicated expansion teams pushing it up.

Here's how the medians shift by stage:

Stage	Median NRR	Median GRR
Bootstrapped	~100%	~84%
Seed	~100%	~83%
Series A	~106%	~87%
Series B+	~112%	~90%

Directional 2026 medians, synthesized from public benchmark reports (SaaS Capital, Benchmarkit/KeyBanc, Bessemer, OpenView). Individual sources vary by several points depending on sample and segment — treat these as orientation, not gospel.

Overlay the verdict bands on top of the stage medians and you get a usable answer to "is my NRR good":

• 120%+ — top quartile at any stage. Expansion is a genuine engine.
• 105–119% — healthy. The base compounds; growth capital goes further.
• 95–104% — around median. Fine at seed, a yellow flag at Series B.
• Below 95% — below median. Your base is decaying; diagnose GRR before anything else.

One more adjustment: motion matters as much as stage. Enterprise seat-based products should sit at the top of these ranges. SMB and prosumer tools can run 90–100% NRR and still be excellent businesses if acquisition is cheap. The full stage-by-stage picture for every metric lives on the benchmarks page.

A worked example

Say you start January with $200,000 MRR from your existing customers. Over the next twelve months, within that same cohort:

• Expansion (upgrades, added seats, usage growth): +$26,000
• Contraction (downgrades, seat reductions): −$8,000
• Churned revenue (cancelled customers): −$14,000

Plug it in:

NRR = (200,000 + 26,000 − 8,000 − 14,000) / 200,000 = 204,000 / 200,000 = 102%

102% reads "around median" — not alarming. But run GRR on the same numbers:

GRR = (200,000 − 8,000 − 14,000) / 200,000 = 178,000 / 200,000 = 89%

An 89% GRR is actually healthy. So this company doesn't have a churn problem — it has an expansion problem. $26,000 of expansion on a $200,000 base is 13% gross expansion, which is thin. The fix isn't a customer success fire drill; it's pricing and packaging that give happy customers a reason to pay more. That diagnosis is invisible if you only look at NRR — which is exactly why you compute both.

Levers that actually move NRR

NRR is arithmetic: more expansion, less contraction, less churn. Each term has different levers.

1. Price on a value metric that grows

Flat-fee pricing caps NRR at your GRR. Seats, usage, records, API calls — pick the metric that scales with the customer's success, and expansion happens without a sales conversation. This is the single highest-leverage change for the "high GRR, low NRR" quadrant.

2. Give customer success an expansion number

CS teams measured only on churn produce exactly that: low churn and zero expansion. Companies clearing 115%+ almost always have someone comped on net expansion, with a defined playbook for upgrade triggers (usage thresholds, seat caps, feature requests).

3. Intercept contraction at the renewal, not after

Downgrades are usually silent until the renewal date. Instrument usage decline 60–90 days before renewal and intervene early. A customer sliding from 40 seats to 25 will often hold at 35 if someone shows up with a plan — but takes the full cut if the first conversation is the renewal invoice.

4. Fix churn at onboarding, not at cancellation

Most churn is decided in the first 30–60 days and merely executed at renewal. Time-to-first-value is the strongest single predictor. If revenue churn is the dominant leak in your formula, quantify it properly with the churn rate calculator — including converting monthly to annual correctly, which most people get wrong.

5. Shift contract structure

Annual prepaid contracts don't reduce the customer's desire to leave, but they batch the decision into one moment per year that you can prepare for — and they eliminate the passive monthly drift that quietly bleeds SMB-heavy books.

Common mistakes when measuring NRR

• Including new customers in the numerator. NRR is cohort math. If new logos leak in, you've computed growth rate, not retention, and the number is meaningless against any benchmark.
• Annualizing monthly NRR by multiplying. A 100.5% monthly NRR is not 106% annual — it compounds: 1.005^12 ≈ 106.2%. Close in this case, but at higher monthly figures the gap gets large, and mixing monthly and annual windows across board decks is how you get called out in diligence.
• Cherry-picking the cohort. Excluding "non-ICP customers," pilots, or that one big logo that churned produces a number for your own morale, not for decision-making. Compute the honest version; annotate the exceptions separately.
• Benchmarking against the wrong segment. A PLG tool selling $30/month subscriptions should not measure itself against enterprise NRR medians. Match stage and motion before deciding whether your number is a problem.
• Treating NRR as a strategy instead of an output. "Get NRR to 120%" is not a plan. Decompose it: which term of the formula is weakest, and which lever above addresses that term?
• Ignoring the denominator effects of messy MRR. If your MRR itself is inconsistently calculated — mixed billing terms, one-time fees counted as recurring — every retention metric built on it inherits the noise. Clean that up first with the MRR & ARR calculator.

Run your own number

The answer to "is my NRR good" takes about a minute to get: pull your start-of-period MRR, expansion, contraction, and churned revenue for the same cohort, and drop them into the net revenue retention calculator. It computes the number and shows you immediately which benchmark band you fall into — top quartile, healthy, median, or below. Run GRR alongside it, and you'll know not just whether the number is good, but which lever to pull next.