Net Revenue Retention Benchmarks 2026
Median SaaS NRR compressed from 117% in 2021 to 101% in 2026. Here is where you should be now - by ACV band, company size, and stage.
NRR Percentile Lookup - Where Do You Stand?
Your NRR
105%
Standing
Above medianSegment median
97%
NRR by ACV Band
| ACV Band | Median NRR | Top Quartile NRR | Median GRR | Note |
|---|---|---|---|---|
| Enterprise (>$100K ACV) | 118% | 130%+ | 94% | Strong upsell motion critical |
| Mid-Market ($25K-$100K ACV) | 108% | 120% | 88% | Expansion playbook needed |
| SMB ($5K-$25K ACV) | 97% | 110% | 85% | Gross churn headwind |
| Low ACV (<$5K ACV) | 90% | 100% | 80% | Volume model, thin margins on retention |
Sources: Bessemer Venture Partners State of the Cloud 2026, SaaS Capital Index, Benchmarkit 2026.
NRR by Company Size (ARR)
$100M+ ARR
115%
Top quartile: 125%+
$10M-$100M ARR
108%
Top quartile: 118%
$1M-$10M ARR
98%
Top quartile: 110%
<$1M ARR
90%
Top quartile: 100%
NRR Trend 2021-2026: The Compression Story
| Year | Median NRR | Top Quartile NRR |
|---|---|---|
| 2021 | 117% | 130% |
| 2022 | 113% | 126% |
| 2023 | 108% | 120% |
| 2024 | 104% | 116% |
| 2025 | 102% | 113% |
| 2026 (current) | 101% | 111% |
Why NRR Compressed Post-2022
Seat reductions
Mass layoffs in tech (2022-2023) reduced seat counts directly. Companies with seat-based pricing saw immediate NRR compression as customers downsized their active licenses.
Budget scrutiny and vendor rationalization
CFOs mandated SaaS spend reviews. Expansion investments that would have been approved in 2021 are now challenged. Buyers are consolidating to fewer, stickier tools rather than expanding to more.
PLG saturation at lower ACVs
Product-led growth models created a ceiling effect: users free-tier forever or expand to a capped plan. The natural expansion curve flattened as PLG matured in the market.
Usage-based pricing normalization
While usage-based pricing unlocks expansion, it also creates volatility when customers reduce usage. Companies that shifted to pure usage models saw NRR compress when customers optimized usage.