Gross Retention excludes expansion - it shows pure churn / contraction loss. The gap between NRR and GRR is the expansion lift.
Peak NRR of 136% in FY2020-Q1. Latest is 117% - that's -19pp from peak.
JFrog is below the Dev Tools Public median by -0.5pp (cell median: 117%)
JFrog (FROG) is a dev tools company at the public stage. As of its most recent disclosure (FY-2026), JFrog reported a Net Revenue Retention rate of 117% - a strong result for B2B SaaS at this segment.
JFrog's NRR peaked at 136% in FY2020-Q1, 19pp above today's level. Over the past three years, the metric has contracted by 19pp. The most recent quarter lost 2pp QoQ.
Within its peer set (dev tools companies at public stage in the $25k-$100k acv band), JFrog's NRR is roughly in line with the cell median of 117%. Compare against the full peer cell aggregate for distribution and top performers.
Contract shape and forward-booked revenue.
Revenue, ARR, and team-size denominators for the productivity ratios.
CS team segments: Strategic · Enterprise
Education programs: swampUP
Computed from the data above. Shows where value comes from and where leakage hides.
Named CS initiatives across recent disclosures (newest first).
DevGovOps solution launched in partnership with ServiceNow to manage automated governance.
"With the new JFrog Uptrust product, companies will now have an automated way across platforms to manage governance"
World's first agentic repository reimagining software supply chain management for AI agents.
"Finally, we introduced JFrog Fly, the world's first agentic repository"
Launch of Model Context Protocol server to enable agentic interaction with AI technologies
"marked by the launch of the JFrog MCP server in mid-July during the AWS Summit in New York"
JFrog announced as cornerstone software artifact repository and secure model registry for NVIDIA
"JFrog was announced as the cornerstone software artifact repository and secure model registry for NVIDIA"
Unified DevOps, DevSecOps, and MLOps in a single solution, giving cloud enterprise customers access to JFrog ML.
"In Q1, we were proud to announce that all cloud enterprise customers now have access to JFrog ML"
Integration between GitHub (source code) and JFrog (binaries) to provide a single platform experience.
"The powerful partnership between GitHub and JFrog unifies processes across our best-of-breed platforms."
Challenges acknowledged by management. Useful peer signals - your team is probably not alone.
Ongoing macroeconomic volatility and geopolitical uncertainty affecting forward outlook.
"encouraged by our strong year-to-date performance amid geopolitical uncertainty and ongoing macroeconomic volatility"
Customers taking more time to analyze AI workloads before committing fully to public cloud.
"they need more certainty before they double down on the cloud and go there with the entire AI workload"
Unpredictable costs of running AI at scale forcing a shift in infrastructure strategy
"The unpredictable cost of running AI at scale is forcing a shift from cloud first to fit for purpose"
Threat actors looking to exploit evolving Model Context Protocol standards
"security research team recently uncovered and published significant exploitation risks tied to MCP usage"
Rigid purchasing environment and budget constraints leading to longer sales cycles and delayed commitments.
"purchasing and budget constraints across our portfolio persisted, resulting in longer sales cycles"
Curated quotes about customer outcomes, retention, renewals.
"We continue to demonstrate that our customers view JFrog solutions as mission-critical to their software supply chain"
"Our strategy remains focused on converting customers with usage above minimum commitments into higher annual contracts."
"The narrative of consolidating security around the platform and not point solution is catching up really, really fast."
"Our go-to-market teams are executing on a clear strategy of guiding cloud customers with usage overages toward higher annual commitments."
Side-by-side NRR, customer cohorts, commercial structure, and CS motion.
JFrog appears on 3 of our retention leaderboards.
Free to embed on your blog or board deck. Includes a small backlink to cust.co.
Or grab the data: JSON API →
| Period | NRR | GRR | Source type | Filing |
|---|---|---|---|---|
| FY-2026 | 117% | - | earnings-call-transcript | source ↗ |
| FY-2025 | 119% | - | def-14a | source ↗ |
| FY2025-Q4 | 119% | - | 10-K | source ↗ |
| FY2025-Q3 | 118% | - | 10-Q-mdna | source ↗ |
| FY2025-Q2 | 118% | - | 10-Q-mdna | source ↗ |
| FY2025-Q1 | 116% | - | 10-Q-mdna | source ↗ |
| FY-2024 | 116% | - | 10-K | source ↗ |
| FY2024-Q4 | 116% | - | earnings-call-transcript | source ↗ |
| FY2024-Q3 | 117% | 97% | earnings-call-transcript | source ↗ |
| FY2023-Q2 | 120% | - | 10-Q-mdna | source ↗ |
| FY2021-Q4 | 131% | - | 10-Q-mdna | source ↗ |
| FY2020-Q2 | 133% | - | 10-K | source ↗ |
| FY2020-Q1 | 136% | - | 10-Q-mdna | source ↗ |
Generate a live retention report against JFrog and your full peer cell. Ungated. Downloadable as PDF.