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 above the Dev Tools Public median by +2pp (cell median: 115%)
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 3pp 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 115%. 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.
Support tiers: Enterprise+ · Enterprise X
CS team segments: Enterprise · Mid-Market · SMB
CSM model: account-named
Education programs: Swamp UP
Computed from the data above. Shows where value comes from and where leakage hides.
Named CS initiatives across recent disclosures (newest first).
Application risk governance to help address the growing demands of emerging DevGovOps requirements.
"In 2025, we released... JFrog AppTrust for DevGovOps and compliance."
Extension of JFrog Curation specifically designed for AI/ML models and technology curation.
"We released significant enhancements to our platform, including the release of agentic security capabilities, AI Catalog"
First enterprise-grade registry for MCP servers to support the growing AI ecosystem.
"We introduced the JFrog MCP Registry, the first enterprise-grade registry for MCP servers"
Centralized way to manage and govern reusable AI capabilities in collaboration with NVIDIA.
"In Q1, we expanded our platform for AI-driven development with the introduction of the JFrog Agent Skills Registry"
Model discovery and governance, extending the platform to manage AI and ML models like other software packages.
"We introduced the JFrog AI Catalog for model discovery and governance"
Core integration layer enabling AI agents and LLMs to securely interact with the JFrog platform.
"We released JFrog's MCP server as a core integration layer, enabling AI agents and LLMs to securely interact"
Launched the first implementation of JFrog ML available now to cloud customers following Qwak AI acquisition.
"In recent weeks, we launched the first implementation of JFrog ML available now to our cloud customers."
Signed a Strategic Collaboration Agreement with AWS to enable joint enterprise customers to scale DevSecOps.
"we have recently signed a Strategic Collaboration Agreement with AWS"
Challenges acknowledged by management. Useful peer signals - your team is probably not alone.
Enhanced budget scrutiny and cloud optimization efforts leading to longer sales cycles.
"We have experienced longer sales cycles for certain products and enhanced budget scrutiny by our customers"
Customers are seeing budget overruns due to AI-fueled binary growth before increasing annual commitments.
"organizations willing to accept budget overruns until they gain better clarity on long-term usage requirements"
Consolidation of approximately 300 lower ASP subsidiaries into parent entities to reduce sales friction.
"resulted in the consolidation of approximately 300 lower ASP subsidiaries into their parent entity"
Churn driven by regulatory decisions in regions like China and Russia.
"this includes the geographic regulations, like, churn in China, Russia, and other regulatory decisions"
Customers remaining cost-conscious and not spending above minimum commits.
"They are not spending above those minimum commits... we're not seeing usage above the minimum commit."
Strategic decision to part ways with a subset of low-subscription customers to focus on enterprise.
"involved making difficult decisions such as parting ways with a subset of low-subscription customers"
Curated quotes about customer outcomes, retention, renewals.
"We continue to demonstrate that our customers view JFrog solutions as mission-critical... with gross retention that equaled 97%."
"Our go-to-market teams are executing on a clear strategy of guiding cloud customers with usage overages toward higher annual commitments"
"Our fiscal year 2025 four trailing quarter Net Dollar Retention ("NDR") grew to 119%, up three points year over year"
"We continue to demonstrate that our customers view JFrog solutions as mission- critical to their software supply chain, with gross retention that equaled 97%."
"Our strategy remains focused on converting customers with usage above minimum commitments into higher annual contracts."
"This shift demands a comprehensive transformation... it calls for an adjusted customer success approach."
Side-by-side NRR, customer cohorts, commercial structure, and CS motion.
JFrog appears on 2 of our retention leaderboards.
Free to embed on your blog or board deck. Includes a small backlink to cust.co.
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| Period | NRR | GRR | Source type | Filing |
|---|---|---|---|---|
| FY-2026 | 117% | - | earnings-call-transcript | source ↗ |
| FY2026-Q1 | 120% | 97% | 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.