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FROG Q1 Earnings Call: Cloud Usage, Security Platform, and AI Drive Outlook

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Software development tools maker JFrog (NASDAQ:FROG) announced better-than-expected revenue in Q1 CY2025, with sales up 22% year on year to $122.4 million. Guidance for next quarter’s revenue was better than expected at $122.5 million at the midpoint, 1.2% above analysts’ estimates. Its non-GAAP profit of $0.20 per share was 21.5% above analysts’ consensus estimates.

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JFrog (FROG) Q1 CY2025 Highlights:

  • Revenue: $122.4 million vs analyst estimates of $117.3 million (22% year-on-year growth, 4.4% beat)
  • Adjusted EPS: $0.20 vs analyst estimates of $0.16 (21.5% beat)
  • Adjusted Operating Income: $21.35 million vs analyst estimates of $17.08 million (17.4% margin, 25% beat)
  • The company slightly lifted its revenue guidance for the full year to $502.5 million at the midpoint from $501 million
  • Adjusted EPS guidance for the full year is $0.69 at the midpoint, beating analyst estimates by 2.1%
  • Operating Margin: -18.8%, down from -16.6% in the same quarter last year
  • Customers: 1,051 customers paying more than $100,000 annually
  • Net Revenue Retention Rate: 116%, in line with the previous quarter
  • Market Capitalization: $4.86 billion

StockStory’s Take

JFrog’s first quarter results were shaped by broad-based momentum in cloud adoption and expanding platform usage among large enterprise customers. CEO Shlomi Ben Haim highlighted the company’s role as a “system of record for software delivery” and pointed to 42% year-over-year cloud revenue growth as evidence of rising developer activity and increased customer consumption beyond contractual commitments. The quarter also saw continued migration from on-premises to cloud, and greater adoption of the Enterprise Plus subscription, with over 1,050 customers now paying more than $100,000 annually. Management noted that consolidation of security tools and deeper integration with industry partners, such as GitHub, played a meaningful role in driving platform stickiness and customer retention.

Looking forward, JFrog’s leadership attributed its improved revenue outlook to anticipated growth from its security offerings, further expansion of its cloud platform, and the recent launch of JFrog ML for machine learning model management. CFO Ed Grabscheid emphasized that guidance remains conservative due to macroeconomic uncertainty, stating, “We did not carry forward the full benefit of that over-performance into the full year” and have de-risked the outlook by excluding larger, more complex deals. CEO Shlomi Ben Haim added that while early adoption of MLOps (machine learning operations) is progressing, most monetization upside from new AI capabilities is expected to materialize gradually as enterprises solidify governance and budget processes for AI initiatives.

Key Insights from Management’s Remarks

Management credited quarterly performance to accelerated cloud adoption, expanded enterprise deals, security product integration, and early traction from machine learning platform updates.

  • Cloud consumption exceeded commitments: Cloud customers used more JFrog services than their contracted minimums, with growth spread broadly across industries and regions. CFO Ed Grabscheid called this a "strong quarter" for cloud usage, but emphasized that the company remains cautious about assuming this trend will persist given ongoing purchasing constraints and longer sales cycles.
  • Enterprise Plus adoption rising: Enterprise Plus, the company’s top subscription tier, now comprises 55% of revenues, up from 49% a year ago. Management attributed this to both new customer wins—including a major AI technology company—and successful expansion among existing clients, driven by demand for unified DevOps and security features.
  • Security platform consolidation: JFrog’s security suite gained traction as customers like WalkMe migrated from multiple point solutions to the advanced security features of the JFrog platform. This consolidation allowed organizations to enforce policy, curate external packages, and reduce vendor complexity. CEO Shlomi Ben Haim pointed to these consolidations as a driver of efficiency and platform loyalty.
  • AI and ML product launch: The release of JFrog ML provided all cloud enterprise customers with tools to manage, test, and secure machine learning models. Early adoption included integration with Hugging Face, an open-source model hub, to scan and secure millions of AI models—addressing new security threats in the AI supply chain.
  • Strategic partnerships and market expansion: New collaborations, such as the partnership with GitHub, enhanced JFrog’s integration within software development workflows and expanded its reach among developers. Management noted that joint events and roadmap alignments have increased customer engagement and pipeline growth.

Drivers of Future Performance

JFrog expects near-term growth to be driven by security platform adoption, cloud migration, and gradual monetization of new AI and MLOps offerings, while macroeconomic conditions and cautious customer spending remain key risks.

  • Security product adoption: Management expects expanded adoption of JFrog’s security platform to be a primary driver of growth, as organizations increasingly seek to consolidate security tooling and enforce supply chain policy. The pipeline for security-related deals remains strong, though purchasing cycles have not meaningfully shortened.
  • Cloud migration and enterprise deals: Ongoing shifts from on-premises to cloud-based solutions, along with multi-year enterprise contracts, are expected to support revenue stability. However, management is excluding the largest, most complex deals from its near-term outlook due to uncertainty in customer deployment timing.
  • Emerging AI and MLOps monetization: Early usage of JFrog ML is encouraging, but management stressed that revenue contributions from machine learning model management will be gradual. Governance and budgeting for AI initiatives are still evolving among enterprise customers, so material financial impact from MLOps is not anticipated until adoption becomes more widespread.

Catalysts in Upcoming Quarters

In the coming quarters, the StockStory team will watch (1) whether JFrog can maintain elevated cloud usage and successfully convert excess consumption into longer-term commitments, (2) continued traction and upsell activity in core security and MLOps offerings, and (3) signs that large enterprise and multi-year deals translate into improved net retention and annual recurring revenue. Execution on AI security initiatives and deeper integration with partners like GitHub will also be important markers of progress.

JFrog currently trades at a forward price-to-sales ratio of 9.3×. Should you double down or take your chips? Find out in our full research report (it’s free).

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