Jfrog Ltd Stock Price, News & Analysis

JFrog (NASDAQ: FROG) has announced a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to enhance enterprise customers' cloud migration capabilities and software supply chain investments. The partnership aims to provide customers with accelerated cloud migration and increased resources through AWS Marketplace procurement.

The collaboration focuses on delivering a unified, secure, and reliable cloud-native platform, enabling customers to bring applications to market faster. Fortra, a cybersecurity and automation solutions provider, has already implemented the JFrog Platform on AWS, reporting improved developer experience and optimized software development lifecycle.

According to Tali Notman, JFrog's CRO, the expanded AWS collaboration is important for helping customers achieve cloud-native initiatives using robust and secure software delivery infrastructure.

JFrog (Nasdaq: FROG), the Liquid Software company and creators of the JFrog Software Supply Chain Platform, has announced it will release its fourth quarter and fiscal 2024 financial results on Thursday, February 13, 2025, after market close. The company will host a conference call to discuss the results at 2:00 p.m. PT (5:00 p.m. EST) on the same day. Interested parties can access the webcast through the company's investor relations website.

JFrog (Nasdaq: FROG), the Liquid Software Company and creators of the JFrog Software Supply Chain Platform, has announced its participation in the upcoming 27th Annual Needham Growth Conference. The company's Co-Founder and CEO, Shlomi Ben Haim, along with CFO Ed Grabscheid, will deliver a virtual presentation on Thursday, January 16th, 2025 at 5:00 a.m. Pacific Standard Time.

Investors and interested parties can access both the live webcast and replay of the presentation through JFrog's investor relations website at https://investors.jfrog.com/events-and-presentations/events.

JFrog (Nasdaq: FROG) has announced its participation in two major investor conferences in Q4 2024. The company will present at the 18th Annual Needham Security, Networking and Communications Conference virtually on November 20th at 7:15 AM PST, and at the UBS Global Technology and AI Conference in Scottsdale, Arizona on December 3rd at 9:55 AM PST. Both presentations will be available via live webcast and replay on JFrog's investor relations website.

JFrog (Nasdaq: FROG) announced its Q3 2024 financial results, reporting total revenues of $109.1 million, a 23% year-over-year increase. Cloud revenues rose by 38%, reaching $42.4 million. The company highlighted its expansion into ML Ops and Runtime Security. Key metrics included 46 customers with ARR over $1 million, a 53% increase, and a Net Dollar Retention rate of 117%. GAAP gross profit was $81.8 million with a 75% margin, while non-GAAP gross profit was $90.3 million with an 82.8% margin. However, the GAAP operating loss was $29.9 million. Non-GAAP operating income was $14.7 million. GAAP net loss per share was $0.21, whereas non-GAAP EPS was $0.15. Operating cash flow stood at $27.6 million. For Q4 2024, the company expects revenues between $113.5 million and $114.5 million, and non-GAAP net income per diluted share between $0.13 and $0.15.

JFrog (Nasdaq: FROG), the Liquid Software company, has announced the timing for its third quarter 2024 financial results. The company will release its financial report on Thursday, November 7, 2024, after the market closes. Following the release, JFrog will host a conference call to discuss the results at 2:00 p.m. PT (5:00 p.m. EST) on the same day.

Interested parties can join the conference call by dialing 1 (888) 510-2285 for domestic participants or 1 (646) 960-0243 for international participants. Additionally, a webcast of the call will be available through the company's investor relations website at https://investors.jfrog.com/events-and-presentations.

JFrog (Nasdaq: FROG) released findings from an IDC survey revealing significant time and financial costs associated with software security tasks for developers. The study, titled 'The Hidden Cost of DevSecOps: A Developer's Time Assessment,' shows that companies spend an average of $28,000 per developer annually on security-related tasks.

Key findings include:

• 50% of developers experienced a significant increase in weekly hours spent on security tasks
• Developers spend an average of 3.5 hours manually reviewing security scanning findings
• 69% of developers agree that security responsibilities require frequent context switching between tools
• Developers devote 50% of their time to understanding and addressing secrets scanning results
• Only 23% of developers run static application security testing (SAST) scans before deploying code to production

The survey emphasizes the need for streamlined security processes, tooling, and training to improve efficiency and effectiveness in protecting the software supply chain.

JFrog (Nasdaq: FROG) has unveiled JFrog Runtime, a new security solution that integrates security throughout the entire software development lifecycle. This addition to the JFrog Platform enables organizations to:

1. Monitor Kubernetes clusters in real-time
2. Identify and address security incidents based on actual risk
3. Ensure image integrity and meet compliance requirements

The solution aims to bridge the gap between developers and security teams, automating DevSecOps tasks to save time and strengthen security for cloud-native applications. According to an IDC survey, organizations spend an average of $542 per week per developer on security-related tasks, totaling $1.89 million annually. JFrog Runtime addresses this by offering features such as real-time vulnerability visibility, accelerated triage, and comprehensive analytics for Kubernetes clusters.

JFrog (Nasdaq: FROG) has announced a new product integration with NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform. This collaboration aims to meet the increasing demand for enterprise-ready generative AI by combining GPU-optimized, pre-approved AI models with centralized DevSecOps processes in an end-to-end software supply chain workflow.

The integration is expected to allow organizations to bring secure machine learning (ML) models and large language models (LLMs) to production faster, with increased transparency, traceability, and trust. Key benefits include unified management, comprehensive security and integrity, exceptional model performance and scalability, and flexible deployment options.