JFrog Ltd.

    FROG ·NASDAQ ·Services-Prepackaged Software ·Inc. in L3
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    PART I

    Item 1. Business

    Overview

    JFrog’s goal is to provide a system of record for the software supply chain in the Artificial Intelligence (“AI”) era. As a foundational platform that provides governance, security and trust to enterprise software organizations, JFrog’s unified platform (“JFrog Platform”) allows companies to successfully unify development speed, volume, security, governance and delivery of software applications across hybrid teams of developers, security professionals, Artificial Intelligence/Machine Learning (“AI/ML”) engineers and AI agents. We envision a world where innovative, secure, compliant and trusted software is consumed, built and continuously delivered from any user to any destination; a reality we refer to as “Liquid Software.”

    The complimentary practices of DevOps, DevSecOps, DevGovOps, MLOps and AI development are converging within organizations, exposing new challenges in process, security, governance and compliance for software delivery. This unification continues to re-shape the composition of development teams, increase software volume, and expand enterprise digital footprints. As a pioneer in DevOps, DevSecOps, and DevGovOps, JFrog recognizes the unique potential of technology shifts and how they are best adopted within an organization.

    A rapidly evolving marketplace demands a new generation of tooling that encompasses the complete software supply chain; a platform that serves many functions in an organization affected by rapid technology adoption. We anticipate that our Platform will continue to grow in relevance and impact, as companies increasingly seek to manage workflows, apply processes, deliver application security and scale their infrastructure efficiently in an AI-first world. JFrog serves demanding enterprises in some of the world’s most complex technology environments, leading the majority of the Fortune 500 to trust JFrog as a system of record across their software development organizations.

    Software and the Business Environment

    Software’s role has changed from a functional tool to a cornerstone of nearly every company, dictating that the continuous development and release of software is now a mission-critical operation. Beyond providing competitive advantage for companies, the safety and security of data and operations is software-dependent and increasingly influenced by AI.

    To meet this need, updating a feature of a software application or AI model, rather than releasing a new version of the entire application, ensures that current solutions are brought to market faster, allowing organizations to be more responsive to their customers’ needs, security concerns and corporate welfare.

    The proliferation of open source software, AI and ML models and availability of newer and more efficient software development technologies such as Agentic AI and Generative AI, enable organizations to produce software at an increasing rate. However, with speed can come software supply chain complexity through disparate services, inadvertent adoption of malicious packages, introduced security vulnerabilities, unregulated containers, and unchecked deployment across hybrid and multi-cloud environments. Organizations’ existing approaches can create silos and bottlenecks around critical steps, such as planning, curating, building, testing, securing, and delivering intelligent software. The merging of new technologies with legacy approaches has placed significant strain on traditional software workflows, which are even further complicated by the introduction of these AI components.

    The DevOps, DevSecOps, DevGovOps, MLOps, and AI Development Workflows

    DevOps is a maturing discipline that integrates software development and operations, shortening, automating, and improving the software build and release workflow. DevOps is a combination of technologies, methodologies, and culture that powers a continuous, fast, and secure software release cycle. DevOps is increasingly influenced by AI, such as generative coding assistants and AI agents.

    The DevSecOps workflow spans the DevOps workflow, but with the addition of security capabilities, including the planning, curating, coding, building, securing, and testing of software components by developers, to the secure releasing, deploying, operating, and monitoring of that software by operators. Sometimes dubbed “shifting left,” DevSecOps integrates security practices across the DevOps workflow for early detection of issues and ongoing software security throughout the software’s lifecycle. JFrog provides the common ground for software developers, security teams, and IT operators, making it integral to the DevOps and DevSecOps workflows to create trusted software releases. DevSecOps is emerging as a key use case for AI

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    technologies, such as those that provide AI agent-driven remediation of security vulnerabilities or agents that provide contextualized security analysis.

    Compounding the DevOps and DevSecOps workflows, increasing AI and MLOps processes combine the work of developers, AI agents, data scientists, and ML engineering teams who build, train, and deploy AI technologies - such as ML models - with operational motions that bring these models and AI-empowering technologies into production as part of applications.

    “DevGovOps” is an emerging discipline and framework that aims to merge DevOps and DevSecOps practices with the evolving business needs of governance over software releases. DevGovOps aims to automate governance, policies, control gates and business operations around software delivery directly within existing software supply chain processes.

    The convergence of DevOps, DevSecOps, DevGovOps, and AI/MLOps solutions into a foundational platform allows JFrog to address multiple processes simultaneously, enabling more rapid, intelligent, confident, and compliant application delivery across a business.

    Code Versus Software Packages & Artifacts

    Modern society heavily relies on software, and most individuals understand that software comes from code generated by software developers and, increasingly, AI agents and coding assistants. But software, in code form, doesn’t equate to an application. Code is built (i.e., transformed) into binary files (or “software packages” and “artifacts”) that allow it to run alongside other components as a complete application for consumers as it runs on a server or device. The vast majority of technologies today are built using only a small percentage of original source code written by developers or generative AI, with an estimated >80% of an application’s binaries (including containers, traditional software packages and AI/ML models) coming from open source, existing software. JFrog’s unified platform is designed to universally secure, manage and deploy all types of software artifacts within an organization, making it the system of record for an organization’s software, whether bespoke by hybrid development teams or consumed from a third party.

    Increasingly, the need to manage software components is being heavily influenced by the emerging needs to manage ML models (and large language models), AI technologies, and their dependencies. The increasingly large volumes and complexity of packages within an organization’s software supply chain requires a new, systematic, AI agent-ready, and automated approach to trusted management of packages. Tracking and managing software at the package level enables organizations to make incremental updates to packages and models, delivering trusted software and bills of materials alongside their software releases. Universal package management allows software releases to be continuous, and capable of handling the volume, variety, security, and velocity of trusted software required today.

    Our Platform

    The JFrog Platform connects all of the processes involved in building and releasing software, enabling trust by offering a single source of truth for all software release inputs and outputs. We empower our customers to shorten their software and AI technology release cycles, and enable the continuous flow of current, secure, up-to-date software from any source to any distributed edge. Our platform is designed to be agnostic to the programming languages, source code repositories, public hubs, and development technologies that our customers use, as well as the type of production environments to which they deploy.

    The JFrog Platform allows customers to compile software from source code repositories, curate the importation of external software packages and AI models, manage the dependencies among components within software packages, keep these packages under a single universal repository, manage and automate the usage of open source models, libraries and packages, scan for vulnerabilities through various stages and contexts, distribute to endpoints, and deploy securely to production, all through a single user access point or via model context protocol (“MCP”) functionality for AI agents. This complete process is often referred to as management and securing of the “software supply chain.”

    Since JFrog’s inception with the creation of the software package management category (“JFrog Artifactory”), we have consistently innovated and added new solutions to expand the capabilities of our platform in demand of modern enterprises.

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    The JFrog Platform

     

    Solutions

    JFrog Platform solutions enable enterprise DevOps, DevSecOps, and AI/MLOps development teams to efficiently and securely collaborate to deliver traceable and trusted software at near-infinite scale.

    JFrog Artifactory. JFrog Artifactory provides core functionality to the JFrog Platform as the “single source of truth” for an organizations’ software artifacts. It allows teams and organizations to store, update, and manage software packages at any scale, ensuring all artifacts being deployed are current, secure, and trusted. As an AI Model Registry, Container Registry and universal binary manager, JFrog Artifactory supports all major software package technologies, and can be seamlessly deployed on public clouds, in multi-cloud environments, on-premises, in a private cloud, and across hybrid environments. JFrog Artifactory ensures consistency, trust, governance, and automation in the rapidly evolving software release process.

    For data science and MLOps teams, JFrog Artifactory also manages AI/ML models - the fuel of expanding AI technologies - and their dependencies as part of a new generation of companies’ AI-driven applications. We believe JFrog uniquely unites AI-powered development with DevSecOps best practices to create a universal software supply chain across an organization.

    JFrog Curation. JFrog Curation functions as a guardian outside the software development pipeline, controlling the admission of packages and AI models into an organization, primarily from open source or public repositories. These repositories are consistently subjected to novel supply chain attacks, leading many companies to seek a package “firewall” to protect against malicious activity. Customers use JFrog Curation to build policies around the entry or blocking of any software packages into a company’s repositories based on multiple factors such as age, version number, security risk, release timelines, target environments, and other metadata. JFrog Curation relies on the JFrog Catalog of open-source package information, with over 4 million unique packages and their advanced metadata available. JFrog Curation is an optional add-on as part of select JFrog Platform enterprise subscriptions, while JFrog AI Catalog is offered as an extension of JFrog Curation specifically designed for AI/ML models and technology curation.
    JFrog Xray (Security Essentials). JFrog Xray continuously scans JFrog Artifactory to secure all software packages stored in it. JFrog Xray analyzes software packages at a binary level, utilizing the metadata stored in JFrog Artifactory to accurately uncover potential vulnerabilities, policy violations, and open source software license compliance issues. JFrog Xray also provides unique security information to customers that is derived from a dedicated security research team that uncovers vulnerabilities in public and private repositories.
    JFrog Advanced Security. JFrog Advanced Security offers in-depth binary and contextual scanning to examine data that is not accessible via package managers, software bill of materials or typical metadata. Natively integrated with JFrog’s Artifactory binary repository and JFrog Xray’s software composition analysis solutions, JFrog Advanced Security

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    capabilities, including source code scanning (“SAST”), secrets detection, contextual analysis, Infrastructure as Code (“IaC”) scanning, container scanning, malicious machine learning model detection IDE extension security, transitive contextual analysis, AI agentic remediation capabilities, MCP scanning, and more, offering holistic coverage for software supply chain security at scale. JFrog Advanced Security is an optional add-on functionality for select JFrog subscriptions.
    JFrog Runtime Security.

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    Financial statements

    data from SEC XBRL filings. Values are as-reported; restatements supersede originals. Values reported in .

    From 10-K filed 2026-02-13 (period ending 2025-12-31).

    Issuer Purchases of Equity Securities

    None.

    Item 6. [Reserved]

    Item 7. Management's Discussion and Analysis of Financial Conditions and Results of Operations

    The following discussion and analysis of our financial condition and results of operations should be read in conjunction with our consolidated financial statements and the related notes included elsewhere in this Annual Report on Form 10-K. You should review the section titled “Special Note Regarding Forward-Looking Statements,” above in this Annual Report on Form 10-K for a discussion of forward-looking statements and important factors that could cause actual results to differ materially from the results described in or implied by the forward-looking statements contained in the following discussion and analysis. Factors that could cause or contribute to such differences include, but are not limited to, those identified below, and those discussed in the section titled “Risk Factors” in this Annual Report on Form 10-K. Our historical results are not necessarily indicative of the results that may be expected for any period in the future.

    The following section generally discusses our financial condition and results of operations for the year ended December 31, 2025 compared to the year ended December 31, 2024. A discussion regarding our financial condition and results of operations for the year ended December 31, 2024 compared to the year ended December 31, 2023 can be found in Part II, Item 7 of our 2024 Annual Report on Form 10‐K, filed with the SEC on February 14, 2025.

    Overview

    JFrog provides a foundational platform for managing and securing the software supply chain. The JFrog Platform enables organizations to unify software development, security, governance, and distribution across hybrid teams, including developers, security professionals, Artificial Intelligence/Machine Learning (“AI/ML”) engineers and Artificial Intelligence agents. It supports the consumption, creation, and continuous delivery of software from any user to any destination which we refer to as “Liquid Software.” During 2025, we revised our customer logo methodology to eliminate friction for our customers and sales teams to better align with global go-to-market practices, which resulted in the consolidation of certain organizations with multiple subsidiaries into a single entity. As of December 31, 2025, we had a global customer base of approximately 6,600 organizations across all industries and sizes, including approximately 83% of Fortune 100 organizations. All of the top 10 technology organizations and top 10 financial services organizations, 8 of the top 10 retail organizations, 8 of the top 10 healthcare organizations, and all of the top 7 telecommunications organizations in the Fortune 500 have adopted the JFrog Platform, embarking on their journey towards Liquid Software. For the year ended December 31, 2025, our 10 largest customers represented approximately 9% of our total revenue and 40% of our revenue was generated from customers outside of the United States.

    We have designed our subscription structure and go-to-market strategy to align our growth with the success of our customers. Our business model benefits from our ability to serve the needs of all customers, from individual software developers, security teams, AI/ML teams, and IT operators to the largest organizations, in a value-oriented manner.

    We generate revenue from the sale of subscriptions to customers. We offer subscription tiers for self-managed deployments, where our customers deploy and manage our products across their public cloud, on-premises, private cloud, or hybrid environments, as well as JFrog-managed public cloud deployments, which we refer to as our SaaS subscriptions. Revenue from SaaS subscriptions contributed 46% of our total revenue for the year ended December 31, 2025, compared to 39% for the year ended December 31, 2024.

    Our self-managed subscriptions are offered on an annual and multi-year basis, and our SaaS subscriptions are offered on a monthly, annual, and multi-year basis. Revenue from Enterprise Plus subscription represented approximately 56% of our total revenue for the year ended December 31, 2025, compared to approximately 51% for the year ended December 31, 2024. The growth in revenue from our Enterprise Plus subscription demonstrates the increased demand for our end-to-end solutions for customers’ entire software supply chain management.

    We have an unwavering commitment to the software developer, security teams, AI/ML engineers, and IT operator communities, and show this commitment by offering varying forms of free access to our products in addition to the paid subscriptions described above. This free access takes the form of free trials and open source software, and helps generate demand for our paid offerings within the software developer, security professionals, AI/ML engineers, and IT operator communities.

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    We generated revenue of $531.8 million and $428.5 million for the years ended December 31, 2025 and 2024, respectively, representing year-over-year growth rate of 24%. We continued to invest in our business and had net loss of $71.8 million and $69.2 million for the years ended December 31, 2025 and 2024, respectively.

    Factors Affecting Our Performance

    We believe that our future performance will depend on many factors, including, but not limited to, the following:

    Extending Our Technology Leadership

    We intend to continue to enhance our hybrid, universal, end-to-end software supply chain platform by developing new products and expanding the functionality of existing products to maintain our technology leadership.

    We invest heavily in integrating our products with the major package technologies so that our products can be easily adopted in any development environment. We believe that these integrations increase the value of our platform to our customers, as they provide freedom of choice for software developers, security teams, and IT operators and help avoid vendor lock-in. We intend to expend additional resources in the future to continue introducing new products, features, and functionality.

    Expanding Usage by Existing Customers

    We believe that there is a significant opportunity for growth with many of our existing customers. Many customers purchase our products through self-service channels and often materially expand their usage over time. Increased engagement with our products provides our support and customer success teams opportunities to work directly with customers and introduce them to additional products and features, as well as drive usage of our products across large teams and more broadly across organizations. Furthermore, we see expansion opportunities when customers migrate from self-managed subscriptions to SaaS solutions because customers have generally increased their platform usage levels after migration. We will continue to expand our strategic team to identify new use cases and drive expansion and standardization on JFrog within our largest customers, to maintain engineering-level customer support, and to introduce new products and features that are responsive to our customers’ needs.

    We quantify our expansion across existing customers through our net dollar retention rate. Our net dollar retention rate compares our annual recurring revenue (“ARR”) from the same set of customers across comparable periods. We define ARR as the annualized revenue run-rate of subscription agreements from all customers as of the last month of the quarter. The ARR includes monthly subscription customers so long as we generate revenue from these customers. We annualize our monthly subscriptions by taking the revenue we would contractually expect to receive from such customers in a given month and multiplying it by 12. We calculate net dollar retention rate by first identifying customers (the “Base Customers”), which were customers in the last month of a particular quarter (the “Base Quarter”). We then calculate the contracted ARR from these Base Customers in the last month of the same quarter of the subsequent year (the “Comparison Quarter”). This calculation captures upsells, contraction, and attrition since the Base Quarter. We then divide total Comparison Quarter ARR by total Base Quarter ARR for Base Customers. Our net dollar retention rate in a particular quarter is obtained by averaging the result from that particular quarter with the corresponding results from each of the prior three quarters. Our net dollar retention rate may fluctuate as a result of a number of factors, including the level of penetration within our customer base, expansion of products and features, and our ability to retain our customers. As of December 31, 2025 and 2024, our net dollar retention rate was 119% and 116%, respectively. We expect our net dollar retention rate to remain relatively stable, with minor fluctuations around current levels.

    We focus on growing the number of large customers as a measure of our ability to scale with our customers and attract larger organizations to adopt our products. As of December 31, 2025, 1,168 of our customers had ARR of $100,000 or more, increasing from 1,018 customers as of December 31, 2024. We had 74 customers with ARR of at least $1.0 million as of December 31, 2025, increasing from 52 customers as of December 31, 2024.

    Acquiring New Customers

    We believe there is a significant opportunity to grow the number of customers that use our platform. As of December 31, 2025, approximately 31% of the Forbes Global 2000 were our customers. Our operating results and growth prospects will depend in part on our ability to attract new customers. To date, we have primarily relied on our self-service and inbound sales model to attract new customers. Prospective customers can evaluate and adopt our products through our free trials and open source software options. The costs associated with providing these free trials and open source software options are included in sales and marketing. While we believe we have a significant market opportunity that our platform addresses, we will need to continue to invest in customer support, research and development, and sales and marketing in order to address this opportunity.

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    Additionally, we believe our products address the software release needs of customers worldwide, and we see international expansion as a major opportunity. We have been operating and selling our products in international markets since our inception. While we believe global demand for our products will continue to increase as international market awareness of our brand grows, our ability to conduct our operations internationally will require considerable management attention and resources and is subject to the particular challenges of supporting a rapidly growing business in an environment of multiple languages, cultures, customs, legal and regulatory systems, alternative dispute systems, and commercial markets.

    Non-GAAP Financial Measures

    In addition to our results determined in accordance with GAAP, we believe that free cash flow, a non-GAAP financial measure, is useful in evaluating the performance of our business.

    Free Cash Flow

    Free cash flow is a non-GAAP financial measure that we calculate as net cash provided by operating activities less purchases of property and equipment. We believe this is a useful indicator of liquidity that provides information to management and investors about the amount of cash generated from our core operations that, after the purchases of property and equipment, can be used for strategic initiatives, including investing in our business, making strategic acquisitions, and strengthening our balance sheet. Free cash flow has limitations as an analytical tool, and it should not be considered in isolation or as a substitute for analysis of other GAAP financial measures, such as net cash provided by operating activities. Some of the limitations of free cash flow are that this metric does not reflect our future contractual commitments and may be calculated differently by other companies in our industry, limiting its usefulness as a comparative measure. We expect our free cash flow to fluctuate in future periods as we invest in our business to support our plans for growth.

    The following table summarizes our cash flows for the periods presented and provides a reconciliation of net cash from operating activities, the most directly comparable financial measure calculated in accordance with GAAP, to free cash flow, a non-GAAP financial measure, for each of the periods presented:

     

    Year Ended December 31,

     

     

    2025

     

     

    2024

     

     

    2023

     

     

    (in thousands)

     

    Net cash provided by operating activities

    $

    145,729

     

     

    $

    110,924

     

     

    $

    74,155

     

    Less: purchases of property and equipment

     

    (3,460

    )

     

     

    (3,143

    )

     

     

    (1,982

    )

    Free cash flow

    $

    142,269

     

     

    $

    107,781

     

     

    $

    72,173

     

    Net cash used in investing activities

    $

    (152,268

    )

     

    $

    (165,356

    )

     

    $

    (53,476

    )

    Net cash provided by financing activities

    $

    31,210

     

     

    $

    21,231

     

     

    $

    18,371

     

    Components of Results of Operations

    Revenue

    Our revenues are comprised of revenue from self-managed subscriptions and SaaS subscriptions. Subscriptions to our self-managed software include license, support, and upgrades and updates on a when-and-if-available basis. Our SaaS subscriptions provide access to our latest managed version of our product hosted in a public cloud.

    Subscription—Self-Managed and SaaS

    Subscription—self-managed and SaaS revenue is generated from the sale of subscriptions for our self-managed software products and the sale of our SaaS subscriptions. For subscriptions to our self-managed software products, revenue is recognized

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    ratably over the subscription term. For our SaaS subscriptions, revenue is recognized ratably over each commitment period within the subscription term, based on minimum usage commitments and any excess usage in the corresponding commitment period.

    License—Self-Managed

    The license component of our self-managed subscriptions reflects the revenue recognized by providing customers with access to proprietary software features. License revenue is recognized upfront when the software license is made available to our customer.

    Cost of Revenue

    Subscription—Self-Managed and SaaS

    Cost of subscription—self-managed and SaaS revenue primarily consists of expenses related to providing support to our customers and cloud-related costs, such as hosting and managing costs. These costs primarily consist of personnel-related expenses of our services and customer support personnel, share-based compensation expenses, amortization of acquired intangible assets, public cloud infrastructure costs, depreciation of property and equipment, and allocated overhead. We expect our cost of subscription and SaaS revenue to increase in absolute dollars as our subscription and SaaS revenue increases.

    License—Self-Managed

    Cost of license self-managed revenue consists of amortization of acquired intangible assets.

    Operating Expenses

    Research and Development

    Research and development costs primarily consist of personnel-related expenses, share-based compensation expenses, associated with our engineering personnel responsible for the design, development, and testing of our products, cost of development environments and tools, and allocated overhead. We expect that our research and development expenses will continue to increase as we increase our research and development headcount to further strengthen and enhance our products and invest in the development of our software.

    Sales and Marketing

    Sales and marketing expenses primarily consist of personnel-related expenses, share-based compensation expenses, sales commissions, public cloud infrastructure costs associated with our free trials and open source software options, and costs associated with marketing programs and user events. Marketing programs include advertising, promotional events, and brand-building activities. We plan to increase our investment in sales and marketing over the foreseeable future, as we continue to hire additional personnel and invest in sales and marketing programs.

    General and Administrative

    General and administrative expenses primarily consist of personnel-related expenses, share-based compensation expenses, associated primarily with our finance, legal, human resources and other operational and administrative functions, professional fees for external legal, accounting and other consulting services, directors and officer’s insurance expenses, and allocated overhead. We expect to increase the size of our general and administrative function to support the growth of our business.

    Interest and Other Income, Net

    Interest and other income, net primarily consists of income earned on our cash equivalents and short-term investments. Interest and other income, net also includes foreign exchange gains and losses.

    Income Tax Expense

    Income tax expense consists primarily of income taxes related to the U.S. and other foreign jurisdictions in which we conduct business. We maintain a full valuation allowance on deferred tax assets in Israel as we have concluded that it is not more likely than not that the deferred tax assets will be realized. We may recognize tax benefits from the release of valuation allowance in

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    connection with acquisitions that create deferred tax liabilities. Our effective tax rate is affected by tax rates in foreign jurisdictions and the relative amounts of income we earn in those jurisdictions, non-deductible expenses, excess tax benefits from share-based compensation awards, and changes in our valuation allowance.

    Results of Operations

    The following tables set forth selected consolidated statements of operations data and such data as a percentage of total revenue for each of the periods indicated:

     

    Year Ended December 31,

     

     

    2025

     

     

    2024

     

     

    2023

     

     

    (in thousands)

     

    Revenue:

     

     

     

     

     

     

     

     

    Subscription—self-managed and SaaS

    $

    502,796

     

     

    $

    406,903

     

     

    $

    330,193

     

    License—self-managed

     

    29,044

     

     

     

    21,585

     

     

     

    19,693

     

    Total subscription revenue

     

    531,840

     

     

     

    428,488

     

     

     

    349,886

     

    Cost of revenue:

     

     

     

     

     

     

     

     

    Subscription—self-managed and SaaS(1)(2)(3)

     

    123,337

     

     

     

    97,758

     

     

     

    76,244

     

    License—self-managed(2)

     

    116

     

     

     

    542

     

     

     

    799

     

    Total cost of revenue—subscription

     

    123,453

     

     

     

    98,300

     

     

     

    77,043

     

    Gross profit

     

    408,387

     

     

     

    330,188

     

     

     

    272,843

     

    Operating expenses:

     

     

     

     

     

     

     

     

    Research and development(1)(3)

     

    195,089

     

     

     

    160,864

     

     

     

    134,584

     

    Sales and marketing(1)(2)(3)

     

    223,932

     

     

     

    190,401

     

     

     

    150,675

     

    General and administrative(1)(3)

     

    81,219

     

     

     

    70,021

     

     

     

    63,132

     

    Total operating expenses

     

    500,240

     

     

     

    421,286

     

     

     

    348,391

     

    Operating loss

     

    (91,853

    )

     

     

    (91,098

    )

     

     

    (75,548

    )

    Interest and other income, net

     

    25,816

     

     

     

    25,278

     

     

     

    21,032

     

    Loss before income taxes

     

    (66,037

    )

     

     

    (65,820

    )

     

     

    (54,516

    )

    Income tax expense

     

    5,782

     

     

     

    3,416

     

     

     

    6,740

     

    Net loss

    $

    (71,819

    )

     

    $

    (69,236

    )

     

    $

    (61,256

    )

    _________________________________________

    (1) Includes share-based compensation expense as follows:

     

    Year Ended December 31,

     

    2025

     

     

    2024

     

     

    2023

     

    (in thousands)

    Cost of revenue: subscription–self-managed and SaaS

    $

    16,768

     

     

    $

    14,555

     

     

    $

    9,784

    Research and development

     

    58,203

     

     

     

    48,192

     

     

     

    32,689

    Sales and marketing

     

    55,749

     

     

     

    47,603

     

     

     

    30,338

    General and administrative

     

    25,937

     

     

     

    20,756

     

     

     

    22,360

    Total share-based compensation expense

    $

    156,657

     

     

    $

    131,106

     

     

    $

    95,171

    (2) Includes amortization expense of acquired intangible assets as follows:

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    Held by

    holders ( registered funds via N-PORT, institutional investors via 13F). Showing top by dollar value.

    Holder Type ETF MF Position ($) % of holder Δ % of holder Holder AUM

    Recent insider activity

    Last 90 days. Open-market trades (purchases & sales) by directors, officers, and 10%+ owners. 22 transactions across 8 insiders. Net: -1,156,463 shares, -$107,051,712.

    Date Insider Role Action Shares Price Value
    2026-09-08 Notman Tali CHIEF REVENUE OFFICER Sell -18,794 ×2 $86.98 -$1,634,660
    2026-09-08 Shlomi Ben Haim CHIEF EXECUTIVE OFFICER Sell -45,700 ×7 $85.35 -$3,900,678
    2026-09-04 Landman Yoav CHIEF TECHNOLOGY OFFICER Sell -45,000 ×5 $89.27 -$4,016,997
    2026-09-02 Notman Tali CHIEF REVENUE OFFICER Sell -19,157 $90.51 -$1,733,900
    2026-09-03 Grabscheid Eduard CHIEF FINANCIAL OFFICER Sell -8,436 ×6 $91.60 -$772,719
    2026-09-02 Grabscheid Eduard CHIEF FINANCIAL OFFICER Sell -8,780 $90.51 -$794,678
    2026-09-01 Simon Frederic Director Sell -120,000 ×8 $93.21 -$11,185,778
    2026-09-02 Shlomi Ben Haim CHIEF EXECUTIVE OFFICER Sell -37,232 $90.51 -$3,369,868
    2026-08-28 Steele Elisa Director Sell -554 $103.41 -$57,289
    2026-08-27 Landman Yoav CHIEF TECHNOLOGY OFFICER Sell -249,300 ×4 $100.72 -$25,110,641
    2026-08-13 Landman Yoav CHIEF TECHNOLOGY OFFICER Sell -45,000 ×10 $90.86 -$4,088,726
    2026-08-13 Simon Frederic Director Sell -120,000 ×10 $90.86 -$10,903,555
    2026-08-07 Shlomi Ben Haim CHIEF EXECUTIVE OFFICER Sell -15,000 ×5 $91.00 -$1,365,057
    2026-07-23 ZWARENSTEIN BARRY Director Sell -1,250 $80.10 -$100,125
    2026-07-17 Landman Yoav CHIEF TECHNOLOGY OFFICER Sell -45,000 ×5 $87.23 -$3,925,463
    2026-07-16 Sela Yossi Director Sell -25,000 ×4 $87.43 -$2,185,744
    2026-07-08 Shlomi Ben Haim CHIEF EXECUTIVE OFFICER Sell -15,000 ×3 $94.37 -$1,415,526
    2026-07-07 Landman Yoav CHIEF TECHNOLOGY OFFICER Sell -700 $99.00 -$69,300
    2026-07-01 Grabscheid Eduard CHIEF FINANCIAL OFFICER Sell -561 $92.61 -$51,954
    2026-07-01 Simon Frederic Director Sell -120,000 ×4 $91.07 -$10,928,663
    2026-06-29 Landman Yoav CHIEF TECHNOLOGY OFFICER Sell -150,000 $89.99 -$13,498,500
    2026-06-29 Shlomi Ben Haim CHIEF EXECUTIVE OFFICER Sell -65,999 $90.03 -$5,941,890

    Source: SEC Form 4 filings.

    Next expected filings

    • ~2026-11-06 10-Q expected by 2026-11-08 (in 54 days)
    • ~2027-02-12 10-K expected by 2027-03-01 (in 152 days)
    • ~2027-05-07 10-Q expected by 2027-05-09 (in 236 days)
    • ~2027-08-06 10-Q expected by 2027-08-08 (in 327 days)

    Predicted from historical filing cadence; not an SEC commitment.

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