Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

Elastic Security is hiring a VP of Threat Research to own the research agenda for what our platform detects, prevents, and publishes, and to serve as the public voice of that work.

This role reports directly to the GM of Elastic Security. It is a senior individual contributor leadership role for someone with deep technical credibility who wants to shape direction through expertise, judgment, and influence. You will decide what the team builds and why: setting priorities across detection engineering, threat research, endpoint protections, and security ML, while partnering closely with delivery leaders who own execution and people management.

This is also a highly visible, outbound role. You will represent Elastic with customers, at industry conferences, with press and analysts, and in the broader security research community. We are looking for someone who wants to elevate Elastic’s research brand, guide the technical agenda, and help define how the industry thinks about modern threat detection and prevention.

What You Will Be Doing

Define the research and detection agenda across SIEM, endpoint, threat research, and security ML
Set the quality bar for what Elastic detects, prevents, and publishes
Decide where the team should invest next across malware detection, ransomware and memory protections, and AI-driven security capabilities
Shape the publishing strategy for Elastic Security Labs, including original research, malware analysis, and conference content
Act as the external face of the organization with customers, analysts, press, and the security community
Partner with engineering, product, and delivery leadership to turn research priorities into shipped protections
Help advance Elastic’s point of view on open and transparent security, including public detections and explainable AI-driven protections
Lead thinking on how AI changes both threat research and attacker behavior, and how Elastic should respond

What You Bring

Deep credibility in threat research, detection engineering, endpoint security, or security ML
Hands-on technical experience doing the work yourself, not only leading teams
The ability to operate as a senior IC leader who sets direction through technical depth and strong judgment
Strong public communication skills and enthusiasm for customer engagement, speaking, and industry visibility
A clear belief in open, transparent security and the value of publishing detections and research openly
Strong judgment and the ability to lead through influence, expertise, and vision
Experience setting strategy across technical security domains and translating that into clear priorities
A thoughtful point of view on AI in security, including both its promise and its risks
Willingness to travel regularly for customer meetings, conferences, and external engagements

Bonus Points

Experience leading or contributing to publicly recognized threat research or detection content
Familiarity with open detection ecosystems, GitHub-based research workflows, or community-driven security programs
Experience spanning both endpoint protections and SIEM detections
Background working with malware models, behavioral detections, or small language models in security use cases
Existing presence in the security community through talks, publications, or media engagement

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:

$312,000—$493,600 USD

The typical starting salary range for this role in the select locations listed above is:

$374,600—$592,600 USD

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [email protected] We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

The typical starting salary range for this role is: 312000 - 493600 USD
The typical starting salary range for this role in the select locations listed above is: 374600 - 592600 USD

About the company

Elastic provides a suite of search-powered software offered as SaaS and on-premises, helping organizations search, analyze, and visualize data in real time. Its flagship Elasticsearch ingests data, indexes it with a fast search engine, and delivers real-time search, analytics, and visualization through dashboards, with deployments available on Elastic Cloud or Elastic On-Prem and orchestration for managing multiple deployments. It differentiates itself by offering deployment flexibility and a broad set of use cases—from enterprise search to security analytics—within a single platform with subscription pricing based on data, users, and support. The goal is to help customers manage large data volumes to improve decision-making, operational efficiency, and security.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

Mountain View, California

Founded

2012

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Simplify's Take

What believers are saying

September 11, 2026, Elasticsearch Vector Database targets hundreds of billions of vectors.
September 3, 2026, OpenAI GPT cyber models deepen Elastic Security's AI workflow moat.
August 21, 2026, Deductive AI added investigation automation for security customers.

What critics are saying

June 24, 2026 layoffs cut 7% of staff, signaling slower hiring and churn risk.
Q1 fiscal 2027 GAAP operating loss stayed negative despite $20 million restructuring charges.
Microsoft, AWS, and Google Cloud can bury Elastic under native search services.

What makes Elastic unique

Elasticsearch remains the default open-source search engine for hybrid keyword-and-vector retrieval.
Elastic unifies search, observability, and security on one platform across cloud and on-prem.
Elastic Cloud Serverless pairs managed infrastructure with AI inference and vector optimization.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Fully paid health coverage for you and your family

Flexible location and schedule for most roles.

Generous number of vacation days each year

20+ additional shut it down days

Minimum of 16 weeks of parental leave, plus generous family formation benefits.

40 hours each year to use toward volunteering

Double your charitable giving

Growth & Insights and Company News

Headcount

6 month growth

↑ 1%

1 year growth

↑ 1%

2 year growth

↑ 0%

TIKR

Sep 18th, 2026

Elastic's top executives just cashed out $29 million in a week. Should You be worried?

Elastic's top executives just cashed out $29 million in a week. Should You be worried? Last updated Sep 18, 2026 Key takeaways. * Elastic posted a GAAP operating margin of -0.61% in fiscal Q1 2027, its second-best quarter in the past two years, even while absorbing roughly $20 million of restructuring charges tied to June's 7% workforce reduction. * Stock-based compensation fell for a second straight quarter, down 4.3% from January 2026's peak of $78.1 million to $74.8 million, the first sustained pullback after five quarters of steady increases. * Diluted weighted-average share count has dropped for three consecutive quarters, from 106.6 million to 104.6 million, as roughly $420 million in cumulative buybacks since October 2025 now outpace new share issuance from equity compensation. * Management is guiding for positive GAAP operating margin every quarter through fiscal 2027, a claim complicated by Elastic's own recent history: GAAP margin swung from +0.23% to -3.52% in the two quarters immediately before this one. * Two senior executives, including CTO Shay Banon, sold a combined $27.2 million of stock in early September at prices roughly 6% to 8% above where shares trade today. Elastic's First-Time Promise, Built on a Volatile Base. Elastic's (ESTC) fiscal first quarter of 2027 looked strong on the metrics investors usually watch first. Revenue reached $478 million, up 15% year over year and an acceleration from 14% constant-currency growth in the prior quarter. Non-GAAP operating margin came in at 16.2%, ahead of guidance. But GAAP results told a different story: operating loss widened to $24 million and the company posted a $17 million net loss, or -$0.16 per share. On the Q1 2027 earnings call, CFO Navam Welihinda made a claim Elastic has not been able to back up on a sustained basis before. "We expect our GAAP operating margin to be positive in the second quarter and for the full year," he said, adding that the company expects "to maintain GAAP operating margin profitability going forward." That promise lands just weeks after CTO Shay Banon disclosed the sale of 284,319 shares for approximately $26.79 million on September 3 and 4, at prices between $92.39 and $95.06, alongside GVP and Chief Accounting Officer Jane Bone's sale of 4,176 shares for $390,768. Elastic shares closed at $87.29 on September 18, meaning both executives sold roughly 6% to 8% above the current price. Insider sales alone do not prove or disprove a thesis, especially without visibility into whether they followed pre-set trading plans, but they raise the stakes on whether management's profitability claim is backed by something durable. The mechanism management is leaning on is straightforward: the workforce reduction announced June 23, cutting headcount by about 7% for $22 million to $25 million in non-recurring charges, was designed to permanently lower the cost base while revenue keeps accelerating. The question is whether the data one quarter in actually supports that, or whether the improvement is just a function of one-time charge timing that will not repeat. The Evidence Behind Elastic's Cost Discipline. Two data series suggest the cost discipline is more than accounting noise. Stock-based compensation rose almost every quarter for two years, from $64.1 million in the quarter ended October 2024 to a peak of $78.1 million in the quarter ended January 2026, a 22% climb. Since that peak, SBC has fallen for two consecutive quarters, to $77.5 million and then $74.8 million in the quarter just reported, a 4.3% pullback. That reversal timing lines up with the headcount reduction taking effect, and at $74.8 million, SBC now equals about 15.6% of Q1 revenue, down from a higher share of a smaller revenue base a year ago. The second series reinforces it. Diluted weighted-average shares outstanding climbed steadily as SBC-driven grants vested, peaking at 106.6 million in the quarter ended October 2025. Since then, share count has fallen for three straight quarters, to 105.3 million and then 104.6 million, nearly back to where it stood two years ago. That decline coincides with Elastic's $500 million buyback program, launched in October 2025, under which the company had deployed roughly $380 million and repurchased 5.2 million shares through the end of fiscal 2026, then spent another $40 million on about 800,000 shares in the quarter just reported. Cumulative repurchases of roughly $420 million are now large enough to outpace new dilution from equity awards, a mechanical but genuine driver of per-share GAAP results rather than a one-quarter illusion. Why the Fourth-Quarter Precedent Still Matters for ESTC Stock. The volatility in Elastic's own numbers is the strongest reason for caution. GAAP operating margin was actually positive once before this data set began improving, hitting +0.23% in the quarter ended January 2026. That gain reversed immediately, falling to -3.52% in the very next quarter, ended April 2026, which was also the softest GAAP print of the past two years alongside a -2.97% result in the same fiscal quarter a year earlier. Elastic's fiscal fourth quarter, which closes its year each April, has now produced the two weakest GAAP margins in this entire eight-quarter window. A promise to sustain positive GAAP margin "going forward" has to survive that specific quarter, not just the easier comparisons against a first quarter that typically carries fewer commission resets and true-up costs. There is a reasonable case that the underlying business is closer to breakeven than the -0.61% headline suggests. Stripping out the approximately $20 million of restructuring charges Elastic said it incurred in the first quarter, an amount equal to roughly 4.2% of revenue, would move GAAP operating margin from -0.61% to an estimated positive 3.6% on a comparable basis, by my own calculation using the disclosed charge and revenue figures. Management also flagged another $2 million to $5 million of restructuring costs still to come this fiscal year, a modest headwind against an otherwise improving trend. The organic improvement looks real. Whether it survives Elastic's own worst-performing quarter, still more than six months away, is unproven. The Claim Is More Credible Than It First Appears, But Not Yet Confirmed. Taken together, the evidence leans in management's favor more than the insider selling and the ugly headline GAAP loss would suggest on their own. Stock-based compensation has declined for two straight quarters for the first time in this data set, the diluted share count has fallen for three straight quarters as buybacks outrun new issuance, and the operating loss this quarter would have likely been a solid GAAP profit without one-time severance costs. That combination points to a real, not merely cosmetic, improvement in Elastic's cost structure following the June restructuring. The unresolved risk is timing. Elastic's own fiscal fourth quarter has been the weak link two years running, and management's guidance does not specify by how much GAAP margin will stay positive, only that it expects to. The next disclosures worth watching are whether SBC and share count keep falling through fiscal Q2 and Q3 as the restructuring fully phases in, and whether the April 2027 quarter breaks the pattern of being the year's softest GAAP print. If it does, Elastic will have delivered something it has never sustained before. If GAAP margin snaps sharply negative again in that quarter, the promise of durable profitability will look more like favorable timing than a structural shift. Should You Invest in Elastic N.V.? The only way to really know is to look at the numbers yourself. TIKR gives you free access to the same institutional-quality financial data that professional analysts use to answer exactly that question. Pull up ESTC stock and you'll see years of historical financials, what Wall Street analysts expect for revenue and earnings in the quarters ahead, how valuation multiples have moved over time, and whether price targets are trending up or down. Looking for New Opportunities? * See what stocks billionaire investors are buying so you can follow the smart money. * Analyze stocks in as little as 5 minutes with TIKR's all-in-one, easy-to-use platform. * The more rocks you overturn... the more opportunities you'll uncover. Search 100K+ global stocks, global top investor holdings, and more with TIKR. Disclaimer: Please note that the articles on TIKR are not intended to serve as investment or financial advice from TIKR or its content team, nor are they recommendations to buy or sell any stocks. TIKR create its content based on TIKR Terminal's investment data and analysts' estimates. Its analysis might not include recent company news or important updates. TIKR has no position in any stocks mentioned. Thank you for reading, and happy investing! Table of Contents * Elastic's First-Time Promise, Built on a Volatile Base * The Evidence Behind Elastic's Cost Discipline * Why the Fourth-Quarter Precedent Still Matters for ESTC Stock * The Claim Is More Credible Than It First Appears, But Not Yet Confirmed * Should You Invest in Elastic N.V.? * Looking for New Opportunities? * Disclaimer: General Investing Earnings Updates Join thousands of investors worldwide who use TIKR to supercharge their investment analysis.

Tech in Asia

Sep 15th, 2026

OpenAI hires first Asia Pacific sales VP in Singapore.

OpenAI hires first Asia Pacific sales VP in Singapore. OpenAI has hired Sanjay Deshmukh as its first vice president of Asia Pacific sales. Based in Singapore, he will lead the company's sales efforts across the region as more companies in Asia Pacific deploy AI tools. Deshmukh joins from Elastic, a search and data analytics software company based in the US, where he was vice president for Asia Pacific. He previously served as senior vice president for the Association of Southeast Asian Nations and India at Snowflake and held regional leadership roles at VMware. He will report to CRO Dali Rajic and work with OpenAI leaders including Kiran Mani, Oliver Jay, and regional teams. The hire adds to OpenAI's Singapore expansion after the company said it would open an office there to support Asia Pacific growth. Mani also recently joined OpenAI as its Asia Pacific head in Singapore. For enterprise customers, OpenAI also introduced data residency in Asia in 2025. Separately, Singapore has issued a model AI governance framework for generative AI. Recent OpenAI developments. Stay updated on the go with our mobile app. Get latest insights with smoother, more personalized experience through TIA mobile app. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!

Elastic

Sep 11th, 2026

Elastic introduces serverless Vector Database: ship in minutes, scale affordably to hundreds of billions of vectors.

Elastic introduces serverless Vector Database: ship in minutes, scale affordably to hundreds of billions of vectors. September 11, 2026 Optimized defaults for fast, best-in-class vector search out of the box SAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC) today announced Elasticsearch Vector Database, a new serverless offering purpose-built for large-scale vector search and AI applications. Elasticsearch is already one of the most widely used platforms for vector workloads worldwide and now developers get an optimized database with expert-tuned defaults to build high-quality vector search applications quickly. Developers bring their documents and queries, and Elastic handles the embeddings, tuning, and infrastructure underneath. Building a vector-based application today means stitching together multiple parts of the retrieval pipeline: chunking documents, setting up and hosting embedding and reranking models, configuring indexes, storing vectors efficiently, wiring query-time embeddings and rerankers, and retrieving documents behind the matches. Each step adds operational overhead as data volumes grow, with most pure-play vector databases adding unpredictable pricing on top. Elasticsearch Vector Database handles all of this automatically without the runaway costs: * The right defaults, already set: Expert-tuned, production-grade defaults determine how vectors are stored, indexed and merged, with optimized instance types built for vector workloads. Developers don't need weeks of manual tuning to get fast vector search working. A single field type handles indexing, embeddings, and chunking, so users get semantic search without building an embedding pipeline. Hybrid search is built in, allowing developers to combine full-text and vector retrieval in one query. * High-quality relevance, out of the box: Vector and keyword search run across text, image and multi-modal vectors on one index. Developers can use their own models or Jina AI embedding and reranking models on managed GPUs through the Elastic Inference Service, with no embedding pipeline or model servers to operate, to achieve best-in-class relevance. * Scale to hundreds of billions of vectors with predictable costs: Elasticsearch Vector Database combines optimized instance types and automatic quantization through Elastic's Better Binary Quantization, which shrinks vector memory by up to 32x while keeping search fast and recall high. Pricing is based on data and search capacity, with no opaque compute units and no charges for background operations. Together, these optimizations help developers ship applications faster while keeping costs low. "Developers building AI applications shouldn't need to become infrastructure engineers to get vector search working," said Ajay Nair, general manager, Elasticsearch and Platform, Elastic. "Elasticsearch has powered vector workloads at scale for years. Today's launch takes what we've learned from those deployments and puts it behind an experience optimized for RAG, agents and semantic search, all without the infrastructure overhead or bill surprises that come with most vector solutions." Availability Elasticsearch Vector Database is available now on Elastic Cloud Serverless. Start a free trial here, create a new serverless project, and select the Vector Database use case to reach a running vector query in minutes. Additional Materials About Elastic Elastic (NYSE: ESTC) integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. The Elasticsearch Platform, which is the foundation for its search, observability, and security solutions, is used by thousands of companies, including more than 75% of the Fortune 100. Learn more at elastic.co. Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

GlobeNewswire

Sep 9th, 2026

Thrive advances NextGen platform with enhanced security architecture powered by Elastic and Cato Networks.

Thrive advances NextGen platform with enhanced security architecture powered by Elastic and Cato Networks. Platform investments strengthen Managed Detection and Response and Zero Trust access while simplifying cybersecurity for mid-market organizations. September 09, 2026 08:30 ET | Source: Thrive BOSTON, Sept. 09, 2026 (GLOBE NEWSWIRE) - Thrive, a global technology outsourcing provider for AI, cybersecurity, cloud, and IT managed services, today announced new investments in its NextGen platform through modernized security integrations from Elastic and Cato Networks. The enhancements strengthen the technology underpinning Thrive's managed security services, giving clients greater visibility, more intelligent threat detection, and modern Zero Trust access - all while reducing operational complexity. As organizations face increasingly sophisticated cyber threats and rapidly evolving IT environments, Gartner reports that nearly three-quarters of CISOs say their cybersecurity teams lack sufficient staffing. To help organizations keep pace with growing security demands, Thrive continues to invest in the technologies behind its managed services, enabling customers to benefit from enterprise-grade capabilities without the cost or complexity of building them internally. Rather than introducing standalone products, these enhancements represent Thrive's ongoing strategy of continually modernizing the platform that powers the client experience. "Building a truly NextGen managed services platform requires us to continually evaluate every layer of the technology stack and invest where we can meaningfully improve the client experience," said Bill McLaughlin, CEO of Thrive. "By bringing together best-of-breed technologies with the expertise we've built across thousands of client environments, we're delivering enterprise-grade capabilities in a way that's simpler to consume, easier to scale, and designed around better business outcomes." Modernizing Managed Detection and Response As part of this investment, Thrive has enhanced the technology foundation of its Managed Detection and Response (MDR) service with Elastic, strengthening how security data is collected, analyzed, and prioritized across customer environments. The enhanced platform enables Thrive to: * Analyze a broader range of cloud, SaaS, endpoint, network, and on-premises security data, providing a more complete view of each customer's environment. * Apply AI and machine learning to identify emerging threats while reducing false positives, enabling faster, more accurate threat detection. * Scale to support growing customer environments and increasing volumes of security telemetry without sacrificing performance or visibility. These enhancements help Thrive's 24x7 security experts focus on the activity that matters most, improving both the speed and accuracy of threat detection and response. "Security is fundamentally a data problem, but for too long, legacy constraints have forced organizations to make risk-based decisions on budget, dropping critical data and leaving blind spots where adversaries hide," said Mike Nichols, general manager, Security at Elastic. "Elastic gives Thrive the high-speed foundation to ingest and analyze security data at scale without compromise, and apply transparent, 'show-your-work' AI to automate away the mundane analyst toil. By combining our open platform with Thrive's managed expertise, we keep a critical 'human on the loop' to cut through the noise, focus on actual adversarial behavior, and respond to threats at machine speed." Advancing Secure Access with Zero Trust Thrive is also introducing Cato Networks Universal Zero Trust Network Access (UZTNA) technology into its managed security portfolio, helping organizations replace traditional VPNs with a modern approach to secure access built for today's distributed workforce technology into its managed security portfolio, helping organizations replace traditional VPNs with a modern approach to secure access built for today's distributed workforce. Instead of relying on network-based access, Cato continuously validates user identity and context, enabling Thrive to provide secure, seamless access regardless of where employees work, while reducing the complexity associated with legacy remote access technologies. Key benefits include: * Seamless application access from anywhere without relying on traditional VPN architecture. * Continuous identity validation and application-specific access controls to prevent unauthorized access and lateral movement. * Secure access for contractors and BYOD users without adding friction for IT or end users. * Reduced operational complexity through a cloud-native Zero Trust platform that simplifies ongoing management. "Secure access needs to follow the user, not the network," said Addie Finch, vice president of channels, Americas at Cato Networks. "As security and networking continue to converge, organizations are looking for platforms that apply consistent, risk-based access policies across users, devices, and applications without increasing operational burden. Together with Thrive, we're helping customers simplify secure access with a Zero Trust approach designed for today's distributed environments." These investments reflect Thrive's belief that organizations shouldn't have to choose between enterprise-grade security and operational simplicity. By continually modernizing the technologies behind its NextGen managed services platform, Thrive enables customers to benefit from the latest innovations without the complexity of managing them internally. About Thrive Thrive is a NextGen 3.0 global technology outsourcing provider that empowers small and mid-market organizations to transform their technology into a strategic advantage. Offering a breadth of services from AI and cybersecurity to cloud, compliance, and traditional MSP/MSSP solutions, Thrive's team of seasoned experts develop strategies that standardize, scale, and automate technology to achieve outsized ROI. From advisory services to a 24x7x365 SOC and NOC, Thrive provides end-to-end IT and cybersecurity management so clients can focus on innovation and growth. With Thrive, your business is always supported and always secure. Learn more at www.thrivenextgen.com or follow us on LinkedIn.

Yahoo Finance

Sep 7th, 2026

Elastic stock surges 48.3% in August on SaaS rally and strong Q1 earnings

Elastic's stock jumped 48.3% in August 2026, driven by two catalysts. The software-as-a-service company first gained 11.5% on 13 August during a sector-wide rally sparked by cooling inflation data and takeover rumours around Workday. The stock then surged 19.3% following strong quarterly results on 27 August. Revenue rose 15% year-over-year to $478 million, whilst earnings climbed 17% to $0.70 per share, both exceeding analyst expectations. The AI-driven enterprise search and cybersecurity firm reported record numbers of large contracts worth at least $100,000 annually. Usage of its premium AI features amongst large clients nearly doubled to 37% from 21% the previous year.