View Future GrowthCrowdStrike Holdings 過去の業績過去 基準チェック /06CrowdStrike Holdingsは14.5%の年平均成長率で業績を伸ばしているが、Software業界はgrowingで14.1%毎年増加している。売上は成長しており、年平均28.4%の割合である。主要情報14.54%収益成長率17.15%EPS成長率Software 業界の成長36.30%収益成長率28.37%株主資本利益率-0.22%ネット・マージン-0.60%前回の決算情報30 Apr 2026最近の業績更新更新なしすべての更新を表示Recent updatesお知らせ • Jul 15CrowdStrike Announces Appointment of AJ Shipley as Chief Product OfficerCrowdStrike appointed AJ Shipley as Chief Product Officer. Shipley now led CrowdStrike's product organization, accelerating innovation across the CrowdStrike Falcon platform to advance the company’s mission of stopping breaches and securing the world’s adoption of AI. Shipley brings more than two decades of experience building category-defining cybersecurity products. He joins CrowdStrike from Splunk Security, where he served as Chief Product Officer. Previously, Shipley led product management for Cisco's Threat Detection and Response portfolio, spanning XDR, EDR, NDR, email security, and vulnerability management. He built Cisco XDR from the ground up and drove the due diligence and investment thesis behind the company’s $28 billion acquisition of Splunk. Earlier, Shipley held senior product leadership roles at Palo Alto Networks. Across his career, Shipley has built, scaled, and transformed security platforms – and joins CrowdStrike at the defining inflection point in cybersecurity's history.お知らせ • Jun 16CrowdStrike Unveils Continuous Identity For AI AgentsCrowdStrike announced Continuous Identity for AI Agents, a new CrowdStrike Falcon Next-Gen Identity Security capability that reinforces the CrowdStrike Falcon platform as the identity security control plane for the agentic enterprise. CrowdStrike delivers a fundamentally different model: every agent action continuously authorized in real time based on who owns the agent, who is calling it, and the risk posture of their device – evaluated against native and third-party risk signals on the Falcon platform. Continuous Identity for AI Agents – powered by technology from CrowdStrike's recent acquisition of SGNL – dynamically grants, denies, and revokes access based on real-time risk, eliminating standing privileges entirely. Verifiable Agent Identity: Every agent is assigned a cryptographically verifiable identity based on the SPIFFE standard, an open standard that replaces static credentials like API keys with automated, secure workload identities. Context-Aware Authorization: Access is evaluated based on who owns the agent, who is calling it, and the risk posture of their device. When an agent delegates to a sub-agent, that context is preserved throughout the chain. Zero Standing Privilege: Access is granted the moment it’s needed and revoked the moment it’s not. Defense in Depth: Continuous Identity ensures agents operate with only the privileges they need. Falcon AI Detection and Response (AIDR) continuously inspects prompts and intent to detect permission misuse or attempts to manipulate an LLM beyond its authorized scope, triggering Continuous Identity to revoke access before damage is done. Continuous Identity for AI Agents extends CrowdStrike’s risk-aware authorization across every identity – human, non-human, and AI agent – from initial access to privilege escalation and lateral movement spanning on-prem, SaaS, browser, and cloud environments.お知らせ • Jun 04+ 2 more updatesCrowdStrike Holdings, Inc. Provides Earnings Guidance for the Second Quarter of Fiscal 2027 ending July 31, 2026CrowdStrike Holdings, Inc. provided earnings guidance for the second quarter of fiscal 2027 ending July 31, 2026. For the quarter, the company expects Total revenue to be in the range of $1,436.0 million to $1,442.0 million.お知らせ • May 28CrowdStrike Announces Next Evolution of Project QuiltWorks, Extending Industry Framework from Securing Frontier AI Risk to Mitigating Financial ExposureCrowdStrike announced the next evolution of Project QuiltWorks, extending the industry framework from securing frontier AI risk to mitigating financial exposure. As frontier AI accelerates vulnerability discovery and compresses exploitation timelines, leaders from the cyber insurance industry – Coalition, Liberty Mutual Insurance, Lockton, Resilience, and Marsh – bring actuarial intelligence, underwriting expertise, and financial protection to the framework. QuiltWorks is the industry's first model that spans technical discovery and prioritization, expert remediation, and financial mitigation – giving organizations and their boards a complete picture of frontier AI exposure and a coordinated framework to act on it. Frontier AI is reshaping the economics of cyber risk, accelerating vulnerability discovery, compressing exploitation timelines, and expanding organizations' financial exposure to attacks. Insurers are raising the bar, and, through Project QuiltWorks, helping organizations build the security controls, visibility, and remediation frameworks they need to obtain and maintain coverage. Powered by frontier models from OpenAI and Anthropic, Project QuiltWorks combines CrowdStrike’s AI-driven vulnerability discovery and adversary-informed prioritization with remediation services from the world’s top systems integrators. With the addition of leading cyber insurers and brokers, the framework extends beyond technical risk reduction to financial risk modeling, underwriting intelligence, and coordinated financial mitigation. The result is a coordinated model that gives insurers the confidence to underwrite frontier AI risk and organizations the protection to mitigate it. Financial Risk Modeling: Actuarial expertise and insurer risk intelligence helps organizations – and their boards – gain a precise measure of their financial exposure to frontier AI risk. Exposure Prioritization: Adversary intelligence, vulnerability telemetry, and underwriting insights combine to prioritize the exposures most likely to drive operational and financial loss – going beyond CVSS scores to what adversaries and insurers both know matters most. Underwriting Confidence: Continuous visibility into risk exposure and proven remediation frameworks give insurers the intelligence to confidently underwrite frontier AI risk, and organizations a clear path to obtaining and maintaining the coverage their business demands. Coordinated Risk Mitigation: CrowdStrike, insurers, and ecosystem partners create a continuous feedback loop – combining AI-driven vulnerability discovery, adversary intelligence, expert-led remediation, and claims data – to identify, prioritize, remediate, and financially mitigate frontier AI risk at scale. CrowdStrike Project QuiltWorks is now available.収支内訳CrowdStrike Holdings の稼ぎ方とお金の使い方。LTMベースの直近の報告された収益に基づく。収益と収入の歴史BASE:CRWDD 収益、費用、利益 ( )USD Millions日付収益収益G+A経費研究開発費30 Apr 265,094-302,5421,44631 Jan 264,812-1632,4801,36831 Oct 254,565-3042,4151,32231 Jul 254,341-2872,3021,25030 Apr 254,136-1622,1541,17131 Jan 253,954-152,0041,07631 Oct 243,7401271,84497631 Jul 243,5161701,70189630 Apr 243,2841321,62382531 Jan 243,056721,53578031 Oct 232,848-121,47274631 Jul 232,642-931,40470630 Apr 232,446-1511,32466431 Jan 232,241-1831,22260831 Oct 222,035-1781,12752231 Jul 221,834-1731,02446430 Apr 221,637-18192441731 Jan 221,452-23584037131 Oct 211,286-21275333231 Jul 211,138-18666729230 Apr 21999-15858725231 Jan 21874-9352321531 Oct 20762-10247418731 Jul 20654-11342916630 Apr 20563-13540014731 Jan 20481-14235613031 Oct 19410-14531711431 Jul 19351-15128710330 Apr 19299-1322409131 Jan 19250-1402158531 Oct 18208-1511937831 Jan 18119-1411375931 Jan 1753-1087039質の高い収益: CRWDDは現在利益が出ていません。利益率の向上: CRWDDは現在利益が出ていません。フリー・キャッシュフローと収益の比較過去の収益成長分析収益動向: CRWDDは利益を出していないが、過去 5 年間で年間14.5%の割合で損失を削減してきた。成長の加速: CRWDDの過去 1 年間の収益成長を 5 年間の平均と比較することはできません。現在は利益が出ていないためです。収益対業界: CRWDDは利益が出ていないため、過去 1 年間の収益成長をSoftware業界 ( 11.8% ) と比較することは困難です。株主資本利益率高いROE: CRWDDは現在利益が出ていないため、自己資本利益率 ( -0.22% ) はマイナスです。総資産利益率使用総資本利益率過去の好業績企業の発掘7D1Y7D1Y7D1YSoftware 、過去の業績が好調な企業。View Financial Health企業分析と財務データの現状データ最終更新日（UTC時間）企業分析2026/07/23 22:03終値2026/07/23 00:00収益2026/04/30年間収益2026/01/31データソース企業分析に使用したデータはS&P Global Market Intelligence LLC のものです。本レポートを作成するための分析モデルでは、以下のデータを使用しています。データは正規化されているため、ソースが利用可能になるまでに時間がかかる場合があります。パッケージデータタイムフレーム米国ソース例会社財務10年損益計算書キャッシュ・フロー計算書貸借対照表SECフォーム10-KSECフォーム10-Qアナリストのコンセンサス予想+プラス3年予想財務アナリストの目標株価アナリストリサーチレポートBlue Matrix市場価格30年株価配当、分割、措置ICEマーケットデータSECフォームS-1所有権10年トップ株主インサイダー取引SECフォーム4SECフォーム13Dマネジメント10年リーダーシップ・チーム取締役会SECフォーム10-KSECフォームDEF 14A主な進展10年会社からのお知らせSECフォーム8-K* 米国証券を対象とした例であり、非米国証券については、同等の規制書式および情報源を使用。特に断りのない限り、すべての財務データは1年ごとの期間に基づいていますが、四半期ごとに更新されます。これは、TTM（Trailing Twelve Month）またはLTM（Last Twelve Month）データとして知られています。詳細はこちら。分析モデルとスノーフレークこのレポートを生成するために使用した分析モデルの詳細は、当社のGitHubページでご覧いただけます。また、レポートの活用方法に関するガイドやYouTubeのチュートリアルも用意しています。シンプリー・ウォールストリート分析モデルを設計・構築した世界トップクラスのチームについてご紹介します。業界およびセクターの指標私たちの業界とセクションの指標は、Simply Wall Stによって6時間ごとに計算されます。アナリスト筋CrowdStrike Holdings, Inc. 51 これらのアナリストのうち、弊社レポートのインプットとして使用した売上高または利益の予想を提出したのは、 。アナリストの投稿は一日中更新されます。69 アナリスト機関Adam ShepherdArete Research Services LLPEllie BagshawArete Research Services LLPShrenik KothariBaird66 その他のアナリストを表示
お知らせ • Jul 15CrowdStrike Announces Appointment of AJ Shipley as Chief Product OfficerCrowdStrike appointed AJ Shipley as Chief Product Officer. Shipley now led CrowdStrike's product organization, accelerating innovation across the CrowdStrike Falcon platform to advance the company’s mission of stopping breaches and securing the world’s adoption of AI. Shipley brings more than two decades of experience building category-defining cybersecurity products. He joins CrowdStrike from Splunk Security, where he served as Chief Product Officer. Previously, Shipley led product management for Cisco's Threat Detection and Response portfolio, spanning XDR, EDR, NDR, email security, and vulnerability management. He built Cisco XDR from the ground up and drove the due diligence and investment thesis behind the company’s $28 billion acquisition of Splunk. Earlier, Shipley held senior product leadership roles at Palo Alto Networks. Across his career, Shipley has built, scaled, and transformed security platforms – and joins CrowdStrike at the defining inflection point in cybersecurity's history.
お知らせ • Jun 16CrowdStrike Unveils Continuous Identity For AI AgentsCrowdStrike announced Continuous Identity for AI Agents, a new CrowdStrike Falcon Next-Gen Identity Security capability that reinforces the CrowdStrike Falcon platform as the identity security control plane for the agentic enterprise. CrowdStrike delivers a fundamentally different model: every agent action continuously authorized in real time based on who owns the agent, who is calling it, and the risk posture of their device – evaluated against native and third-party risk signals on the Falcon platform. Continuous Identity for AI Agents – powered by technology from CrowdStrike's recent acquisition of SGNL – dynamically grants, denies, and revokes access based on real-time risk, eliminating standing privileges entirely. Verifiable Agent Identity: Every agent is assigned a cryptographically verifiable identity based on the SPIFFE standard, an open standard that replaces static credentials like API keys with automated, secure workload identities. Context-Aware Authorization: Access is evaluated based on who owns the agent, who is calling it, and the risk posture of their device. When an agent delegates to a sub-agent, that context is preserved throughout the chain. Zero Standing Privilege: Access is granted the moment it’s needed and revoked the moment it’s not. Defense in Depth: Continuous Identity ensures agents operate with only the privileges they need. Falcon AI Detection and Response (AIDR) continuously inspects prompts and intent to detect permission misuse or attempts to manipulate an LLM beyond its authorized scope, triggering Continuous Identity to revoke access before damage is done. Continuous Identity for AI Agents extends CrowdStrike’s risk-aware authorization across every identity – human, non-human, and AI agent – from initial access to privilege escalation and lateral movement spanning on-prem, SaaS, browser, and cloud environments.
お知らせ • Jun 04+ 2 more updatesCrowdStrike Holdings, Inc. Provides Earnings Guidance for the Second Quarter of Fiscal 2027 ending July 31, 2026CrowdStrike Holdings, Inc. provided earnings guidance for the second quarter of fiscal 2027 ending July 31, 2026. For the quarter, the company expects Total revenue to be in the range of $1,436.0 million to $1,442.0 million.
お知らせ • May 28CrowdStrike Announces Next Evolution of Project QuiltWorks, Extending Industry Framework from Securing Frontier AI Risk to Mitigating Financial ExposureCrowdStrike announced the next evolution of Project QuiltWorks, extending the industry framework from securing frontier AI risk to mitigating financial exposure. As frontier AI accelerates vulnerability discovery and compresses exploitation timelines, leaders from the cyber insurance industry – Coalition, Liberty Mutual Insurance, Lockton, Resilience, and Marsh – bring actuarial intelligence, underwriting expertise, and financial protection to the framework. QuiltWorks is the industry's first model that spans technical discovery and prioritization, expert remediation, and financial mitigation – giving organizations and their boards a complete picture of frontier AI exposure and a coordinated framework to act on it. Frontier AI is reshaping the economics of cyber risk, accelerating vulnerability discovery, compressing exploitation timelines, and expanding organizations' financial exposure to attacks. Insurers are raising the bar, and, through Project QuiltWorks, helping organizations build the security controls, visibility, and remediation frameworks they need to obtain and maintain coverage. Powered by frontier models from OpenAI and Anthropic, Project QuiltWorks combines CrowdStrike’s AI-driven vulnerability discovery and adversary-informed prioritization with remediation services from the world’s top systems integrators. With the addition of leading cyber insurers and brokers, the framework extends beyond technical risk reduction to financial risk modeling, underwriting intelligence, and coordinated financial mitigation. The result is a coordinated model that gives insurers the confidence to underwrite frontier AI risk and organizations the protection to mitigate it. Financial Risk Modeling: Actuarial expertise and insurer risk intelligence helps organizations – and their boards – gain a precise measure of their financial exposure to frontier AI risk. Exposure Prioritization: Adversary intelligence, vulnerability telemetry, and underwriting insights combine to prioritize the exposures most likely to drive operational and financial loss – going beyond CVSS scores to what adversaries and insurers both know matters most. Underwriting Confidence: Continuous visibility into risk exposure and proven remediation frameworks give insurers the intelligence to confidently underwrite frontier AI risk, and organizations a clear path to obtaining and maintaining the coverage their business demands. Coordinated Risk Mitigation: CrowdStrike, insurers, and ecosystem partners create a continuous feedback loop – combining AI-driven vulnerability discovery, adversary intelligence, expert-led remediation, and claims data – to identify, prioritize, remediate, and financially mitigate frontier AI risk at scale. CrowdStrike Project QuiltWorks is now available.