Explore the full management transaction log of Science Applications International Corp, a publicly traded company based in United States. Shares are quoted on US US, under the supervision of SEC (Form 4). Operating in the Defense & Aerospace sector, Science Applications International Corp has published 82 public disclosures. Market capitalisation: €4.5bn. The latest transaction was filed on 9 June 2022 — Attribution. Among the most active insiders: O'Hara Michelle A.. Every trade is accessible without an account.
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Science Applications International Corp. (SAIC) is a leading U.S.-based technology integrator listed on the NASDAQ market in the United States. For French-speaking investors, SAIC is best understood as a defense-and-government-services platform rather than a conventional software company: it focuses on complex mission integration for defense, space, intelligence, and civilian federal agencies. The company is headquartered in Reston, Virginia, placing it close to the Washington, D.C. federal procurement ecosystem, which is strategically important for a contractor whose revenues are heavily tied to government programs and long-cycle contracts.([investors.saic.com](https://investors.saic.com/news-releases/news-release-details/saic-announces-fourth-quarter-and-full-fiscal-year-2026-results/?utm_source=openai)) SAIC’s roots date back to 1969 through its historical lineage in scientific and technical services for government customers. Over time, the business has evolved into a diversified federal integrator with capabilities spanning systems engineering, digital engineering, cloud modernization, cybersecurity, data analytics, artificial intelligence enablement, enterprise IT services, and sustainment of mission-critical platforms. The company serves the U.S. Army, Air Force, Navy, Marine Corps, Coast Guard, Space Force, and a broad set of civilian and intelligence organizations. In practical terms, SAIC is embedded in programs where reliability, compliance, and technical execution matter more than product standardization.([investors.saic.com](https://investors.saic.com/static-files/ffb7fb96-52f7-4e53-9553-8717710bdf17?utm_source=openai)) From a competitive standpoint, SAIC operates in a crowded market alongside other large defense IT and federal systems integrators. Its competitive advantages are rooted in long-standing customer relationships, program depth, and its ability to execute high-complexity work in regulated, security-sensitive environments. Unlike asset-light software names, SAIC is exposed to procurement timing, contract recompetes, and federal budget dynamics; however, that same exposure provides relatively sticky customer relationships and recurring support work once programs are won. The result is a business model that tends to be more defensive and government-linked than cyclical consumer or commercial IT services.([investors.saic.com](https://investors.saic.com/news-releases/news-release-details/saic-announces-fourth-quarter-and-full-fiscal-year-2026-results/?utm_source=openai)) Recent developments show a company balancing execution with near-term demand softness. In 2025 and 2026, SAIC reported quarterly results that highlighted uneven top-line performance but continued operational discipline. In February 2026, management said recent procurement delays and unfavorable award decisions would reduce expected fiscal 2026 and 2027 revenue versus prior guidance, while emphasizing ongoing investment in national-security and government-transformation solutions. In March 2026, SAIC reported fourth-quarter and full-year fiscal 2026 results and said it was focused on improving consistency in growth. In April 2026, the company announced a $75.2 million PRISM task order supporting Naval Air Systems Command, reinforcing its position in naval aviation sustainment and digital modernization. SAIC also underwent a leadership transition in 2025, with Jim Reagan becoming CEO.([investors.saic.com](https://investors.saic.com/news-releases/news-release-details/saic-announces-preliminary-unaudited-fourth-quarter-and-full?utm_source=openai))