Discover the full management transaction log of DLH Holdings Corp., a publicly traded company based in United States. Shares are quoted on US US, under the oversight of SEC (Form 4). Operating in the Business Services sector, DLH Holdings Corp. has published 36 insider filings. Market capitalisation: €81.9m. The latest transaction was filed on 14 May 2026 — Acquisition. Among the most active insiders: Mink Brook Asset Management LLC. Every trade is openly available.
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DLH Holdings Corp. (ticker: DLHC) is a U.S.-listed company traded on the NASDAQ market in the United States. It operates as a specialized federal services contractor focused on technology-enabled mission support for government customers, especially in public health, science and research, systems engineering, digital modernization, and cybersecurity. For francophone investors, DLH should be viewed less as a pure software company and more as an execution-driven services provider that monetizes long-duration federal programs and domain expertise. ([investors.dlhcorp.com](https://investors.dlhcorp.com/?utm_source=openai)) The company traces its roots back to 1969, when it was originally incorporated in New Jersey as a payroll staffing business. Over time, DLH transformed its business model toward higher-value specialized federal services, and in 2012 it changed its corporate name to DLH Holdings Corp. The strategic repositioning reflects a broader shift from labor-oriented staffing toward mission-critical solutions and technical services. Today, DLH is headquartered in Atlanta, Georgia, while also maintaining a National Capital Region headquarters in Bethesda, Maryland, which places it close to key federal decision-makers and contracting agencies. ([investors.dlhcorp.com](https://investors.dlhcorp.com/static-files/d6f83121-b168-4a44-bad7-a34269623b0b?utm_source=openai)) DLH’s operating platform is organized around integrated business areas that include healthcare and public health support, scientific research and development, systems engineering and integration, and digital transformation and cyber solutions. The company highlights capabilities in cloud-based applications, advanced analytics, artificial intelligence, telehealth systems, and cybersecurity readiness. This mix positions DLH to address recurring federal demand for modernization, operational resilience, and specialized mission support across health and defense-adjacent environments. ([investors.dlhcorp.com](https://investors.dlhcorp.com/?utm_source=openai)) In competitive terms, DLH participates in a crowded federal contracting landscape where scale, compliance, and domain specialization matter. It competes with larger integrators and specialized government services firms, but its niche positioning is supported by deep exposure to public health and health security missions, as well as long-standing relationships with agencies such as the CDC and the broader federal health and human services ecosystem. The company has also described material exposure to veterans’ affairs and Department of Defense-related portfolios, although the exact mix can shift as legacy programs transition and new awards are captured. ([investors.dlhcorp.com](https://investors.dlhcorp.com/news-releases/news-release-details/dlh-wins-five-year-public-health-preparedness-and-response?utm_source=openai)) Recent developments underscore the company’s current operating priorities. On May 6, 2026, DLH reported fiscal second-quarter 2026 results and said revenue trends were affected in part by the transition of legacy programs to small-business set-aside contractors. Management emphasized cost-scaling initiatives, margin resilience, debt reduction, and expected cash generation improvements in the second half of fiscal 2026. The company also pointed to continued demand for digital modernization, cybersecurity, and AI-related capabilities, which remain important growth themes in the U.S. federal market. ([investors.dlhcorp.com](https://investors.dlhcorp.com/news-releases/news-release-details/dlh-reports-fiscal-2026-second-quarter-results?utm_source=openai))