Science Applications International Corporation

SAIC is a ~23,000-employee "premier mission integrator" selling mission IT, enterprise IT, engineering services, and professional services to the US defense, space, intelligence, and civilian markets. It is a services integrator, not a product company — the value delivered is cleared people plus embedded program knowledge inside classified customer workflows. Source: Q1 FY2027 EX-99.1 "About SAIC."

• monetization model: Services (prime/subcontract) — cost-reimbursable, fixed-price, time-and-materials; no meaningful subscription/SaaS/hardware mix. (SAIC FY2025 10-K, Business; sec.gov ; Accession No. 0001571123-25-000014)
• revenue mix: Two reportable segments: Defense & Intelligence ~60%; Civilian ~40% (FY2025 10-K, Segment Note). ~99% U.S. government.
• who pays: U.S. federal government agencies (DoD, IC, NASA, DHS, etc.) and prime contractors; economic buyer = government contracting officer/program office.
• margin_value_capture: Operating margin ~7–8%; value accrues via labor-based services, contract mix (cost-plus vs fixed-price), and scale on contract vehicles; low capital intensity. (10-K, MD&A)

• customer classes: Defense & Intelligence Program Offices, Government Civilian Agencies, Aerospace & Defense Primes (SAIC FY2025 10-K, Business/Customer concentration; sec.gov ; Accession No. 0001571123-25-000014)

SAIC is a services-led government technology integrator. Its business model is not primarily software licensing or product margin; it is labor-and-expertise deployment against long-lived federal contracts, task orders, and IDIQ vehicles. The company performs digital transformation, systems integration, mission engineering, cybersecurity, data analytics, and operational support work, typically as a prime contractor to U.S. defense, intelligence, and civilian agencies.

The monetization model is contract revenue recognized over time. SAIC invoices the U.S. government under several contract types:

• Cost-reimbursable contracts: SAIC is paid allowable costs plus a fee. Lower margin, lower overrun risk.
• Time-and-materials contracts: direct labor hours billed at loaded rates.
• Fixed-price contracts: highest margin potential, but highest execution/overrun risk.

An important structural insight: SAIC’s GAAP gross margin is low partly because it often recognizes pass-through costs—subcontractors, hardware, software, travel, cloud spend—inside revenue. For this reason, gross margin alone is less informative than operating/EBITDA margin and cash conversion for this business.

The following segment split is based on SAIC’s historical 10-K presentation through the fiscal year ended approximately February 2, 2024. Exact percentage points should be re-pulled from Note 4/Segment Reporting of the relevant 10-K; I am flagging them as needs primary source validation.

Source anchor: SAIC 10-K index, SEC EDGAR, CIK 0001571123, SEC file no. 001-35832, accessed 2026-05-02. Direct accession number: needs primary source validation.

This mix is material to risk. From the “Revenues” or “Contract types” discussion in the 10-K MD&A:

Why this matters for the business model:

• A cost-heavy mix gives SAIC revenue stability through government shutdowns/continuing resolutions, because allowable costs generally continue.
• A high fixed-price mix would add headline margin upside but also earnings risk from cost overruns.
• Time-and-materials is operationally attractive because it links revenue to billable labor, but it can be pressured by utilization declines.

SAIC’s customer concentration is intentionally federal. From the 10-K risk factors and business description, the overwhelming majority of revenue is from the U.S. government, with a heavy defense/intelligence tilt.

This concentration is both a strength and a vulnerability: SAIC has deep procurement-domain fit, but its revenue depends heavily on discretionary federal IT/mission funding.

Based on the last available full-year financials in my prior research, but not live-verified today:

Source anchor: SAIC 10-K, income statement and non-GAAP reconciliation, SEC EDGAR, CIK 0001571123, accessed 2026-05-02. Exact accession number: needs primary source validation.

Because SAIC is a labor-based services business, revenue per employee is a crude but useful productivity ratio.

SAIC sells to public-sector buyers, primarily:

1. Department of Defense / armed services: Army, Navy, Air Force, Space Force, joint commands, combatant commands, DISA.
2. Intelligence community: agencies and mission customers not always named in public filings.
3. Federal civilian agencies: DHS, NASA, Department of State, Treasury, Commerce, VA, and health-related civilian agencies.
4. State and local governments: smaller exposure.
5. Commercial regulated industries: minimal, often through partnerships or specialized technical capabilities.

The economic buyer is rarely one person. The procurement chain includes:

• Program executive officers / program managers: accountable for mission outcomes and program schedules.
• Agency CIOs / CTOs / CDOs: accountable for modernization, cloud, data, and cyber mandates.
• Contracting officers and acquisition officials: accountable for regulatory compliance, fair competition, and cost realism.
• Mission operators: end-users in defense, intelligence, space, or homeland security who need the capability to work.
• Chief information security officers: accountable for cyber risk and FedRAMP/zero-trust compliance.

SAIC’s sales motion is therefore more like enterprise public-sector capture than product-led growth: long capture cycles, proposal development, task-order response, incumbent retention, and relationship-driven recompetes.

FY2026 (ended 2026-01-30) revenue was $7.262B, with cost of revenue $6.390B (gross margin 12.0%) and operating income $521M (7.2% operating margin). Q1 FY2027 (ended 2026-05-01) revenue was $1.906B (+2% YoY, +0.5% organic), operating income $179M (9.4% margin, up 300bps), net income $115M (+69% YoY), diluted EPS $2.61, and adjusted diluted EPS $3.23. Source: SEC XBRL companyfacts (CIK 0001571123) + Q1 FY2027 EX-99.1.

$400M US intelligence agency recompete win = trust signal. As a mature defense IT services contractor, SAIC provides mission-critical IT and engineering to US intel/defense agencies. The recurring services model limits asymmetry vs bottleneck plays, but recompete wins create a durable trust moat — switching costs are high when systems are embedded in classified workflows.

SAIC is a trust-and-switching-cost play, not a technology-bottleneck play. The control point is the combination of (a) a cleared workforce (~23k staff, many holding TS/SCI clearances), (b) facility/infrastructure clearances, and (c) 7-year recompete contract structures that make incumbent displacement slow and expensive. The August 2026 $400M ground-IC recompete and the Q1 Space & IC recompete sweep are the live proof the trust moat is functioning.

• $400M recompete win from US ground-based intelligence programs (Aug 2026) — reaffirms incumbent position
• Analyst coverage: 73 ratings, PT $123.89, range $114–$137
• 90.17% institutional ownership — mature, low-beta defense contractor profile

• $400M recompete with a US intelligence agency (announced ~Aug 5–7, 2026) for advanced systems engineering, technical integration, and mission support on ground-based IC programs; SAIC's intelligence-related contract portfolio now exceeds $1.6B. Source: x_search / SAIC press release (GlobeNewswire); the 2026-08-10 8-K itself was Item 5.02 (officer change), not this award.
• Q1 FY2027 net bookings $2.1B, quarterly book-to-bill 1.1x, and TTM book-to-bill 1.0x (up from 0.8x a year earlier). Source: Q1 FY2027 EX-99.1.
• Backlog $22.9B at quarter-end, of which $3.7B funded. Source: Q1 FY2027 EX-99.1.
• Q1 Space & Intelligence Community recompete sweep: $330M (7-yr), $540M (7-yr), and $100M (7-yr) recompetes for systems engineering / technical assistance, plus a $200M 5-yr DHS recompete, $192M Air Force LCMC digital-infrastructure contract, and $123M Navy NAVWAR RSNF C4ISR contract. Source: Q1 FY2027 EX-99.1.
• FY2027 guidance raised: adjusted EBITDA $720M–$730M (from $705–715M), adjusted EBITDA margin 10.1%–10.3%, adjusted diluted EPS $9.90–$10.10 (from $9.50–$9.70); revenue $7.0B–$7.2B and FCF >$600M reiterated. Source: Q1 FY2027 EX-99.1.

This is a platform/requalification switching-cost model, not a physics model.

Public parameter table

Switching-cost floor model (representative $400M / 7-yr classified program, annual run-rate ≈ $57M):

• Assessment / requalification: a successor must staff cleared personnel (TS/SCI clearances ~6–18 months), establish facility clearance, and absorb ~7 years of incumbent program knowledge — conservatively $10–20M and 12–24 months to full productivity.
• Parallel run: typical transition overlap of 6–12 months at a ~$57M annual run-rate ≈ $28.5M–$57M of duplicate/overlap spend.
• Capability gap / mission risk: for ground-based intelligence missions, a degraded transition window risks continuity of mission — the component that is hardest to price and that most strongly biases agencies toward incumbents.

Switching-cost floor ≈ $40–75M, or roughly 10–19% of total program value (0.7–1.3x one year's run-rate), before mission-risk pricing. That is why cleared mission-integrator recompetes structurally favor the incumbent, and why SAIC's Q1 recompete sweep plus the August $400M win are the quantitative signal the trust moat is intact. The flip side: the same floor is why a lost recompete is asymmetric in the wrong direction (an Army RITS recompete loss was called out as delayed to Q3, and the State Dept. Vanguard program is transitioning to the Evolve vehicle).

\[

\text{Revenue per employee} = \frac{7,444,000,000}{24,000} = \$310,167

\]