Booz Allen Hamilton Holding Corporation
BAH · NYSE Arca · United States
boozallen.comFinancials as of FY2026
A consulting and technology firm supplying expert, security-cleared labor to government missions, earning mainly by billing the cost or hours of that work rather than selling a product.
- Returns appear driven by leverage
- Depends onMidstream position: 5 outgoing, 6 incoming connections
- ScaleMarket cap is $8.77B, above the global median of $1.18B
- FinancialsAltman Z-Score 3.88: safe zone
- Interpretations7 currently firing — 7
What this company is and how it runs — written from structure, not news.
The system sits in the middle of a chain: it takes in technology from commercial innovators, ranging from large technology platforms to venture-backed and defense-technology firms, combines that with its own technical expertise, interprets what a government or business mission actually needs, and turns the combination into deployed systems, analysis, and staff embedded in the customer's operations, working inside rules set by government procurement and security-clearance regimes.
Most revenue comes from government contracts that reimburse allowed costs plus a fee, so the customer, not the company, absorbs most cost-overrun risk on that portion of the book. A smaller share is billed by hours worked at agreed rates, and a smaller share still is billed at a price fixed in advance, which shifts cost risk onto the company for that portion. The company reports its results as a single business rather than splitting revenue by line of business.
Its financial shape is asset-light: revenue and returns run high relative to a small base of physical assets, consistent with a system that grows by adding and deploying people against contracts rather than by building factories or equipment. Some of its measured return on equity is mechanically raised, both by carrying debt and by having bought back enough of its own stock to shrink the equity base those returns are measured against. Returns measured directly against the asset base, not just against equity, are also elevated, which means the elevated equity returns are not fully explained by those mechanical effects alone. Net income has stayed positive across every year on file, consistent with a business that has scaled without relying on sustained losses.
By its own account, the business depends on continued government spending and on holding positions on specific procurement vehicles, on a supply of personnel who can obtain and keep security clearances, on subcontractors for parts of the work, and on some inputs sourced from other countries. It also depends on converting already-signed backlog into funded, staffed assignments, rather than simply winning new work.
Its named customers are concentrated among defense, intelligence, and military missions, including the Department of Veterans Affairs, the National Security Agency, the Defense Intelligence Agency, and the U.S. military branches, and at least one of them is large enough on its own to matter to total revenue. Those missions depend on the company for embedded technical staff and delivered systems, and that dependency sits within one buyer sector rather than spreading evenly across many unrelated customers.
CompanyGraph maps this business into a broader cluster of companies that run the same general kind of expertise-driven, judgment-based system, so this shape of business is not rare within CompanyGraph's mapping. The company itself claims its edge comes from cleared and technically skilled staff, established customer relationships, and a long record of past performance on government work, along with a claimed leading position in government artificial-intelligence projects. These are the company's own claims about itself; CompanyGraph has no independent basis to confirm whether rivals can or cannot replicate them.
A large part of its reported future work already sits inside existing contracts as priced options for additional years, which a government customer can exercise without running a new competition, rather than as work that must be rebid from scratch. The company also treats its position on specific government contract vehicles as something that can be lost, which implies that being awarded onto those vehicles in the first place is a gate a new vendor has to clear before a customer could switch to it. Together, these features make continuing with the existing contractor procedurally simpler than starting over with a different one.
By its own account, the business is limited less by finding customers and more by finding, clearing, and deploying enough qualified staff against the work it has already signed. Its own disclosures point to a second, related limit: how quickly government budgets and contract-award processes turn its backlog of signed work into funded, staffed assignments, since slower budget cycles or lost positions on procurement vehicles restrict how much of that backlog can convert into active revenue.
The vulnerabilities the company itself discloses point in one direction: revenue concentrated in a single large government customer and in the defense and intelligence buyer sector generally, continued dependence on government procurement spending and on holding specific contract-vehicle positions, and reliance on subcontractors and some foreign-sourced inputs for critical parts, alongside exposure to cybersecurity incidents and to government audits or investigations of its own contracting practices. These risks share a common shape: reduced government spending, a lost contract-vehicle position, a shortfall in cleared staff, or an adverse compliance finding would each press on the same concentrated point rather than on a spread-out base.
The business operates under oversight from securities regulators and from auditors and inspectors specific to defense contracting, plus compliance regimes covering acquisition rules, cost accounting, cybersecurity certification, personnel security clearances, export controls, and sanctions. Recurring government audits and investigations into how it reports labor time, handles procurement integrity, and manages access to classified information are disclosed as an ongoing feature of operating under this regime rather than as one-off events.
Read from the company's own filings and public materials (gathered August 2026) together with figures CompanyGraph recomputed from its statements. Written August 2026. A question with no evidence behind it is left out rather than answered.
Sign in to view price data.
Sign inWhat the company actually pays, and whether its own cash supports it.
The reported statements, read against the company's own industry.
- Returns appear driven by leverage
7 interpretations currently present — each is a set of fired observations whose alignment reads as one structural pattern. Click an observation to see the numbers behind it.
Screen for these patternsHow does this company use capital?
Elevated ROE With High Debt-to-Equity and Equity Multiplier
Return on equity reads high on a balance sheet carrying a lot of debt against that equity.
Three Asset-Base Ratios Elevated
It gets more sales from its assets than its industry does, and a lot of profit from them too.
Cumulative Treasury Stock Significant With Elevated ROE And FCF-To-Equity
It has bought back shares for years, and its equity earns more than its industry and yields heavy free cash flow.
FCF Ratios Elevated
Its free cash flow is large next to assets and equity, and more of its operating cash reaches it than in its industry.
Industry-Benchmarked Return on Capital Elevated
It earns more on its assets and its equity than its industry, and gets more sales from those assets.
Low Fixed-Asset Share With Elevated Turnover
It owns few buildings and machines, yet gets more sales and profit from its assets than its industry does.
ROE, ROA, And Operating ROA Elevated
It earns more on its equity than its industry does, and on its assets too — not on borrowing alone.
An interpretation is present only while every observation it reads stays fired (score ≥ 70). It describes what the aligned readings show — never a verdict, never a prediction.
Shared structure with peers — never a ranking.
Structural observations derived from financial data, industry benchmarks, and supply chain position.
Structural Tensions
Financial Health
Supply Chain
Scale
Companies that share the same coordination system — how they create, deliver, or capture value.
Companies that share active interpretations — structural patterns currently present in both stocks.