NYQ·Technology·$2.0B·#260 / 282 in Technology

BBAI BigBear.ai, Inc.

33HIGH RISK

CATEGORY BREAKDOWN

GROWTH0
QUALITY18
STABILITY86
VALUATION25
GOVERNANCE4

METRIC BREAKDOWN

Revenue Growth (YoY)

Year-over-year revenue growth rate

-19.3%
0

> 50% strong

Gross Margin

Revenue retained after direct costs

22.3%
30

> 50% strong

Cash Runway

Months of cash at current burn rate

25 months
86

> 24 months ideal

Debt / Equity

Total debt relative to shareholder equity

18.8%
85

< 25% strong

Price / Sales

Market cap relative to trailing revenue

15.8x
25

< 3x strong

Rule of 40

Growth rate plus operating margin

-85
0

> 40 excellent

Insider Ownership

Percentage of shares held by insiders

0.7%
5

> 20% strong

Share Dilution (12M)

Share count increase over last 12 months

+60.2%
0

< 5% ideal

SCORE HISTORY

RESEARCH NOTE

BUSINESS SUMMARY

BigBear.ai provides AI-and-data-analytics software and services to government, defense, and intelligence customers — the strategic positioning is at the intersection of AI-platform capabilities and the federal-government contracting market.

The product portfolio spans decision-support analytics, computer-vision platforms for defense applications, and supply-chain-and-logistics-optimization software for federal-civilian and DoD customers. Customers include Department of Defense components, intelligence-community agencies, and federal-civilian agencies with operational analytics requirements.

Revenue is government contract revenue earned through a combination of prime-contracts and subcontract arrangements. The mix between recurring software-licensing and one-time-services-and-implementation revenue has been a strategic focus for management.

MARKET OPPORTUNITY

The federal AI-and-analytics market is structurally significant:

  • DoD AI investment has been growing across multiple programs (JADC2 Joint All-Domain Command and Control, various analytics-and-decision-support initiatives)
  • Intelligence community AI adoption drives demand for platforms that handle classified-and-sensitive workloads
  • Federal-civilian agency analytics (DHS, DOL, others) provides additional addressable market

Competition is intense at this intersection of AI-platform and federal-contracting. Palantir is the dominant scaled competitor plus various traditional defense-prime AI/analytics offerings (Lockheed Martin, Booz Allen Hamilton, etc.) and emerging AI-platform companies pursuing federal contracts.

Revenue growth has been variable with federal-contract-timing dominating quarterly results.

REVENUE QUALITY

  • Revenue ~$160M TTM — meaningful absolute scale
  • Gross margin — pressured by services-revenue mix; pure-software economics are a smaller mix component
  • Operating margin — TTM negative; capital-structure discipline has been an ongoing focus
  • P/S ~12 — premium reflecting AI-thematic-investor demand

The economic profile is closer to government-services than to pure-software despite the AI-platform-positioning.

COMPETITIVE ADVANTAGE

BigBear.ai's defensible position is federal-agency-relationship depth combined with security-clearance-eligible-workforce:

  • Federal-customer-relationships with multiple agencies that take years to qualify for and maintain
  • Cleared-workforce-base that can operate in classified environments
  • Domain-expertise in specific federal-mission areas (defense logistics, intelligence-analytics)

The vulnerability: at the AI-platform-tier, BigBear.ai competes against Palantir (much larger, dominant in similar use cases) and traditional defense primes (much larger scale, broader contract-portfolio). At the AI-services-and-implementation tier, the company competes against scaled federal-services contractors.

GROWTH THESIS

Three structural drivers support potential multi-year growth:

  1. Federal AI-program funding expansion as DoD and intelligence community continue increasing AI investment
  2. Software-revenue-mix expansion versus services revenue, supporting margin recovery
  3. Capital-structure improvement if operational execution converts to sustained operating-profit

Each is necessary but uncertain; the compound probability has not been particularly favorable historically.

KEY RISKS

  1. Palantir competitive pressure. PLTR is much larger, with broader federal-customer base and stronger AI-platform-positioning. BigBear.ai's structural disadvantage is real and compounds over time.

  2. Federal-budget-cycle pressure. Continuing-resolution dynamics, budget-cap negotiations, and congressional-spending decisions affect federal IT-and-AI spending unpredictably.

  3. Capital-structure pressure. BigBear.ai has had ongoing capital-structure challenges including debt-restructuring and meaningful share-issuance activity. Continued financing pressure could trigger further dilution.

VERDICT

BigBear.ai is a federal-AI-and-analytics company with substantial scale-disadvantage versus Palantir at the platform-tier and versus traditional defense primes at the services-tier. The 33.2/100 score captures the operational-execution challenges that fundamental-screening identifies.

For investors with specific conviction on BigBear.ai's positioning differentiation in particular federal-mission areas and willingness to underwrite continued capital-structure pressure, BBAI offers leveraged-exposure to federal-AI-thematic. For investors wanting AI-platform-exposure with category leadership, Palantir is the dominant alternative despite the higher valuation.

Report last updated: May 5, 2026

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DATA INFO

Last updated: May 4, 2026

Sources: SEC EDGAR, Financial Modeling Prep, Yahoo Finance. Not financial advice.