BigBear.ai vs. Rigetti Computing: Which Technology Stock Is a Better Buy in 2026?

BigBear.ai is favored over Rigetti Computing for a speculative 2026 portfolio despite both companies posting declining revenue and substantial losses. BigBear.ai's FY2025 revenue fell 19.3% to $127.7 million, with a $293.9 million net loss and negative free cash flow of $46.3 million, but it trades at 10.2x sales versus Rigetti's 418.1x. Rigetti's FY2025 revenue declined 34.3% to $7.1 million, its net loss widened to $216.2 million, and free cash flow was negative $77.2 million, underscoring its high technical and capital-intensity risks.

Analysis

The relevant valuation distinction is not simply AI versus quantum: BBAI is a subscale government IT contractor whose equity value depends on converting contract access into recurring, higher-margin software revenue, while RGTI is effectively a long-duration R&D funding vehicle. BBAI's acquisition financing can create a near-term revenue optics boost but risks persistent dilution and integration-driven margin leakage; it must show organic bookings, renewal rates, and cash-burn improvement before a software multiple is defensible. Its larger defense peers—PLTR, LHX, LDOS and BAH—are likely the beneficiaries if federal procurement consolidates around vendors with cleared personnel, proven delivery, and balance-sheet capacity.

RGTI's cloud relationships are distribution channels rather than evidence of durable demand: AMZN and MSFT retain customer ownership and can list competing quantum providers with limited switching cost. The key 6-18 month catalyst is independently benchmarked progress in error rates, logical-qubit performance, and external paid usage, not processor announcements or partnership headlines. Absent those measures, its valuation is most exposed to a risk-off rotation or any evidence that quantum workloads remain primarily subsidized research activity; the very high liquidity runway reduces near-term insolvency risk but does not protect against multiple compression.

Consensus may underappreciate that both equities share a single scarce input—retail/speculative liquidity—despite fundamentally different end markets. A quantum rally can temporarily lift BBAI through thematic baskets, but this is a correlation trade rather than a validation of BBAI's operating model. Conversely, BBAI's lower sales multiple is not a margin of safety while revenue is contracting and litigation/accounting overhangs can constrain acquisition currency and customer confidence.

Key Decisions for Investors

• Avoid initiating directional longs in BBAI or RGTI on this comparison alone; the news signal is low-impact. Reassess BBAI after the next two quarterly reports only if organic revenue turns positive, operating cash burn improves materially, and funded backlog converts to revenue rather than acquisition-led growth.
• For a 1-3 month relative-value expression, consider long PLTR versus short BBAI in equal dollar exposure after any BBAI AI-sympathy spike. PLTR offers scaled government AI deployment and stronger funding capacity; exit if BBAI reports a meaningful independently verifiable contract award with multi-year recurring software economics or if the spread moves 15% against entry.
• Treat RGTI as a catalyst watch, not a core quantum allocation. A tactical long is warranted only following third-party benchmark evidence of improved fidelity/error correction accompanied by commercial bookings or revenue conversion; otherwise, use rallies driven solely by quantum headlines to reduce exposure or hedge with a short RGTI position sized for extreme volatility.
• For 6-18 month defense-AI exposure, prefer a basket led by PLTR, LDOS and LHX over BBAI. The thesis is falsified by a broad federal procurement slowdown, contract award losses, or a sustained reduction in defense/AI budget priorities; size the basket against those macro-policy risks rather than company-specific headline momentum.