Insider Trading & Executive Data
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63 insider trades in the last year. Go beyond summary counts with transaction-level detail, compensation intelligence, and institutional ownership context.
BigBear.ai (BBAI) is an AI-driven technology and systems-integration company that delivers computer vision, biometrics, predictive analytics, digital-twin modeling and decision-support tools to U.S. national security, defense, federal civilian and select commercial customers. The business combines packaged software with cleared, on-site services for mission-critical environments, with a large portion of revenue driven by federal contracts and long sales cycles; the Feb 2024 Pangiam acquisition expanded identity/biometrics capabilities. Operational characteristics that matter for investors include seasonal contract awards (Q3–Q4 concentration), high proportion of cleared personnel (~53% technical staff), significant backlog, and sensitivity to DoD/federal appropriations, export controls and procurement dynamics. Recent financials show modest revenue growth, volatile GAAP losses driven by non-cash impairments and derivative remeasurements, improving adjusted EBITDA toward breakeven, and large swings in liquidity tied to equity financings and convertible-note activity.
Compensation at BigBear.ai is likely structured to blend base pay, short-term cash incentives and equity-based awards—consistent with Technology / Information Technology Services peers—while emphasizing retention of cleared technical talent and mission-domain leaders. Company-specific performance levers that would drive pay outcomes include backlog/bookings and funded backlog conversion, revenue from higher-margin product vs. services integrations, adjusted EBITDA/free cash flow, successful program integrations (e.g., Pangiam) and milestone-driven government contract awards. Recent accounting items (goodwill impairments, derivative fair-value swings) and capital raises mean equity compensation dynamics and target-setting are volatile: dilution from ATM sales and convertible-note conversions can change realized equity value, while fair-value remeasurements affect reported compensation expense and bonus funding. Given the importance of cleared personnel and program continuity, expect material retention awards, time- and performance-vesting RSUs, and potential deal-related or integration bonuses tied to strategic M&A and backlog conversion metrics.
Because a large share of revenue is federal contract-driven and program timing materially affects results, material non-public information often centers on contract awards, funded backlog updates, budget/appropriation news and acquisition/integration milestones—events that typically trigger blackout periods and heightened insider-trading risk. Many executives and senior technical staff hold security clearances and work on-site at customer facilities, which can impose additional contractual trading restrictions and pre-clearance requirements beyond standard Section 16/Form 4 obligations; use of trading plans (10b5‑1) and defined trading windows is therefore common and advisable. Recent capital-market activity (ATM equity raises, warrant exercises, and convertible-note conversions) and large fair-value movements create recurring windows when insiders may exercise options or sell shares, and those events should be monitored for clustering of Form 4 activity. Finally, regulatory considerations in the defense/technology space—export controls, procurement rules and non‑public bid processes—heighten the risk that insider trades around procurement timing or backlog disclosures will attract scrutiny.