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510 insider trades in the last year. Go beyond summary counts with transaction-level detail, compensation intelligence, and institutional ownership context.
Duolingo is a mobile-first education technology company whose flagship product is the Duolingo app — a freemium, gamified platform offering courses in 40+ languages plus Math and Music, and an AI-driven Duolingo English Test accepted by thousands of programs. As of year-end 2024 the company reported ~116.7M MAUs, ~9.5M paid subscribers, $748M revenue (41% YoY growth) and improving profitability (net income $88.6M, Adjusted EBITDA $191.9M). The business model is scale-driven: large proprietary learning datasets, intensive A/B testing and AI/ML personalization drive engagement and subscription conversion, while revenue mix is dominated by subscriptions with advertising as a secondary stream.
Compensation is likely equity-heavy and metrics-driven in line with Technology / Software-Application peers: substantial stock-based compensation, time- and performance-based RSUs (including Monte Carlo-modeled performance RSUs), and cash/bonus components tied to subscriber growth, bookings, DAU/MAU engagement and profitability (Adjusted EBITDA, free cash flow). Management’s disclosures show material SBC in R&D and G&A and explicit use of performance awards, so expect grants to align with product milestones (AI features, Duolingo Max), retention of engineering talent, and long-term subscriber/monetization targets. The company’s improving cash generation may shift short‑term bonus mix toward cash, but ongoing investment in AI and R&D means equity will remain important for retention and alignment.
Insider trading patterns at Duolingo may be influenced by clear event-driven triggers: quarterly results (subscriber/bookings beats or misses), major AI/product launches, and material changes to deferred revenue or profitability that affect guidance. Because grants and vesting of RSUs (and founder/performance awards) drive tax liabilities, expect routine insider sales to cover tax withholding following vesting; larger, non-scheduled block sales or patterns around quarter-ends warrant extra scrutiny. Regulatory and operational risks (GDPR, PIPL, COPPA, ad-targeting rules) and material items such as deferred revenue recognition or AI cost trends can create actionable non-public information, so monitor for 10b5-1 plan disclosures, blackout periods, and unusually timed trades relative to product/AI announcements or subscriber metric releases.