CI
CuriosityStream Inc. (CURI)·Q2 2025 Earnings Summary
Executive Summary
- Q2 2025 delivered strong execution: revenue rose 53% year-over-year to $19.0M, sequentially up 26%, with record net income of $0.8M and record adjusted EBITDA of ~$3.0M, both above guidance .
- AI data/video licensing was the key driver: licensing revenue reached $9.3M, “significant new business” from AI partners; subscription revenue was also $9.3M, down YoY but up sequentially with new wholesale deals and Prime Video/DIRECTV expansions .
- Balance sheet remains solid: $30.7M cash/restricted/HTM securities and no debt; ordinary and special dividends in Q2 totaled $10.4M, and the Board declared a $0.08/share Q3 dividend .
- Guidance: Q3 2025 revenue range $15–$18M and FY 2025 adjusted free cash flow $11–$13M; Q2 results exceeded prior Q2 guidance ($16–$17M revenue; $2–$3M adjusted FCF) .
- Potential stock narrative catalysts: accelerating AI licensing with repeat hyperscale partners, expanding distribution (Prime Video AU/NZ; DIRECTV SVOD/FAST), and management’s confidence in being a leading licensor of premium video for AI training .
What Went Well and What Went Wrong
What Went Well
- AI licensing scaled materially for the third consecutive quarter, powering record profitability: “Adjusted EBITDA grew by over $4M YoY… to positive $3.1M” and licensing revenue reached $9.3M, up >$8M YoY .
- Distribution footprint expanded: new/expanded multiyear wholesale agreements in Asia/LatAm; Prime Video add-on launches across Europe earlier and AU/NZ in August; DIRECTV multi-tier deal in the U.S. (SVOD + FAST) .
- Management tone and strategic conviction: CEO reiterated intent to be among dominant licensors of video for AI training, citing a curated million+ hours corpus and superior data structuring capability (clipping/indexing/labeling/annotating at scale) .
Quote: “We will be the or among the dominant licensors of video for AI model training.”
What Went Wrong
- Subscription revenue declined YoY by $1.7M, highlighting continued pressure in core D2C/partner distribution even as it improved sequentially .
- Cash cost of revenue increased due to revenue-share content licensing growth and storage, modestly offsetting content amortization reductions; gross margin improved only ~80bps YoY to 53.4% .
- Operating expense discipline continued, but ad/marketing + G&A still totaled $9.7M in Q2, reinforcing a need to maintain cost rationalization while scaling AI licensing and distribution initiatives .
Financial Results
Quarter-over-Quarter Comparison (oldest → newest)
Year-over-Year Highlights (Q2)
Segment Breakdown (Q2 2025)
KPIs (operational/financial)
Guidance Changes
Note: Non-GAAP definitions and reconciliation provided; adjusted FCF excludes purchases of property/equipment, restructuring, and nonrecurring license payments .
Earnings Call Themes & Trends
Management Commentary
- CEO on AI licensing durability and moat: “We will be… among the dominant licensors of video for AI model training… our ability to clip, index, label, and annotate at scale… makes content we supply that much more valuable” .
- CFO on composition and margins: “Revenue led by content licensing… $9.3M… subscription revenue… $9.3M… gross margin was 53%… cash cost of revenue increased… from growth in licensing via revenue share and storage costs” .
- Strategic positioning: “Our strong balance sheet… $31M in liquidity and no debt… our library of over 1,000,000 of video, and our $0.32 annual dividend position us as a high performance outlier amid a historical technological revolution” .
Q&A Highlights
- Strategic rationale for staying in core media while scaling AI licensing: management emphasized three pillars (subscription, licensing, advertising) working “hand in glove” to source content and monetize across channels .
- Cost implications of licensing pivot: incremental costs mainly storage/delivery; content acquired largely via rev-share, keeping margins attractive (~40–50% on partner content; 100% when owned) .
- Novel data licensing: management licensed ~9M “tokens of code” alongside video/audio/scripts/study guides; underscores value of owning diverse IP for monetization as AI needs evolve .
- Organization efficiency: “a tight company of ~42 full-time people… $1.5 to $2.0M per employee in revenue” target for 2025 .
Estimates Context
Results vs S&P Global Wall Street consensus:
- Q2 2025 revenue: Actual $19.012M vs Consensus $16.650M* — bold beat driven by AI licensing strength and repeat customers .
- Q2 2025 EPS: Actual $0.01 vs Consensus -$0.005* — bold beat as mix shifted to higher-margin licensing and disciplined OpEx .
- Q1 2025 revenue: Actual $15.090M vs Consensus $14.800M* — beat .
- Q1 2025 EPS: Actual $0.01 vs Consensus -$0.02* — beat .
Values retrieved from S&P Global.*
Implications: Consensus likely to move higher on revenue and EPS given outperformance and sequential momentum from licensing; watch for definition differences on EBITDA (company reports adjusted EBITDA, while consensus may vary).
Key Takeaways for Investors
- AI licensing is becoming a core earnings engine, delivering record profitability and sequential growth; further scaling expected with repeat hyperscale demand and superior data structuring capabilities .
- Subscription stabilizing with sequential improvement and meaningful wholesale deals; additional distribution via Prime Video and DIRECTV enhances reach and monetization across SVOD and FAST .
- Q2 beat on revenue/EPS vs consensus underscores positive estimate revisions risk; monitor Q3 revenue range ($15–$18M) and FY adjusted FCF ($11–$13M) as baseline for modeling .
- Margins improving modestly; note rising cash cost of revenue from rev-share/licensing/storage; continued OpEx discipline remains crucial to sustain profitability .
- Capital returns continue alongside growth investments; $0.08/share dividend declared for Q3 and special dividend paid in Q2 signal confidence and balance sheet strength ($30.7M cash/securities; no debt) .
- Strategic moat: curated million+ hours corpus, rights-cleared content, and metadata “on steroids” position CURI favorably vs large studios and peers in AI video licensing .
- Near-term trading: AI licensing headlines and distribution wins are the likely catalysts; medium term, watch durability/recurrence of data licensing, subscription trajectory and advertising ramp for multi-pillar growth .