Marti Technologies' Q2 2025: Contradictions Emerge on Monetization Strategy, Driver Supply, and Expansion Plans
Generated by AI AgentAinvest Earnings Call Digest
Monday, Sep 22, 2025 3:04 pm ET3min read
MRT--
Aime Summary
NOT--
BTC--
The above is the analysis of the conflicting points in this earnings call
Date of Call: September 22, 2025
Financials Results
- Revenue: $14.3M for H1 2025, up 70% YOY (vs $8.4M in H1 2024)
- Gross Margin: Gross profit margin improved 49% YOY; absolute margin notNOT-- disclosed
Guidance:
- 2025 revenue expected to be ~$34M (vs $18.7M in 2024), nearly doubling.
- Adjusted EBITDA expected to improve by ~$2.3M in 2025.
- No monetization in 6 new ride-hailing cities during 2025; focus on adoption.
- Targets by YE25: ~3.3M unique ride-hailing riders and ~450k registered drivers.
- Ride-hailing team to scale to ~260 by YE25.
- Significant upside to increase take rate from current high single digits over time.
- April 2025 $23M convertible note funds growth for ~12 months; no near-term raise expected.
Business Commentary:
* Ride-Hailing Service Growth: - Marti TechnologiesMRT-- reported2.28 million unique ride-hailing riders in Q1 2025, growing 107% year-over-year from 1.1 million in Q1 2024. - The growth was driven by the strategic decision to monetize ride-hailing services and the introduction of a dynamic pricing model.- Revenue and Financial Performance:
- The company generated
$14.3 millionin revenue for the first half of 2025, a70%increase compared to$8.4 millionin the same period in 2024. This increase was primarily due to the monetization of ride-hailing services and cost efficiencies in the 2-wheeled electric vehicle business.
Market Expansion and Driver Acquisition:
- Marti expanded its operations to 10 cities, representing approximately half of Türkiye's population and nearly 2/3 of its GDP.
The company continues to grow its ride-hailing driver base, with
327,000 registered driversin Q1 2025, a92%increase from171,000in Q1 2024.AI Integration and User Experience:
- The company introduced an AI engineering team to optimize matching, pricing, and rider-driver experiences, enhancing overall efficiency.
- The redesign of the app and improved user experience led to a
2%increase in conversion rate and a4.9average App Store rating.
Sentiment Analysis:
- H1 revenue grew 70% YOY to $14.3M; cost of revenues down 25% YOY; gross profit margin improved 49% YOY. Adjusted EBITDA improved from -$11.3M (H1’24) to -$6.0M (H1’25). Management reiterated 2025 revenue guidance of ~$34M (vs $18.7M in 2024) and expects adjusted EBITDA to improve by ~$2.3M. Ride-hailing riders up 107% YOY to 2.3M; registered drivers up 92% YOY to 327k; expansion to 10 cities with strong demand.
Q&A:
- Question from Theodore O'Neill (Litchfield Hills Research, LLC): On 2-wheeled electric vehicles deployed, is there a target level, and are you taking it to zero?
Response: They will keep all three modalities; EV fleet size will be reassessed ahead of summer 2026 based on decommissioning and customer needs, not reduced to zero.
- Question from Theodore O'Neill (Litchfield Hills Research, LLC): Comment on driver supply and how AI is helping the business.
Response: No onboarding constraints; driver sign-ups are accelerating with network effects; AI team optimizes pricing, take rates, and funnels to match global best practices.
- Question from John Halpert (Cantor Fitzgerald & Co., Research Division): Where are take rates now vs global benchmarks, and how will they evolve over 12–18 months? Also, what are you seeing in demand in new markets?
Response: Take rates remain in the high single digits with significant room to rise; demand is strong in new cities with rising share outside Istanbul.
- Question from Rohit Kulkarni (ROTH Capital Partners, LLC, Research Division): How are you balancing growth vs profitability over the next 6–18 months, including monetization cadence?
Response: They prioritize rapid growth while the market is uncontested, keeping take rates low but adjustable; could raise take rates quickly if needed to boost profitability.
- Question from Rohit Kulkarni (ROTH Capital Partners, LLC, Research Division): Mix of revenue/profitability across cities?
Response: The initial 4 cities are contribution-margin positive even at high single-digit take rates; focus is on scaling those and launching new cities.
- Question from Rohit Kulkarni (ROTH Capital Partners, LLC, Research Division): Regulatory backdrop for ride-sharing in Türkiye?
Response: They are actively engaging to shape and enable regulation, leveraging prior success introducing and regulating new mobility modalities.
- Question from Rohit Kulkarni (ROTH Capital Partners, LLC, Research Division): Rationale for crypto treasury strategy amid currency volatility?
Response: They diversified a portion of non-operating 'rainy day' cash from USD into BitcoinBTC-- as a store of value; majority remains in USD; not a new business line.
- Question from Yanfang Jiang (The Benchmark Company, LLC, Research Division): Current rider/driver incentives and unit economics in six new cities vs first four?
Response: Incentives are minimal; driver CAC pays back within a month; new cities have lower fares but also lower costs, targeting similar margins to the original cities.
- Question from Yanfang Jiang (The Benchmark Company, LLC, Research Division): Strategy and timing for autonomous driving/robotaxi in Türkiye?
Response: Adoption will lag the US due to economics, but MartiMRT-- is exploring partnerships to pioneer autonomous services in Türkiye when feasible.
- Question from Siddharth Havaldar (Crescent Enterprises): Capital needs vs increasing take rates to reach cash flow positive; any planned raises?
Response: The $23M April convertible note fully funds ~12 months at current take rates; no near-term raise planned; trade-offs will be reassessed in 6–12 months.
Discover what executives don't want to reveal in conference calls
Latest Articles
Stay ahead of the market.
Get curated U.S. market news, insights and key dates delivered to your inbox.
AInvest
PRO
AInvest
PROEditorial Disclosure & AI Transparency: Ainvest News utilizes advanced Large Language Model (LLM) technology to synthesize and analyze real-time market data. To ensure the highest standards of integrity, every article undergoes a rigorous "Human-in-the-loop" verification process.
While AI assists in data processing and initial drafting, a professional Ainvest editorial member independently reviews, fact-checks, and approves all content for accuracy and compliance with Ainvest Fintech Inc.’s editorial standards. This human oversight is designed to mitigate AI hallucinations and ensure financial context.
Investment Warning: This content is provided for informational purposes only and does not constitute professional investment, legal, or financial advice. Markets involve inherent risks. Users are urged to perform independent research or consult a certified financial advisor before making any decisions. Ainvest Fintech Inc. disclaims all liability for actions taken based on this information. Found an error?Report an Issue

Comments
No comments yet