Cheetah Mobile Inc. (CMCM) Earnings
Cheetah Mobile Inc. is expected to report next earnings on September 11, 2026 (in NaN days), with a consensus EPS estimate of $0.64. CMCM has beaten EPS estimates in 0 of its last 2 reported quarters (average surprise -118.2% over the last four).
| Report date | EPS est | EPS actual | Surprise | Revenue | Rev. surprise |
|---|---|---|---|---|---|
| Jun 10, 2026 | $0.66 | $-0.06 | -109.1% | $6M | -97.5% |
| Mar 24, 2026 | $0.58 | $-0.16 | -127.4% | $6M | -97.0% |
| Nov 26, 2025 | — | $-0.01 | — | $40M | — |
| Sep 11, 2025 | — | $-0.07 | — | $41M | — |
| Jun 19, 2025 | — | $-0.11 | — | $36M | — |
| Mar 26, 2025 | — | $-0.92 | — | $32M | — |
| Dec 17, 2024 | — | $-0.18 | — | $27M | — |
| Sep 13, 2024 | — | $-0.51 | — | $26M | +57.7% |
| Jun 7, 2024 | — | $-0.32 | — | $26M | — |
| Mar 21, 2024 | — | $-0.77 | — | $23M | +45.7% |
| Aug 28, 2023 | — | $-0.66 | — | $23M | +46.1% |
| Apr 11, 2023 | — | $-0.69 | — | $25M | +45.4% |
Source: company filings + earnings calendar. For informational purposes only — not investment advice.
Earnings call summary
Q1 FY2026 · June 10, 2026
AI summary of management’s prepared remarks and analyst Q&A. For informational purposes only — not investment advice.
Management highlights
- Strategic Transition Status * 2026 is a key transition year for Cheetah Mobile, shifting from a traditional internet company to an AI-enabled AI agent and robotics-focused business, moving from capability building to early-stage commercial validation. * Management's core focus is turning AI and robotics capabilities into practical products for real business scenarios that deliver strong customer ROI. * The company maintains a strong balance sheet: as of March 31, 2026, it holds 186 million USD in cash and cash equivalents, plus over 100 million USD in long-term investments, providing sufficient financial flexibility for long-term investments. * Core financial priorities: maintain operating discipline, improve revenue quality and operating efficiency, and preserve financial flexibility to support long-term growth initiatives. - Robotics Business Progress * Current robotics products focus on commercial service scenarios including reception and guided tours, with strong customer demand. Smart personal mobility (e.g., smart wheelchairs) extends capabilities into personal mobility and healthcare consumer scenarios, validating the company's robotic platform expansion beyond commercial services. * Initial product shipments to top Chinese mobility product manufacturers began in Q2 2026, with encouraging early market feedback and initial commercial traction. Mass production of the company's smart wheelchair launched in May 2026, with strong early reception in overseas markets particularly Europe. - AI and Cloud Business Progress * AI infrastructure services under global enterprise services has seen strong customer adoption, with daily energy token usage increasing more than 20 times since January 2026 and exceeding 400 billion in May 2026. * The company continues to develop the EasyGoal AI platform to help customers deploy AI applications and improve productivity, with long-term growth potential. * The company partners with Google Cloud and AWS to help enterprise customers serve international markets, access AI models, and operate more efficiently in multi-cloud environments.
Guidance
- Robotics and others segment revenue is expected to grow strongly in full year 2026, with Q2 2026 revenue projected to increase both year-over-year and quarter-over-quarter. - Cloud and AI infrastructure services revenue growth is expected to continue through 2026. - The combined revenue contribution from robotics and others, and cloud and AI infrastructure segments is projected to continue increasing from the current 38% of total Q1 2026 revenue as the businesses scale. - Management maintains guidance that the company will continue moving toward a more sustainable, balanced operating structure as AI and robotics businesses scale gradually.
Segment performance
1. Internet Service: Total Q1 2026 revenue declined year-over-year due to softness in online advertising. Internet value-added services revenue grew 8.2% year-over-year, contributing 72.8% of total segment revenue. The segment generated 15.2 million RMB in adjusted operating profits, providing stable profit and cash flow for AI and robotics investments. 2. Robotics and Others: Newly separated reportable segment, Q1 2026 revenue increased 175.9% year-over-year to 51.2 million RMB, accounting for 19.8% of total company revenue. Adjusted operating loss for the segment narrowed 57.1% year-over-year, reflecting improved operating efficiency and commercial execution. 3. Global Enterprise Services: Total segment revenue was impacted by policy changes from overseas advertising platforms that hurt advertising agency revenue. Cloud and AI infrastructure services revenue grew 68.3% year-over-year, contributing 18% of total company revenue. The segment generated 13.8 million RMB in adjusted operating profits. Total company revenue for Q1 2026 was 259 million RMB, relatively stable year-over-year. The combined robotics and others, and cloud and AI infrastructure segments accounted for 38% of total Q1 2026 revenue.
Risks & headwinds
- The advertising agency business within global enterprise services is exposed to external policy changes from overseas advertising platforms, which caused a year-over-year revenue decline in Q1 2026 and will continue to impact near-term financial results. - Robotic operation in unstructured real-world physical environments is far more complex than simulated or laboratory environments, requiring years of data accumulation and algorithm optimization to deliver reliable, cost-effective products. - Widespread, mass-market general-purpose humanoid robots face large unsolved technical and commercial hurdles across the hardware supply chain, with low likelihood of viable commercialization in the next 3-5 years. - Mass-market multi-function home robots beyond specialized use cases (e.g., robot vacuums) face large unaddressed challenges including low task success rates, reliability issues, and high costs that prevent near-term large-scale commercialization. - Early-stage AI applications still require high levels of customized development and manual service, limiting near-term movement to fully standardized delivery models.
Analyst Q&A
Q: Analysts note that real-world deployment data for robots is increasingly important. How does accumulated in-scenario data improve Cheetah Mobile's robot capabilities?
A: Management agrees that real-world continuously generated data is critical for robot development, as simulation and training data cannot replicate the complexity of the physical world. Two examples demonstrate this value: 1) environment-specific communication and navigation capabilities optimized via real data have put Cheetah's commercial service robots in an industry leading position; 2) data accumulated across diverse floor and environment conditions allowed the company to deliver a low-cost, high-performance assisted-driving smart wheelchair that has earned strong market feedback. Management argues that general-purpose robots require step-by-step data accumulation from real scenarios to achieve successful commercialization.
Q: The market currently focuses heavily on AI model providers. What is your view on long-term value allocation across the AI industry chain?
A: Management notes that the current focus on large model and infrastructure layers is driven by near-term supply scarcity, but long-term ultimate value will accrue primarily to the application layer. The performance gap between top-tier and mid-tier models has narrowed significantly, and many mid-tier open source models already deliver strong cost-performance for daily tasks, creating massive opportunity for AI application developers. Even leading large model companies that earn high valuations today succeed by focusing on specific rooted applications rather than just providing generic model APIs.
Q: The market widely discusses near-term prospects for humanoid robots. What is your outlook for humanoid robot commercialization?
A: Management reaffirms that commercially viable general-purpose humanoid robots are extremely unlikely to emerge in the next 3-5 years, due to unresolved technical limitations across the entire hardware supply chain and high cost and reliability tradeoffs for humanoid form factors. Most use cases do not require a humanoid design, which adds unnecessary cost and complexity while reducing reliability. Cheetah Mobile's core focus is on specialized vertical robots with clear customer demand and proven market willingness to pay, rather than pursuing speculative general-purpose humanoid development.
Q: Will AI applications eventually move to a standardized SaaS model, or remain a hybrid of software and custom services long-term?
A: Today's heavy custom development requirement for AI projects stems from the early stage of AI adoption, as most organizations lack in-house AI expertise and need custom work to integrate AI with legacy systems. As AI capabilities improve and enterprises build internal AI literacy, the share of custom service will decline, and the traditional standardized SaaS model will be disrupted. Instead of providing traditional delivered services, Cheetah increasingly focuses on training customer employees and helping enterprises restructure their organizations to leverage AI capabilities in-house.