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Baidu Inc (BIDU) is set to release its FY2025Q4 earnings performance on 02/26 04:00:00 ET in Pre-Market trading. Consensus forecasts predict a revenue of 4.68B and an earnings per share (EPS) of 1.47 for the FY2025Q4. With Intellectia's exclusive AI algorithms, users can predict whether the earnings will beat or miss expectations before the report drops. Leverage this powerful tool to strategize and position your trades ahead of the earnings release!
Baidu's earnings are predicted to 'Beat' expectations due to AI Cloud acceleration, cost optimizations, and strategic partnerships, which outweigh risks from online marketing revenue.

Key Fact Data Drivers:
JPMorgan upgraded Baidu, projecting AI Cloud revenue growth to accelerate to 61% in 2026 (vs. 23% in 2025), driven by autonomous ride-hailing partnerships (Apollo Go in Dubai/Abu Dhabi).
Ernie AI assistant surpassed 200M monthly active users, signaling monetization potential.
Layoffs and organizational restructuring (per Morgan Stanley) likely reduced operating expenses.
$5B share repurchase program improves EPS by reducing shares outstanding.
The earnings call reveals strong AI Cloud revenue growth, strategic partnerships, and expansion in autonomous driving. While there are some concerns about competition and unclear timelines, the overall sentiment is positive due to the optimistic guidance for 2026, robust AI-powered business growth, and a new share repurchase program. These factors suggest a likely positive stock price movement in the short term.
Baidu's earnings call reveals strong AI and cloud business growth, significant advancements in autonomous driving, and positive AI search monetization feedback. Despite an operating loss due to asset impairments, non-GAAP metrics show profitability, and shareholder returns are promising with share repurchases. The Q&A highlights robust cloud growth and AI business potential. While margins are currently low, improvements are expected. The absence of unclear responses and management's optimistic outlook on AI-driven growth and profitability further support a positive sentiment.
The earnings call presents mixed signals: strong AI Cloud revenue growth and strategic advancements in AI and autonomous driving, but also negative free cash flow and margin pressures. The Q&A reveals optimism in AI developments but lacks clarity on some key issues, such as chip constraints and margin outlook. The absence of clear guidance on ERNIE 5.0 and financial metrics adds uncertainty. Overall, the sentiment is neutral, reflecting both positive strategic progress and financial challenges.
Despite strong AI Cloud revenue growth and strategic AI investments, concerns about declining core online marketing revenue and negative free cash flow weigh on sentiment. Share repurchase is a positive, but management's lack of detailed guidance on cloud profitability and partnerships adds uncertainty. This mixed performance and lack of clear guidance result in a neutral stock price prediction.
Baidu Inc (BIDU) is scheduled to release its FY2025Q4 earnings report on Feb 26, 2026, Pre-Market (approximately 4:00 PM ET). This timing allows investors to react during after-hours trading, with a conference call typically following shortly after.
Analysts' consensus predicts 4.68B in revenue and an EPS of 1.47 for Baidu Inc's FY2025Q4.
Intellectia's exclusive AI algorithms forecast a Beat for Baidu Inc's FY2025Q4 earnings, with a prediction date of Feb 26, 2026. Baidu Inc Baidu's earnings are predicted to 'Beat' expectations due to AI Cloud acceleration, cost optimizations, and strategic partnerships, which outweigh risks from online marketing revenue.
Leverage Intellectia's AI forecast to position trades ahead of the Feb 26, 2026 release—consider calls for a beat scenario or protective puts for misses. Focus on pre-market volatility, and use the scenario probabilities to build strategies around revenue and guidance updates.
Intellectia's predictions are backed by rigorous backtesting, showing a high hit rate for Beat and Miss calls compared to traditional analysis. While no forecast is 100% certain, we provide probability-based scenarios (e.g., 50% chance of a *Beat*) and detailed rationales to help you make informed decisions. Combine our insights with your strategy for the best results—it's like having a co-pilot for earnings season! Empowering users to strategize trades before reports drop.
AI Earnings Prediction uses advanced Large Language Models (LLMs) to analyze a wealth of data, including past earnings transcripts, real-time market sentiment, analyst insights, and company news from the last three months. It focuses on key indicators like revenue, EPS, and margins to predict whether a company will *Beat*, *Miss*, or remain Neutral relative to market expectations. Think of it as a super-smart analyst crunching numbers and news 24/7 to give you a trading edge!
Predictions are generated two days before a company's earnings release (e.g., 5:00 PM ET on Feb 13 for a Feb 15 report) to capture the latest market and company data. They're updated in real-time if significant news breaks, ensuring you get fresh insights.
Currently, AI Earnings Prediction focuses on companies with market caps above $40 billion, covering major players like SPG, AAPL, MSFT, and NVDA for the 2025-2026 earnings seasons. We prioritize high-impact stocks with robust data to ensure reliable forecasts. Stay tuned as we expand coverage to more companies based on user demand!
Each prediction includes a detailed rationale, key indicator forecasts, and scenario probabilities to guide your trades. For a *Beat*, consider buying call options or shares; for a *Miss*, explore puts or hedging strategies. The prediction card provides actionable suggestions, like specific option strikes or hedging tips, tailored to your risk tolerance. Trade smart and turn insights into profits!