Buying pressure lifts Salesforce higher in today trading

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Salesforce rises 2.16% today to $189.29

Highlights

Salesforce will report Q4 FY26 results on February 25, with projected revenue of $11.13–$11.23 billion, led by its AI platform Agentforce driving a 330% recurring revenue increase in Q3 FY26.
The company supported shareholder returns in Q3 with a $3.8 billion stock repurchase and a quarterly dividend of $0.416 per share, maintaining a 22.16% payout ratio.
CRM is trading at $189.29, significantly below all major moving averages, with bearish momentum signals and a probable trading range between $154.56 and $177.75 over the next five days.

AI-driven growth and shareholder returns bolster sentiment ahead of earnings

Salesforce is set to report its fourth-quarter fiscal 2026 results on February 25, with projected revenues between $11.13 billion and $11.23 billion. The company’s AI platform, Agentforce, contributed to a 330% recurring revenue increase in Q3 FY26 and underpins ongoing sales growth. Salesforce also returned value to shareholders through a $3.8 billion stock repurchase in Q3 and recently paid a quarterly dividend of $0.416 per share, maintaining a payout ratio of 22.16%. Over the past six months, Salesforce has completed ten acquisitions to strengthen its cloud and AI offerings.

Anton Kharitonov, expert at Traders Union, notes that Salesforce is showing persistent downside momentum across all key moving averages. He finds the lack of dynamic support and multiple bearish technical indicators especially troubling. The recent rally in recurring revenue and shareholder returns does little to counteract the overwhelmingly negative price action. Kharitonov is wary of the consolidation below resistance and considers the likelihood of a major rebound to be very low. "With CRM entrenched below $200 and no bullish signals on the horizon, risk remains firmly to the downside for now."

Viktoras Karapetjanc, expert at Traders Union, sees strong underlying opportunities despite recent price weakness. He points to the rapid acceleration in recurring revenue and proactive shareholder dividends as key positives. Karapetjanc believes ongoing investment in AI and expansion through acquisitions will bolster long-term fundamentals. While technicals are challenged, he emphasizes the transformational growth story. "Salesforce’s bullish structure remains intact — further growth and strategic setups are likely as fundamentals continue to strengthen."

Jainam Mehta, market strategist, views the sharp decline and current oversold readings as a signal for potential tactical moves. He notes that the lack of weekly buy signals warrants caution, but sees room for a quick short-covering bounce if sentiment shifts. Mehta highlights the risk of breakdown below $154.56 yet remains attentive to reversals above resistance. "Traders should monitor for any divergence in sentiment — it may offer contrarian entries if bearish momentum wanes."

Bearish signals intensify as CRM tests oversold technical extremes

Momentum signals for CRM remain negative, with the MACD and ADX on the daily chart indicating a strong bearish bias. Daily RSI is at 28.41 and CCI is at –77.99, both in oversold territory, while a strongly negative BBP highlights sustained selling pressure; however, these oversold levels also signal emerging technical exhaustion. The Awesome Oscillator stands neutral, while intraday action is modestly positive, with CRM near its session high on low volatility. No dynamic support is indicated by the moving averages, while the closest dynamic resistance is at the Ichimoku Kijun ($220.58).

Last week, Salesforce closed well below its key weekly moving averages and remains entrenched in a bearish trend, with technical indicators such as RSI signaling deep oversold conditions and persistent seller dominance. The stock is expected to trade rangebound with downside risk, as all major resistance levels cap potential recoveries and a break below key support could accelerate further declines.

Source of Data: CRM Price Analysis by TU

The analysis is based on a proprietary model combining technical, on-chain, and expert data. Not investment advice. See methodology

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