Stock Analysis | Starbucks Outlook - Technical Weakness and Mixed Analyst Signals Weigh on Shares
1. Market Snapshot: Price Falls Despite Mixed Analyst Signals
The stock of StarbucksSBUX-- (SBUX.O) is currently experiencing a negative price trend, with shares down by 3.86% recently. Despite a majority of analysts maintaining a “Buy” stance, technical indicators remain weak and suggest caution for investors.
2. News Highlights: Tariffs and Industry Shifts Pose Challenges
Recent news highlights show that Starbucks and other hospitality and restaurant chains are facing headwinds from new tariff policies announced by President Trump. These tariffs on imports from Canada, Mexico, and China could increase the cost of essential food and beverage ingredients, potentially squeezing profit margins. Additionally, the sector is seeing strategic moves, like DoorDash’s recent financial support for fire-impacted restaurants, highlighting the competitive and volatile nature of the industry.
3. Analyst Views & Fundamentals: Stronger Consensus Than Performance
- Average Rating Score (Simple Mean): 3.62
- Weighted Rating Score (Performance-Weighted): 3.64
- Rating Consistency: Relatively consistent, with 8 “Buy” and 5 “Neutral” ratings in the last 20 days.
However, this analyst optimism clashes with the falling stock price, which has declined 3.86% recently. Analysts have historically shown varied performance—some with strong success rates, like UBSUBS-- (100% historical winning rate), while others, like Wells FargoWFC--, have underperformed (25% historical winning rate).
Key Fundamental Factor Values and Model Scores:
- Return on Assets (ROA): 1.21% (score: 1.79, internal diagnostic score 0.11)
- Net Income / Revenue: -0.70% (score: 0.03, internal diagnostic score 0.19)
- Profit / Market Value (Profit-MV): -1.52 (score: 0.03, internal diagnostic score 0.20)
- Cash / Market Value (Cash-MV): -1.84 (score: 0.02, internal diagnostic score 0.12)
- Long-term Debt to Working Capital Ratio: 7.18% (score: 0.02, internal diagnostic score 0.11)
- Net Cash Flow from Operating Activities per Share (YoY): -7.44% (score: 0.01, internal diagnostic score 0.09)
These mixed signals point to a company with moderate profitability but struggling to reflect this in market value or cash flow growth.
4. Money-Flow Trends: Big Money and Retailers in Sync
The flow of capital into Starbucks has been negative across all investor categories. Small, medium, and large investors have seen inflow ratios below 50%, with the highest being 49.9% for small investors. Extra-large money flows remain the weakest at 44.7%. The overall inflow ratio is 46.4%, suggesting that both big money and retail investors are cautious or bearish on the stock at the moment.
5. Key Technical Signals: Bearish Momentum and Weak Setup
The technical outlook for Starbucks is weak, with six bearish signals out of six analyzed and no bullish ones. The technical score stands at 3.03 (internal diagnostic score 0-10), reflecting a weak trend and a recommendation to avoid the stock at this time.
Key Recent Indicators and Scores:
- WR Overbought: Score 3.33 – a weak indicator of internal strength
- WR Oversold: Score 2.58 – neutral to bearish internal signal
- MACD Golden Cross: Score 1.17 – a strongly bearish signal
Recent chart patterns include a Bullish Engulfing pattern on August 13 and a MACD Golden Cross on August 12, but these are not enough to offset the broader bearish trend.
Insights from Technical Model:
- Technical indicators suggest a volatile market with no clear direction.
- Strong bearish dominance (6 vs. 0 bullish signals) is the most significant factor pointing to caution.
6. Conclusion: Consider Waiting for a Pull-Back
With weak technical signals, mixed analyst views, and negative fund flows, Starbucks appears to be in a challenging short-term environment. While fundamentals show some positive signs, they are not reflected in market price or sentiment. Investors may want to consider waiting for a more defined trend or a stronger pull-back before committing capital to this stock.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.
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