April 22, 2026 a 03:31 pm
Consumer Cyclical Stocks - Performance Analysis
In an ever-shifting economic landscape, consumer cyclical stocks have shown varied performance over the short term. Recent volatility has presented both opportunities and challenges for investors. This analysis dissects the recent trends over the past week, month, and quarter in the consumer cyclical sector, highlighting key insights and performance drivers.
📊 Consumer Cyclical Stocks Performance One Week
| Stock | Performance (%) | Performance |
|---|---|---|
| LOW | 2.99 | |
| BKNG | 2.83 | |
| NKE | 2.08 | |
| HD | 1.56 | |
| AMZN | 0.57 | |
| ORLY | 0.25 | |
| SBUX | -0.52 | |
| TJX | -0.59 | |
| TSLA | -1.35 | |
| MCD | -1.42 |
📈 Consumer Cyclical Stocks Performance One Month
| Stock | Performance (%) | Performance |
|---|---|---|
| AMZN | 17.85 | |
| BKNG | 8.73 | |
| LOW | 7.34 | |
| ORLY | 5.82 | |
| SBUX | 4.54 | |
| HD | 4.23 | |
| TSLA | 2.32 | |
| TJX | 1.98 | |
| MCD | -2.08 | |
| NKE | -11.11 |
📉 Consumer Cyclical Stocks Performance Three Months
| Stock | Performance (%) | Performance |
|---|---|---|
| TJX | 4.23 | |
| SBUX | 3.16 | |
| AMZN | 7.71 | |
| MCD | -1.02 | |
| ORLY | -4.56 | |
| BKNG | -5.13 | |
| LOW | -8.02 | |
| HD | -9.39 | |
| TSLA | -13.30 | |
| NKE | -31.99 |
✅ Summary
The consumer cyclical sector presents a mixed picture of performance over varying timeframes. Over the past week, LOW outperformed while stocks like MCD and TSLA faced declines. AMZN demonstrated notable strength over the past month, leading with significant gains, whereas NKE struggled. Over the last three months, NKE recorded substantial declines, highlighting potential challenges in the sector. Strategic attention will be pivotal in navigating these dynamics, balancing momentum with risk exposure.
Smart Data Insight
Master the Perfect Entry & Exit for this Stock
Don't leave your profits to chance. Historically, this stock follows specific seasonal patterns that institutional traders use to maximize returns.
- ✅ Identify the "Golden Buying Window"
- ✅ Avoid high-risk correction cycles
- ✅ Backtested data from the last 20+ years