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Patterson Companies Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and PDCO is experiencing slight selling pressure.

Patterson Companies Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 30.87 Buy
20-day SMA: 30.87 Buy
50-day SMA: 26.09 Buy
200-day SMA: 24.34 Buy
8-day EMA: 30.86 Buy
20-day EMA: 30.13 Buy
50-day EMA: 27.46 Buy
200-day EMA: 25.29 Buy

Patterson Companies Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.21 Buy
Relative Strength Index (14 RSI): 80.86 Buy
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (30.79 - 31.03) Sell
Bollinger Bands (100): (19.57 - 28.01) Buy

Patterson Companies Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Patterson Companies Stock

Is Patterson Companies Stock a Buy?

PDCO Technical Analysis vs Fundamental Analysis

Buy
75
Patterson Companies (PDCO) is a Buy

Is Patterson Companies a Buy or a Sell?

Patterson Companies Stock Info

Market Cap:
2.7B
Price in USD:
30.90
Share Volume:
730.7K

Patterson Companies 52-Week Range

52-Week High:
31.79
52-Week Low:
19.45
Buy
75
Patterson Companies (PDCO) is a Buy

Patterson Companies Share Price Forecast

Is Patterson Companies Stock a Buy?

Fundamental Analysis of Patterson Companies

Is Patterson Companies a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.03 per share, an increase next quarter of $0.13 per share, a decrease this year of $0.03 per share, and an increase next year of $0.18 per share.

Technical Analysis of Patterson Companies

Should I short Patterson Companies stock?

* Patterson Companies stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.