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Packaging Corp of America Stock Price Chart

  • The current trend is moderately bullish and PKG is experiencing slight buying pressure.

Packaging Corp of America Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 239.09 Sell
20-day SMA: 231.73 Buy
50-day SMA: 220.86 Buy
200-day SMA: 193.55 Buy
8-day EMA: 236.76 Sell
20-day EMA: 232.21 Buy
50-day EMA: 222.32 Buy
200-day EMA: 196.54 Buy

Packaging Corp of America Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 5.47 Buy
Relative Strength Index (14 RSI): 62.33 Buy
Chaikin Money Flow: 243249 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (221.55 - 237.25) Buy
Bollinger Bands (100): (190.5 - 223.94) Buy

Packaging Corp of America 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 Packaging Corp of America Stock

Is Packaging Corp of America Stock a Buy?

PKG Technical Analysis vs Fundamental Analysis

Buy
63
Packaging Corp of America (PKG) is a Buy

Is Packaging Corp of America a Buy or a Sell?

Packaging Corp of America Stock Info

Market Cap:
21.18B
Price in USD:
235.81
Share Volume:
579.32K

Packaging Corp of America 52-Week Range

52-Week High:
245.00
52-Week Low:
148.50
Buy
63
Packaging Corp of America (PKG) is a Buy

Packaging Corp of America Share Price Forecast

Is Packaging Corp of America Stock a Buy?

Fundamental Analysis of Packaging Corp of America

Is Packaging Corp of America a good investment?

  • Analysts estimate an earnings increase this quarter of $0.75 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.70 per share, and an increase next year of $2.18 per share.

Technical Analysis of Packaging Corp of America

Should I short Packaging Corp of America stock?

* Packaging Corp of America stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.