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Penske Automotive Group Stock Price Chart

  • The current trend is relatively stagnant and PAG is experiencing slight selling pressure.

Penske Automotive Group Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 149.66 Buy
20-day SMA: 147.7 Buy
50-day SMA: 157.22 Sell
200-day SMA: 158.46 Sell
8-day EMA: 149.64 Buy
20-day EMA: 149.62 Buy
50-day EMA: 153.71 Sell
200-day EMA: 156.94 Sell

Penske Automotive Group Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.39 Sell
Relative Strength Index (14 RSI): 51.56 Buy
Chaikin Money Flow: -12910 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (143.79 - 152.25) Buy
Bollinger Bands (100): (150.41 - 167.23) Sell

Penske Automotive Group 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 Penske Automotive Group Stock

Is Penske Automotive Group Stock a Buy?

PAG Technical Analysis vs Fundamental Analysis

Buy
66
Penske Automotive Group (PAG) is a Buy

Is Penske Automotive Group a Buy or a Sell?

Penske Automotive Group Stock Info

Market Cap:
10.1B
Price in USD:
151.81
Share Volume:
200.7K

Penske Automotive Group 52-Week Range

52-Week High:
180.12
52-Week Low:
134.05
Buy
66
Penske Automotive Group (PAG) is a Buy

Penske Automotive Group Share Price Forecast

Is Penske Automotive Group Stock a Buy?

Fundamental Analysis of Penske Automotive Group

Is Penske Automotive Group a good investment?

  • Analysts estimate an earnings increase this quarter of $0.12 per share, a decrease next quarter of $0.21 per share, an increase this year of $0.40 per share, and an increase next year of $0.62 per share.

Technical Analysis of Penske Automotive Group

Should I short Penske Automotive Group stock?

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