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Ampco-Pittsburgh Stock Predictions

Ampco-Pittsburgh Stock Forecast

  • Is Ampco-Pittsburgh Stock Undervalued?
    The current Ampco-Pittsburgh [AP] share price is $2.90. The Score for AP is 36, which is 28% below its historic median score of 50, and infers higher risk than normal.
  • AP is currently trading in the 30-40% percentile range relative to its historical Stock Score levels.

Will Ampco-Pittsburgh Stock Go Up Next Year?

Data Unavailable

Ampco-Pittsburgh Stock Rating

Data Unavailable

Ampco-Pittsburgh Stock Price History

Is AP stock going to rise?

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

Stock Information

Stock Info

Exchange:
NYSE
Country:
United States
Industry:
Metals & Mining
Sector:
Materials
Type:
stock
Website:
ampcopgh.com

52-Week Data

52-Week High:
3.99
52-Week Low:
0.76

Prediction Charts

Market Cap:
59.1M
Price in USD:
2.90
Volume:
45.5K
Beta:
1.07

Technical Analysis

SMA50:
2.82
SMA100:
2.43
SMA200:
2.24
52-Wk Change:
278.99%

Stock Predictions

  • Is Ampco-Pittsburgh stock public?
    Yes, Ampco-Pittsburgh is a publicly traded company.
  • What is the Ampco-Pittsburgh stock quote today?
    The Ampco-Pittsburgh stock price is 2.90 USD today.
  • How to buy Ampco-Pittsburgh stock online?
    You can buy Ampco-Pittsburgh shares by opening an account at a top tier brokerage firm, such as TD Ameritrade or tastyworks.

14-Day Historical Data

Date Opening Closing Minimum Maximum
Jun-16 3.06 3.22 3.28 3.06
Jun-17 3.22 3.06 3.25 3.06
Jun-18 3.05 3.02 3.13 3.02
Jun-20 3.04 2.99 3.10 2.93
Jun-23 2.99 2.87 3.02 2.86
Jun-24 2.89 3.06 3.11 2.84
Jun-25 3.01 2.87 3.17 2.86
Jun-26 2.87 2.95 2.96 2.85
Jun-27 2.95 2.96 3.01 2.89
Jun-30 3.02 2.96 3.08 2.93
Jul-1 2.99 2.85 2.99 2.81
Jul-2 2.80 2.90 2.94 2.80
Jul-3 2.89 2.90 3.00 2.89
Jul-7 2.95 2.90 2.98 2.87

Ampco-Pittsburgh Earnings

Data Unavailable

Ampco-Pittsburgh Forecast Revenue Growth

Data Unavailable

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