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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 $3.42. The Score for AP is 43, which is 14% below its historic median score of 50, and infers higher risk than normal.
  • AP is currently trading in the 40-50% 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 moderately bullish 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:
0.74

Prediction Charts

Market Cap:
68.7M
Price in USD:
3.42
Volume:
177.3K
Beta:
1.08

Technical Analysis

SMA50:
2.45
SMA100:
2.33
SMA200:
2.14
52-Wk Change:
178.05%

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 3.42 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
May-20 3.10 2.97 3.43 2.94
May-21 2.96 2.72 3.06 2.70
May-22 2.78 3.00 3.05 2.72
May-23 3.00 2.97 3.09 2.93
May-27 3.06 3.02 3.11 2.85
May-28 3.00 3.00 3.08 2.91
May-29 3.06 3.01 3.13 2.99
May-30 3.04 3.01 3.08 2.94
Jun-2 3.07 3.47 3.59 3.04
Jun-3 3.92 3.51 3.99 3.43
Jun-4 3.55 3.60 3.79 3.42
Jun-5 3.56 3.57 3.65 3.47
Jun-6 3.55 3.70 3.72 3.55
Jun-9 3.75 3.42 3.75 3.22

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.