Financhill
Back

Ascopiave SpA Stock Predictions

Ascopiave SpA Stock Forecast

  • Is Ascopiave SpA Stock Undervalued?
    The current Ascopiave SpA [ASCOF] share price is $3.33. The Score for ASCOF is 52, which is 4% above its historic median score of 50, and infers lower risk than normal.
  • ASCOF is currently trading in the 50-60% percentile range relative to its historical Stock Score levels.

Will Ascopiave SpA Stock Go Up Next Year?

Data Unavailable

Ascopiave SpA Stock Rating

Data Unavailable

Ascopiave SpA Stock Price History

Is ASCOF stock going to rise?

  • The current trend is relatively stagnant and ASCOF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Italy
Industry:
Gas Utilities
Sector:
Utilities
Type:
stock
Website:
ascopiave.it/

52-Week Data

52-Week High:
3.35
52-Week Low:
2.92

Prediction Charts

Market Cap:
720.7M
Price in USD:
3.33
Volume:
0
Beta:
0.13

Technical Analysis

SMA50:
3.33
SMA100:
3.33
SMA200:
3.34
52-Wk Change:
-30.91%

Stock Predictions

  • Is Ascopiave SpA stock public?
    Yes, Ascopiave SpA is a publicly traded company.
  • What is the Ascopiave SpA stock quote today?
    The Ascopiave SpA stock price is 3.33 USD today.
  • How to buy Ascopiave SpA stock online?
    You can buy Ascopiave SpA 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
Nov-17 3.33 3.33 3.33 3.33
Nov-18 3.33 3.33 3.33 3.33
Nov-19 3.33 3.33 3.33 3.33
Nov-20 3.33 3.33 3.33 3.33
Nov-21 3.33 3.33 3.33 3.33
Nov-24 3.33 3.33 3.33 3.33
Nov-25 3.33 3.33 3.33 3.33
Nov-26 3.33 3.33 3.33 3.33
Nov-28 3.33 3.33 3.33 3.33
Dec-1 3.33 3.33 3.33 3.33
Dec-2 3.33 3.33 3.33 3.33
Dec-3 3.33 3.33 3.33 3.33
Dec-4 3.33 3.33 3.33 3.33
Dec-5 3.33 3.33 3.33 3.33

Ascopiave SpA Earnings

Data Unavailable

Ascopiave SpA Forecast Revenue Growth

Data Unavailable

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