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Aareal Bank AG Stock Predictions

Aareal Bank AG Stock Forecast

  • Is Aareal Bank AG Stock Undervalued?
    The current Aareal Bank AG [AABKF] share price is $31.99. The Score for AABKF is 8, which is 84% below its historic median score of 50, and infers higher risk than normal.
  • AABKF is currently trading in the 0-10% percentile range relative to its historical Stock Score levels.

Will Aareal Bank AG Stock Go Up Next Year?

Data Unavailable

Aareal Bank AG Stock Rating

Data Unavailable

Aareal Bank AG Stock Price History

Is AABKF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Germany
Industry:
Sector:
Type:
stock
Website:
aareal-bank.com

52-Week Data

52-Week High:
31.99
52-Week Low:
31.99

Prediction Charts

Market Cap:
1.91B
Price in USD:
31.99
Volume:
0
Beta:
0.00

Technical Analysis

SMA50:
31.99
SMA100:
31.99
SMA200:
0.00
52-Wk Change:
0%

Stock Predictions

  • Is Aareal Bank AG stock public?
    Yes, Aareal Bank AG is a publicly traded company.
  • What is the Aareal Bank AG stock quote today?
    The Aareal Bank AG stock price is 31.99 USD today.
  • How to buy Aareal Bank AG stock online?
    You can buy Aareal Bank AG 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-7 31.99 31.99 31.99 31.99
Nov-8 31.99 31.99 31.99 31.99
Nov-11 31.99 31.99 31.99 31.99
Nov-12 31.99 31.99 31.99 31.99
Nov-13 31.99 31.99 31.99 31.99
Nov-14 31.99 31.99 31.99 31.99
Nov-15 31.99 31.99 31.99 31.99
Nov-18 31.99 31.99 31.99 31.99
Nov-19 31.99 31.99 31.99 31.99
Nov-20 31.99 31.99 31.99 31.99
Nov-21 31.99 31.99 31.99 31.99
Nov-22 31.99 31.99 31.99 31.99
Nov-25 31.99 31.99 31.99 31.99
Nov-26 31.99 31.99 31.99 31.99

Aareal Bank AG Earnings

Data Unavailable

Aareal Bank AG Forecast Revenue Growth

Data Unavailable

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