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ForFarmers NV Stock Predictions

ForFarmers NV Stock Forecast

  • Is ForFarmers NV Stock Undervalued?
    The current ForFarmers NV [FRFBF] share price is $3.17. The Score for FRFBF is 17, which is 66% below its historic median score of 50, and infers higher risk than normal.
  • FRFBF is currently trading in the 10-20% percentile range relative to its historical Stock Score levels.

Will ForFarmers NV Stock Go Up Next Year?

Data Unavailable

ForFarmers NV Stock Rating

Data Unavailable

ForFarmers NV Stock Price History

Is FRFBF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Netherlands
Industry:
Food Products
Sector:
Consumer Staples
Type:
stock
Website:
forfarmersgroup.eu

52-Week Data

52-Week High:
3.17
52-Week Low:
3.17

Prediction Charts

Market Cap:
281.42M
Price in USD:
3.17
Volume:
0
Beta:
0.00

Technical Analysis

SMA50:
3.17
SMA100:
3.17
SMA200:
3.17
52-Wk Change:
0%

Stock Predictions

  • Is ForFarmers NV stock public?
    Yes, ForFarmers NV is a publicly traded company.
  • What is the ForFarmers NV stock quote today?
    The ForFarmers NV stock price is 3.17 USD today.
  • How to buy ForFarmers NV stock online?
    You can buy ForFarmers NV 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-4 3.17 3.17 3.17 3.17
Nov-5 3.17 3.17 3.17 3.17
Nov-6 3.17 3.17 3.17 3.17
Nov-7 3.17 3.17 3.17 3.17
Nov-8 3.17 3.17 3.17 3.17
Nov-11 3.17 3.17 3.17 3.17
Nov-12 3.17 3.17 3.17 3.17
Nov-13 3.17 3.17 3.17 3.17
Nov-14 3.17 3.17 3.17 3.17
Nov-15 3.17 3.17 3.17 3.17
Nov-18 3.17 3.17 3.17 3.17
Nov-19 3.17 3.17 3.17 3.17
Nov-20 3.17 3.17 3.17 3.17
Nov-21 3.17 3.17 3.17 3.17

ForFarmers NV Earnings

Data Unavailable

ForFarmers NV Forecast Revenue Growth

Data Unavailable

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