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Regional SA de Cv Stock Predictions

Regional SA de Cv Stock Forecast

  • Is Regional SA de Cv Stock Undervalued?
    The current Regional SA de Cv [RGNLF] share price is $8.78. The Score for RGNLF is 1, which is 98% below its historic median score of 50, and infers higher risk than normal.
  • RGNLF is currently trading in the 0-10% percentile range relative to its historical Stock Score levels.

Will Regional SA de Cv Stock Go Up Next Year?

Data Unavailable

Regional SA de Cv Stock Rating

Data Unavailable

Regional SA de Cv Stock Price History

Is RGNLF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Mexico
Industry:
Banks
Sector:
Financials
Type:
stock
Website:
regional.mx

52-Week Data

52-Week High:
9.85
52-Week Low:
8.78

Prediction Charts

Market Cap:
2.88B
Price in USD:
8.78
Volume:
0
Beta:
0.15

Technical Analysis

SMA50:
8.78
SMA100:
8.78
SMA200:
8.42
52-Wk Change:
0%

Stock Predictions

  • Is Regional SA de Cv stock public?
    Yes, Regional SA de Cv is a publicly traded company.
  • What is the Regional SA de Cv stock quote today?
    The Regional SA de Cv stock price is 8.78 USD today.
  • How to buy Regional SA de Cv stock online?
    You can buy Regional SA de Cv 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-11 8.78 8.78 8.78 8.78
Nov-12 8.78 8.78 8.78 8.78
Nov-13 8.78 8.78 8.78 8.78
Nov-14 8.78 8.78 8.78 8.78
Nov-15 8.78 8.78 8.78 8.78
Nov-18 8.78 8.78 8.78 8.78
Nov-19 8.78 8.78 8.78 8.78
Nov-20 8.78 8.78 8.78 8.78
Nov-21 8.78 8.78 8.78 8.78
Nov-22 8.78 8.78 8.78 8.78
Nov-25 8.78 8.78 8.78 8.78
Nov-26 8.78 8.78 8.78 8.78
Nov-27 8.78 8.78 8.78 8.78
Nov-29 8.78 8.78 8.78 8.78

Regional SA de Cv Earnings

Data Unavailable

Regional SA de Cv Forecast Revenue Growth

Data Unavailable

* Regional SA de Cv stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.