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Ginebra San Miguel Stock Predictions

Ginebra San Miguel Stock Forecast

  • Is Ginebra San Miguel Stock Undervalued?
    The current Ginebra San Miguel [GBSMF] share price is $2.09. The Score for GBSMF is 43, which is 14% below its historic median score of 50, and infers higher risk than normal.
  • GBSMF is currently trading in the 40-50% percentile range relative to its historical Stock Score levels.

Will Ginebra San Miguel Stock Go Up Next Year?

Data Unavailable

Ginebra San Miguel Stock Rating

Data Unavailable

Ginebra San Miguel Stock Price History

Is GBSMF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Philippines
Industry:
Beverages
Sector:
Consumer Staples
Type:
stock
Website:
ginebrasanmiguel.com

52-Week Data

52-Week High:
2.09
52-Week Low:
2.09

Prediction Charts

Market Cap:
598.34M
Price in USD:
2.09
Volume:
0
Beta:
0.06

Technical Analysis

SMA50:
2.09
SMA100:
2.09
SMA200:
2.09
52-Wk Change:
0%

Stock Predictions

  • Is Ginebra San Miguel stock public?
    Yes, Ginebra San Miguel is a publicly traded company.
  • What is the Ginebra San Miguel stock quote today?
    The Ginebra San Miguel stock price is 2.09 USD today.
  • How to buy Ginebra San Miguel stock online?
    You can buy Ginebra San Miguel 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-22 2.09 2.09 2.09 2.09
Nov-25 2.09 2.09 2.09 2.09
Nov-26 2.09 2.09 2.09 2.09
Nov-27 2.09 2.09 2.09 2.09
Nov-29 2.09 2.09 2.09 2.09
Dec-2 2.09 2.09 2.09 2.09
Dec-3 2.09 2.09 2.09 2.09
Dec-4 2.09 2.09 2.09 2.09
Dec-5 2.09 2.09 2.09 2.09
Dec-6 2.09 2.09 2.09 2.09
Dec-9 2.09 2.09 2.09 2.09
Dec-10 2.09 2.09 2.09 2.09
Dec-11 2.09 2.09 2.09 2.09
Dec-12 2.09 2.09 2.09 2.09

Ginebra San Miguel Earnings

Data Unavailable

Ginebra San Miguel Forecast Revenue Growth

Data Unavailable

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