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Vitro SAB de CV Stock Predictions

Vitro SAB de CV Stock Forecast

  • Is Vitro SAB de CV Stock Undervalued?
    The current Vitro SAB de CV [VITOF] share price is $0.66. The Score for VITOF is 36, which is 28% below its historic median score of 50, and infers higher risk than normal.
  • VITOF is currently trading in the 30-40% percentile range relative to its historical Stock Score levels.

Will Vitro SAB de CV Stock Go Up Next Year?

Data Unavailable

Vitro SAB de CV Stock Rating

Data Unavailable

Vitro SAB de CV Stock Price History

Is VITOF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Mexico
Industry:
Containers & Packaging
Sector:
Materials
Type:
stock
Website:
vitro.com

52-Week Data

52-Week High:
1.00
52-Week Low:
0.65

Prediction Charts

Market Cap:
310.22M
Price in USD:
0.66
Volume:
0
Beta:
-9.12

Technical Analysis

SMA50:
0.66
SMA100:
0.66
SMA200:
0.67
52-Wk Change:
-34%

Stock Predictions

  • Is Vitro SAB de CV stock public?
    Yes, Vitro SAB de CV is a publicly traded company.
  • What is the Vitro SAB de CV stock quote today?
    The Vitro SAB de CV stock price is 0.66 USD today.
  • How to buy Vitro SAB de CV stock online?
    You can buy Vitro SAB 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-1 0.66 0.66 0.66 0.66
Nov-4 0.66 0.66 0.66 0.66
Nov-5 0.66 0.66 0.66 0.66
Nov-6 0.66 0.66 0.66 0.66
Nov-7 0.66 0.66 0.66 0.66
Nov-8 0.66 0.66 0.66 0.66
Nov-11 0.66 0.66 0.66 0.66
Nov-12 0.66 0.66 0.66 0.66
Nov-13 0.66 0.66 0.66 0.66
Nov-14 0.66 0.66 0.66 0.66
Nov-15 0.66 0.66 0.66 0.66
Nov-18 0.66 0.66 0.66 0.66
Nov-19 0.66 0.66 0.66 0.66
Nov-20 0.66 0.66 0.66 0.66

Vitro SAB de CV Earnings

Data Unavailable

Vitro SAB de CV Forecast Revenue Growth

Data Unavailable

* Vitro SAB 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.