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St Barbara Stock Predictions

St Barbara Stock Forecast

  • Is St Barbara Stock Undervalued?
    The current St Barbara [STBMF] share price is $0.18. The Score for STBMF is 59, which is 18% above its historic median score of 50, and infers lower risk than normal.
  • STBMF is currently trading in the 50-60% percentile range relative to its historical Stock Score levels.

Will St Barbara Stock Go Up Next Year?

Data Unavailable

St Barbara Stock Rating

Data Unavailable

St Barbara Stock Price History

Is STBMF stock going to rise?

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and STBMF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Australia
Industry:
Metals & Mining
Sector:
Materials
Type:
stock
Website:
stbarbara.com.au

52-Week Data

52-Week High:
0.45
52-Week Low:
0.05

Prediction Charts

Market Cap:
147.15M
Price in USD:
0.18
Volume:
0
Beta:
6.38

Technical Analysis

SMA50:
0.12
SMA100:
0.10
SMA200:
0.12
52-Wk Change:
-55.71%

Stock Predictions

  • Is St Barbara stock public?
    Yes, St Barbara is a publicly traded company.
  • What is the St Barbara stock quote today?
    The St Barbara stock price is 0.18 USD today.
  • How to buy St Barbara stock online?
    You can buy St Barbara 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
Apr-18 0.10 0.10 0.10 0.10
Apr-19 0.10 0.10 0.10 0.10
Apr-22 0.20 0.18 0.20 0.18
Apr-23 0.18 0.18 0.18 0.18
Apr-24 0.18 0.18 0.18 0.18
Apr-25 0.18 0.18 0.18 0.18
Apr-26 0.18 0.18 0.18 0.18
Apr-29 0.18 0.18 0.18 0.18
Apr-30 0.18 0.18 0.18 0.18
May-1 0.18 0.18 0.18 0.18
May-2 0.18 0.18 0.18 0.18
May-3 0.18 0.18 0.18 0.18
May-6 0.18 0.18 0.18 0.18
May-7 0.18 0.18 0.18 0.18

St Barbara Earnings

Data Unavailable

St Barbara Forecast Revenue Growth

Data Unavailable

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