Financhill
Back

PT Bank BTPN Tbk Stock Predictions

PT Bank BTPN Tbk Stock Forecast

  • Is PT Bank BTPN Tbk Stock Undervalued?
    The current PT Bank BTPN Tbk [BTPNF] share price is $0.18. The Score for BTPNF is 5, which is 90% below its historic median score of 50, and infers higher risk than normal.
  • BTPNF is currently trading in the 0-10% percentile range relative to its historical Stock Score levels.

Will PT Bank BTPN Tbk Stock Go Up Next Year?

Data Unavailable

PT Bank BTPN Tbk Stock Rating

Data Unavailable

PT Bank BTPN Tbk Stock Price History

Is BTPNF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Indonesia
Industry:
Banks
Sector:
Financials
Type:
stock
Website:
btpn.com

52-Week Data

52-Week High:
0.18
52-Week Low:
0.18

Prediction Charts

Market Cap:
1.4B
Price in USD:
0.18
Volume:
0
Beta:
-0.01

Technical Analysis

SMA50:
0.18
SMA100:
0.18
SMA200:
0.18
52-Wk Change:
0%

Stock Predictions

  • Is PT Bank BTPN Tbk stock public?
    Yes, PT Bank BTPN Tbk is a publicly traded company.
  • What is the PT Bank BTPN Tbk stock quote today?
    The PT Bank BTPN Tbk stock price is 0.18 USD today.
  • How to buy PT Bank BTPN Tbk stock online?
    You can buy PT Bank BTPN Tbk 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
Jun-5 0.18 0.18 0.18 0.18
Jun-6 0.18 0.18 0.18 0.18
Jun-7 0.18 0.18 0.18 0.18
Jun-10 0.18 0.18 0.18 0.18
Jun-11 0.18 0.18 0.18 0.18
Jun-12 0.18 0.18 0.18 0.18
Jun-13 0.18 0.18 0.18 0.18
Jun-14 0.18 0.18 0.18 0.18
Jun-17 0.18 0.18 0.18 0.18
Jun-18 0.18 0.18 0.18 0.18
Jun-20 0.18 0.18 0.18 0.18
Jun-21 0.18 0.18 0.18 0.18
Jun-24 0.18 0.18 0.18 0.18
Jun-25 0.18 0.18 0.18 0.18

PT Bank BTPN Tbk Earnings

Data Unavailable

PT Bank BTPN Tbk Forecast Revenue Growth

Data Unavailable

* PT Bank BTPN Tbk stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.