-
1 Comment
PT Astrindo Nusantara Infrastruktur Tbk is currently in a long term downtrend where the price is trading 5.2% below its 200 day moving average.
From a valuation standpoint, the stock is 97.4% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.4.
PT Astrindo Nusantara Infrastruktur Tbk's total revenue rose by 19.7% to $19M since the same quarter in the previous year.
Its net income has increased by 85.4% to $6M since the same quarter in the previous year.
Finally, its free cash flow fell by 21.9% to $6M since the same quarter in the previous year.
Based on the above factors, PT Astrindo Nusantara Infrastruktur Tbk gets an overall score of 3/5.
ISIN | None |
---|---|
Sector | |
Industry | |
Exchange | F |
CurrencyCode | EUR |
PE Ratio | 0.0 |
---|---|
Target Price | None |
Dividend Yield | 0.0% |
Beta | 0.46 |
Market Cap | 130M |
PT Astrindo Nusantara Infrastruktur Tbk, together with its subsidiaries, operates in mining infrastructure in Indonesia. The company operates through Port services; and Coal Mining and Others segments. It provides coal-mining facilities, including harbors and crushers. It also operates two ports in South Kalimantan and one port in East Kalimantan. In addition, it engages in the exploration, production, and infrastructure of coal mining; construction and trading activities; and rental of coal harbor and facilities. The company was formerly known as PT Benakat Integra Tbk and changed its name to PT Astrindo Nusantara Infrastruktur Tbk in May 2018. PT Astrindo Nusantara Infrastruktur Tbk was founded in 2007 and is based in Jakarta, Indonesia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for J9B.F using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025