-
1 Comment
Companhia de Saneamento Básico do Estado de São Paulo - SABESP is currently in a long term downtrend where the price is trading 13.7% below its 200 day moving average.
From a valuation standpoint, the stock is 83.4% cheaper than other stocks from the Utilities sector with a price to sales ratio of 1.6.
Companhia de Saneamento Básico do Estado de São Paulo - SABESP's total revenue rose by 18.6% to $4B since the same quarter in the previous year.
Its net income has dropped by 60.1% to $422M since the same quarter in the previous year.
Finally, its free cash flow grew by 151.1% to $1B since the same quarter in the previous year.
Based on the above factors, Companhia de Saneamento Básico do Estado de São Paulo - SABESP gets an overall score of 3/5.
Industry | Utilities - Regulated Water |
---|---|
Exchange | NYSE |
CurrencyCode | USD |
ISIN | US20441A1025 |
Sector | Utilities |
Market Cap | 14B |
---|---|
Beta | 0.14 |
PE Ratio | 8.24 |
Target Price | 21.932 |
Dividend Yield | None |
Companhia de Saneamento Básico do Estado de São Paulo - SABESP provides basic and environmental sanitation services in the São Paulo State, Brazil. The company supplies treated water and sewage services to residential, commercial, and industrial private customers, as well as public. As of December 31, 2023, it provided water services through 10.3 million water connections; and sewage services through 8.8 million sewage connections in 376 municipalities of the São Paulo State. The company was founded in 1954 and is headquartered in São Paulo, Brazil.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SBS 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