-
1 Comment
Unicaja Banco, S.A is currently in a long term uptrend where the price is trading 11.6% above its 200 day moving average.
From a valuation standpoint, the stock is 97.3% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.2.
Unicaja Banco, S.A's total revenue sank by 33.5% to $355M since the same quarter in the previous year.
Its net income has dropped by 93.7% to $831K since the same quarter in the previous year.
Based on the above factors, Unicaja Banco, S.A gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | ES0180907000 |
Sector | Financial Services |
Industry | Banks - Regional |
Target Price | None |
---|---|
Market Cap | 4B |
Dividend Yield | 8.3% |
PE Ratio | 7.45 |
Beta | 0.63 |
Unicaja Banco, S.A. engages in the retail banking business in Spain. The company offers current, savings, young person, and payment accounts; term deposits; debit, business, and credit cards; mortgages; study, eco-mobility, mobility vehicle, reform, and home loans; and home, car, health, accident, funeral, company and agro uni, company health, SME and retail damage, corporate liability, agricultural, and life insurance products. It also provides pension plans; investment funds; bill and tax payment, and collection management services; payments; POS products; short-term and medium/long-term financing; ATM, foreign trade facility, and currency management and exchange services; private and personal banking services; and digital and mobile banking services. The company was founded in 1991 and is headquartered in Málaga, Spain.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7UB.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