Compare IRS & QFIN Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
IRSA Inversiones Y Representaciones S.A. Global Depositary Shares (Each representing ten shares of)
Current Price
| Metric | IRS | QFIN |
|---|---|---|
| Founded | 1943 | 2016 |
| Country | Argentina | China |
| Employees | N/A | N/A |
| Industry | Homebuilding | Finance: Consumer Services |
| Sector | Real Estate | Finance |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 1.2B | 1.0B |
| IPO Year | 1998 | 2018 |
| Metric | IRS | QFIN |
|---|---|---|
| Price | $14.30 | $5.56 |
| Analyst Decision | Buy | Buy |
| Analyst Count | 3 | 13 |
| Target Price | ★ $21.87 | $14.82 |
| AVG Volume (30 Days) | 170.6K | ★ 1.9M |
| Earning Date | 11-05-2026 | 11-17-2026 |
| Dividend Yield | 9.87% | ★ 27.51% |
| EPS Growth | N/A | N/A |
| EPS | N/A | N/A |
| Revenue | N/A | N/A |
| Revenue This Year | N/A | N/A |
| Revenue Next Year | $7.14 | N/A |
| P/E Ratio | $3.66 | ★ $2.21 |
| Revenue Growth | N/A | N/A |
| 52 Week Low | $11.26 | $5.57 |
| 52 Week High | $19.14 | $27.59 |
| Indicator | IRS | QFIN |
|---|---|---|
| Relative Strength Index (RSI) | 44.29 | 17.32 |
| Support Level | $13.28 | N/A |
| Resistance Level | $16.10 | $14.03 |
| Average True Range (ATR) | 0.46 | 0.24 |
| MACD | 0.04 | 0.05 |
| Stochastic Oscillator | 54.67 | 1.12 |
IRSA Inversiones y Representaciones SA is engaged in a diversified business. The company's operating segments include Shopping Malls, which comprise lease and service revenues principally related to the rental of commercial and other spaces in the company's shopping malls; Offices, which include lease revenues and other service revenues related to office activities; Sales and Developments, which include the development, maintenance, and sales of undeveloped parcels of land and/or trading properties; Hotels, which mainly include revenues from rooms, catering, and restaurants; and others. The company generates the majority of its revenue from the Shopping Malls segment.
Qfin Holdings Inc is engaged in matching individual borrowers with credit demand to a diversified pool of financial institutions with credit to supply through a financial technology platform. It has released large-scale financial credit multimodal benchmark, building a critical bridge between credit AI research and real-world applications.