- Home
- MTCH vs QFIN Comparison
MTCH vs QFIN Comparison
Compare MTCH & QFIN Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Company Overview
Basic Information| Metric | MTCH | QFIN |
|---|---|---|
| Founded | 1986 | 2016 |
| Country | United States | China |
| Employees | N/A | N/A |
| Industry | Computer Software: Programming Data Processing | Finance: Consumer Services |
| Sector | Technology | Finance |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 9.6B | 1.0B |
| IPO Year | 2004 | 2018 |
Fundamental Metrics
Financial Performance| Metric | MTCH | QFIN |
|---|---|---|
| Price | $41.12 | $7.37 |
| Analyst Decision | Hold | Buy |
| Analyst Count | 12 | 2 |
| Target Price | ★ $35.17 | $22.20 |
| AVG Volume (30 Days) | ★ 3.2M | 2.0M |
| Earning Date | 05-05-2026 | 05-18-2026 |
| Dividend Yield | 2.16% | ★ 12.36% |
| EPS Growth | ★ 17.82 | N/A |
| EPS | ★ 1.37 | N/A |
| Revenue | ★ $3,487,197,000.00 | N/A |
| Revenue This Year | $2.15 | N/A |
| Revenue Next Year | $3.82 | N/A |
| P/E Ratio | $29.78 | ★ $2.21 |
| Revenue Growth | ★ 0.22 | N/A |
| 52 Week Low | $28.81 | $7.44 |
| 52 Week High | $44.94 | $31.08 |
Technical Indicators
Market Signals| Indicator | MTCH | QFIN |
|---|---|---|
| Relative Strength Index (RSI) | 47.75 | 19.74 |
| Support Level | $40.11 | N/A |
| Resistance Level | $41.64 | $14.03 |
| Average True Range (ATR) | 1.30 | 0.25 |
| MACD | -0.37 | 0.05 |
| Stochastic Oscillator | 30.05 | 2.05 |
Price Performance
Historical ComparisonAbout MTCH Match Group Inc.
Match Group Inc is a provider of online dating products. The company's portfolio of brands includes Tinder, Hinge, Match, Meetic, OkCupid, Pairs, Plenty Of Fish, Azar, BLK, and more, each built to increase its user's likelihood of connecting with others. The company has four operating segments: Tinder, Hinge, Evergreen and Emerging, and Match Group Asia. It generates the majority of its revenue from the Tinder segment.
About QFIN Qifu Technology Inc.
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.