- Home
- VNOM vs QFIN Comparison
VNOM vs QFIN Comparison
Compare VNOM & QFIN Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Company Overview
Basic Information| Metric | VNOM | QFIN |
|---|---|---|
| Founded | 2013 | 2016 |
| Country | United States | China |
| Employees | N/A | N/A |
| Industry | Oil & Gas Production | Finance: Consumer Services |
| Sector | Energy | Finance |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 8.2B | 1.0B |
| IPO Year | 2025 | 2018 |
Fundamental Metrics
Financial Performance| Metric | VNOM | QFIN |
|---|---|---|
| Price | $44.71 | $8.47 |
| Analyst Decision | Strong Buy | Buy |
| Analyst Count | 14 | 2 |
| Target Price | ★ $54.85 | $22.20 |
| AVG Volume (30 Days) | 1.3M | ★ 2.9M |
| Earning Date | 05-04-2026 | 05-18-2026 |
| Dividend Yield | 4.87% | ★ 12.36% |
| EPS Growth | N/A | ★ N/A |
| EPS | ★ 1.27 | N/A |
| Revenue | ★ $1,395,000,000.00 | N/A |
| Revenue This Year | $69.89 | N/A |
| Revenue Next Year | N/A | N/A |
| P/E Ratio | $35.65 | ★ $2.21 |
| Revenue Growth | ★ 62.02 | N/A |
| 52 Week Low | $35.10 | $8.35 |
| 52 Week High | $51.13 | $32.69 |
Technical Indicators
Market Signals| Indicator | VNOM | QFIN |
|---|---|---|
| Relative Strength Index (RSI) | 54.38 | 24.46 |
| Support Level | $44.38 | $8.35 |
| Resistance Level | $45.76 | $14.28 |
| Average True Range (ATR) | 0.81 | 0.47 |
| MACD | 0.04 | -0.04 |
| Stochastic Oscillator | 46.82 | 3.58 |
Price Performance
Historical Comparison VNOM
QFIN
About VNOM Viper Energy Inc.
Viper Energy Inc is focused on owning and acquiring mineral and royalty interests in oil and natural gas properties in the Permian Basin. The Permian Basin is known to have a number of zones of oil and natural gas-bearing rock throughout.
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.