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CNX vs QFIN Comparison
Compare CNX & QFIN Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Company Overview
Basic Information| Metric | CNX | QFIN |
|---|---|---|
| Founded | 1860 | 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 | 5.3B | 1.0B |
| IPO Year | 1998 | 2018 |
Fundamental Metrics
Financial Performance| Metric | CNX | QFIN |
|---|---|---|
| Price | $33.01 | $7.33 |
| Analyst Decision | Sell | Buy |
| Analyst Count | 7 | 2 |
| Target Price | ★ $35.71 | $22.20 |
| AVG Volume (30 Days) | 1.5M | ★ 2.0M |
| Earning Date | 04-30-2026 | 05-18-2026 |
| Dividend Yield | N/A | ★ 12.36% |
| EPS Growth | ★ 763.33 | N/A |
| EPS | ★ 3.56 | N/A |
| Revenue | ★ $2,239,134,000.00 | N/A |
| Revenue This Year | N/A | N/A |
| Revenue Next Year | $11.14 | N/A |
| P/E Ratio | $9.38 | ★ $2.21 |
| Revenue Growth | ★ 76.76 | N/A |
| 52 Week Low | $31.47 | $7.44 |
| 52 Week High | $43.62 | $31.08 |
Technical Indicators
Market Signals| Indicator | CNX | QFIN |
|---|---|---|
| Relative Strength Index (RSI) | 32.19 | 19.35 |
| Support Level | $32.83 | N/A |
| Resistance Level | $34.38 | $14.03 |
| Average True Range (ATR) | 0.94 | 0.26 |
| MACD | -0.34 | 0.05 |
| Stochastic Oscillator | 11.35 | 0.57 |
Price Performance
Historical ComparisonAbout CNX CNX Resources Corporation
CNX Resources Corp is an independent natural gas development, production, midstream and technology company centered in the Appalachian Basin. It is focused on unconventional shale formations, prominently the Marcellus Shale and Utica Shale, in Pennsylvania, Ohio and West Virginia. Additionally, the company operates and develops Coalbed Methane (CBM) properties in Virginia. the company has two reportable segments: Shale and Coalbed Methane. The majority of the company's revenue is derived from the Shale 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.