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HAFN vs QFIN Comparison
Compare HAFN & QFIN Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Company Overview
Basic Information| Metric | HAFN | QFIN |
|---|---|---|
| Founded | 2012 | 2016 |
| Country | Singapore | China |
| Employees | N/A | N/A |
| Industry | | Finance: Consumer Services |
| Sector | | Finance |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 3.7B | 1.0B |
| IPO Year | 2020 | 2018 |
Fundamental Metrics
Financial Performance| Metric | HAFN | QFIN |
|---|---|---|
| Price | $10.03 | $6.45 |
| Analyst Decision | Buy | Buy |
| Analyst Count | 2 | 13 |
| Target Price | $10.25 | ★ $14.80 |
| AVG Volume (30 Days) | ★ 2.7M | 1.6M |
| Earning Date | 08-28-2026 | 11-17-2026 |
| Dividend Yield | 11.18% | ★ 23.28% |
| 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 | N/A | N/A |
| P/E Ratio | $11.39 | ★ $2.21 |
| Revenue Growth | N/A | N/A |
| 52 Week Low | $5.17 | $6.73 |
| 52 Week High | $10.10 | $30.81 |
Technical Indicators
Market Signals| Indicator | HAFN | QFIN |
|---|---|---|
| Relative Strength Index (RSI) | 59.90 | 15.70 |
| Support Level | $8.45 | N/A |
| Resistance Level | $10.10 | $14.03 |
| Average True Range (ATR) | 0.26 | 0.25 |
| MACD | -0.03 | 0.01 |
| Stochastic Oscillator | 74.48 | 3.05 |
Price Performance
Historical ComparisonAbout HAFN Hafnia Limited
Hafnia Ltd is one of the tanker owners, transporting oil, oil products and chemicals for national and international oil companies, chemical companies, as well as trading and utility companies. As owners and operators of around 200 vessels, It offers a fully integrated shipping platform, including technical management, commercial and chartering services, pool management, and a large-scale bunker procurement desk. Company manages it's business through the following reporting segments: LR2 tankers, LR1 tankers, MR tankers, Handy tankers.
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.