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MTR vs BFRG Comparison
Compare MTR & BFRG Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Company Overview
Basic Information| Metric | MTR | BFRG |
|---|---|---|
| Founded | 1979 | 2017 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Oil & Gas Production | Retail: Computer Software & Peripheral Equipment |
| Sector | Energy | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 7.9M | 9.2M |
| IPO Year | N/A | 2023 |
Fundamental Metrics
Financial Performance| Metric | MTR | BFRG |
|---|---|---|
| Price | $4.88 | $0.47 |
| Analyst Decision | | |
| Analyst Count | 0 | 0 |
| Target Price | N/A | N/A |
| AVG Volume (30 Days) | 16.1K | ★ 283.3K |
| Earning Date | 03-31-2026 | 03-13-2026 |
| Dividend Yield | ★ 4.79% | N/A |
| EPS Growth | N/A | ★ N/A |
| EPS | ★ 0.23 | N/A |
| Revenue | ★ $623,288.00 | $116,670.00 |
| Revenue This Year | N/A | N/A |
| Revenue Next Year | N/A | N/A |
| P/E Ratio | $21.25 | ★ N/A |
| Revenue Growth | N/A | ★ N/A |
| 52 Week Low | $4.03 | $0.43 |
| 52 Week High | $10.42 | $4.84 |
Technical Indicators
Market Signals| Indicator | MTR | BFRG |
|---|---|---|
| Relative Strength Index (RSI) | 55.54 | 29.71 |
| Support Level | $4.65 | $0.43 |
| Resistance Level | $4.90 | $0.59 |
| Average True Range (ATR) | 0.19 | 0.07 |
| MACD | -0.00 | -0.01 |
| Stochastic Oscillator | 46.56 | 9.83 |
Price Performance
Historical ComparisonAbout MTR Mesa Royalty Trust
Mesa Royalty Trust holds net overriding royalty interests in various oil and gas properties located in the: Hugoton field of Kansas, San Juan Basin field of New Mexico, and San Juan Basin Field of Colorado.
About BFRG Bullfrog AI Holdings Inc.
Bullfrog AI Holdings Inc is a clinical-phase Biotechnology company using machine learning to advance medicine and improve human health. It uses artificial intelligence and machine learning to advance medicines for both internal and external projects. Its platform technology, named, bfLEAP, is an analytical AI/ML platform that is able to surmount the challenges of scalability and flexibility currently hindering researchers and clinicians by providing a more precise1, multi-dimensional understanding of its data.