$0.389
+0.025 (+6.39%)Al cierre
Rentabilidad y márgenes de GXAI
Evaluating the bottom line, Gaxos.ai Inc. maintains a gross margin of 100.00%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -75.88%, while the net margin is -0.90%. These profitability ratios, combined with a Return on Equity (ROE) of -24.09%, provide a clear picture of how effectively GXAI converts its operational activities into shareholder value.
Comparativa sectorial de GXAI
In the context of the broader market, GXAI competes directly with industry leaders such as VWAV and BTTC. With a market capitalization of $5.35M, it holds a leading position in the sector. When comparing efficiency, GXAI's gross margin of 100.00% stands against VWAV's -2877.63% and BTTC's 26.76%. Such benchmarking helps identify whether Gaxos.ai Inc. is trading at a premium or discount relative to its financial performance.
Desempeño financiero de Gaxos.ai Inc.
Gaxos.AI has shown a gross margin of 100% consistently, indicating strong revenue generation relative to its costs. However, the company has been operating at a loss, with a net income of -$2,172,525 in Q1 2026, which raises concerns about its profitability.
Financials
Artículos relacionados
- Stock Market After the 2026 Midterms: What a Democratic Congress Means for InvestorsDemocrats swept Congress in the 2026 midterms. See how stocks reacted, what history says about post-midterm returns, and which sectors face new risks.
- How to Rebalance a Concentrated Stock Portfolio in 2026: Mag7 Drift, Tax-Aware Trims, and Practical Rebalance a concentrated stock portfolio in 2026: Mag7 drift risk, 5pp bands, tax-aware trims, RSP/IWM diversifiers, and single-name caps.
- Small Cap Stocks Investing Guide 2026: Russell 2000, Fed Hikes, and the Financing TradeSmall-cap stocks investing guide 2026: Russell 2000 vs S&P, IWM rate sensitivity, floating-rate debt, Fed hikes, valuation discounts, and a practical checklist.
Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.