$12.380
+0.510 (+4.12%)Al cierre
Rentabilidad y márgenes de PAMT
Evaluating the bottom line, PAMT Corp 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 -6.66%, while the net margin is -4.52%. These profitability ratios, combined with a Return on Equity (ROE) of -18.88%, provide a clear picture of how effectively PAMT converts its operational activities into shareholder value.
Comparativa sectorial de PAMT
In the context of the broader market, PAMT competes directly with industry leaders such as PAL and ZDAI. With a market capitalization of $259.24M, it holds a leading position in the sector. When comparing efficiency, PAMT's gross margin of 100.00% stands against PAL's 28.22% and ZDAI's -21.50%. Such benchmarking helps identify whether PAMT Corp is trading at a premium or discount relative to its financial performance.
Desempeño financiero de PAMT Corp
PAMT has shown revenue growth, with Q2 2026 revenue at $164.65 million, an 8.9% increase year-over-year, but continues to face significant net losses, including a diluted loss per share of $0.45 in Q4 2026.
Financials
Artículos relacionados
- 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.
- Santa Claus Rally and the Year-End Stock Market: Investor Guide for Late 2026Santa Claus rally explained: 7-day window stats since 1950, Nov–Dec seasonality, post-midterm 2026 setup, and a risk-managed year-end investing playbook.
Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.