$9.150
+0.937 (+10.24%)At close
MF Profitability and Margins
Evaluating the bottom line, MindForge Inc maintains a gross margin of 0.26%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -87.63%, while the net margin is -87.34%. These profitability ratios, combined with a Return on Equity (ROE) of N/A, provide a clear picture of how effectively MF converts its operational activities into shareholder value.
MF Comparative Benchmarking
In the context of the broader market, MF competes directly with industry leaders such as MCHX and IZEA. With a market capitalization of $66.12M, it holds a leading position in the sector. When comparing efficiency, MF's gross margin of 0.26% stands against MCHX's 59.97% and IZEA's 34.73%. Such benchmarking helps identify whether MindForge Inc is trading at a premium or discount relative to its financial performance.
MindForge Inc. Financial Performance
The current ratio is very strong at 20.55, indicating excellent short-term financial health. However, the company has reported negative earnings per share (EPS) for the last two quarters, with -8.95 in Q2 2026, which raises caution about profitability.
Financials
Related articles
- 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.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.