Global Mofy AI (GMM) Key Statistics & Financial Metrics

Global Mofy AI Limited (GMM) statistics include 60+ financial metrics organized into valuation ratios (P/E, P/S, P/B, PEG), profitability margins (gross, operating, net), return metrics (ROE, ROA, ROIC), and financial health indicators. These are updated regularly based on the latest filings and market data.

The valuation section covers market capitalization, earnings multiples like trailing and forward P/E, price-based ratios (P/S, P/B, Price/FCF), and enterprise value ratios (EV/EBITDA, EV/Revenue, EV/FCF). Compare these against sector averages to assess whether Global Mofy AI is overvalued or undervalued.

Global Mofy AI's profitability is measured through profit margins (gross, EBITDA, operating, net) and return metrics (ROE, ROA, ROIC, ROCE). Higher margins indicate better cost control, while higher returns show efficient capital deployment. The income statement and cash flow sections provide the underlying revenue and earnings data.

The financial health section shows Global Mofy AI's leverage through debt-to-equity, debt-to-assets, debt-to-EBITDA, and debt-to-FCF ratios, plus liquidity via the current and quick ratios. Lower debt ratios and higher liquidity ratios generally indicate stronger financial stability and lower default risk.

The dividend section covers Global Mofy AI's dividend yield, payout ratios (earnings-based and FCF-based), year-over-year dividend growth, years of consecutive growth, ex-dividend and pay dates, and payment frequency. The yield metrics section also includes earnings yield, FCF yield, buyback yield, and total shareholder yield.