Mahalaxmi Fabric Mills Limited

As of June 30, 2026, Mahalaxmi Fabric Mills Limited carries a market capitalization of 215.05M, placing it among publicly traded companies globally. Its enterprise value stands at 215.05M, reflecting the total theoretical takeover cost after accounting for cash holdings and debt obligations.

As of June 30, 2026, Mahalaxmi Fabric Mills Limited has 9.78M shares outstanding.

These figures are as of June 30, 2026.

As of June 30, 2026, Mahalaxmi Fabric Mills Limited trades at an EV/EBITDA multiple of 11.75 - the valuation measure that neutralizes differences in capital structure, tax rates, and depreciation policy, making it the standard yardstick for comparing companies across an industry. The EV/Sales ratio of 0.16 reflects the premium investors pay for the company's revenue stream, a useful check when earnings are depressed or negative. These enterprise value multiples are built on an enterprise value of 215.05M versus a market cap of 215.05M, with the gap driven by net debt and cash on the balance sheet.

These figures are as of June 30, 2026.

Over the twelve months ended June 30, 2026, Mahalaxmi Fabric Mills Limited recorded 6.14M in income tax expense. The company reported a pretax loss of -19.57M and -25.71M in bottom-line net income, so the effective tax rate carries little signal until profitability returns.

As of the close on October 22, 2026, Mahalaxmi Fabric Mills Limited's stock has declined approximately 26.50% over the past 52 weeks. The 50-day moving average sits at 19.59, while the 200-day moving average is 22.98.

Over the twelve months ended June 30, 2026, Mahalaxmi Fabric Mills Limited generated 1.32B in revenue and converted that into -25.71M in net income, yielding earnings per share of -2.47. EBITDA reached 18.30M, while operating income came in at 57.68M.

Over the twelve months ended June 30, 2026, Mahalaxmi Fabric Mills Limited posted a gross margin of 59.09, reflecting its pricing power and cost economics. The operating margin of 4.36 and net profit margin of -1.94 provide insight into operational efficiency.