GMMPFAUDLR (GMMPFAUDLR) Fair Value & Analysis
Industrials · Market cap ₹35.1B
Fair value as of: Jul 3, 2026
From 26 valuation models · updated today
Share price −0.7% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹738.20 – ₹1,402 · fair‑value band ₹211.08 – ₹337.60 · the ₹771.45 price screens above the ₹270.08 fair value. As of Jul 3, 2026.
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GMMPFAUDLR (GMMPFAUDLR) currently trades at ₹771.45, while our model-based Fair Value estimate is ₹270.08 — implying the stock looks roughly 65.0% overvalued today. We read business quality at 48/100 (below-average quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
Over the trailing twelve months, GMMPFAUDLR generated revenue of ₹35.2B at a net margin of 1.6%. Revenue grew 17.0% year over year. It earns a return on equity of 4.6%. Net debt stands at ₹3.5B. Fundamentals as of Jul 3, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 3, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
GMMPFAUDLR reported revenue of ₹35.2B in FY2026 versus ₹25.4B in FY2022, a compound +8.5%/yr. Reported net income was ₹578M in FY2026, compounding −9.2%/yr from FY2022.
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6 more Specialty Industrial Machinery stocks, each showing price versus our Fair Value estimate (as of Jul 3, 2026).
| Stock | Price | Fair Value | vs Fair Value |
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| GE Vernova Inc GEV | $867.09 | $297.82 | -66% |
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Frequently asked questions
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.