540902 (540902) Fair Value & Analysis
Other · IN · Market cap ₹46.5B
Fair value as of: Jul 5, 2026
From 23 valuation models · updated today
Share price −0.3% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹5,527 – ₹8,839 · fair‑value band ₹5,002 – ₹9,453 · the ₹7,482 price screens above the ₹6,669 fair value. As of Jul 5, 2026.
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540902 (540902) currently trades at ₹7,482, while our model-based Fair Value estimate is ₹6,669 — implying the stock looks roughly 10.9% overvalued today. We read business quality at 56/100 (solid quality), in the Other 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).
The stock trades on a trailing P/E of 28.3. Fundamentals as of Jul 5, 2026
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
540902 reported revenue of ₹99.7B in FY2024 versus ₹30.3B in FY2020, a compound +34.7%/yr. Reported net income was ₹2.4B in FY2024, compounding +31.4%/yr from FY2020.
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Similar stocks
6 more Other stocks, each showing price versus our Fair Value estimate (as of Jul 5, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| There MOH | €521.90 | €209.16 | -60% |
| Sony Corporation SON1 | €17.58 | €37.56 | +114% |
| Federal Home Loan Mortgage Corporation FREJO | $16.84 | $28.75 | +71% |
| 533278 533278 | ₹438.60 | ₹720.31 | +64% |
| Nestl?? India Limited 500790 | ₹1,459 | ₹279.60 | -81% |
| 540376 540376 | ₹3,993 | ₹1,806 | -55% |
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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.