539799 (539799) Fair Value & Analysis
Other · IN · Market cap ₹901M
Fair value as of: Jul 5, 2026
From 23 valuation models · updated today
Share price −1.5% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹153.60 – ₹252.60 · fair‑value band ₹95.39 – ₹225.59 · the ₹212.20 price screens above the ₹150.64 fair value. As of Jul 5, 2026.
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539799 (539799) currently trades at ₹212.20, while our model-based Fair Value estimate is ₹150.64 — implying the stock looks roughly 29.0% overvalued today. We read business quality at 51/100 (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).
Net debt stands at ₹742M. Fundamentals as of Jul 5, 2026
Key figures & financial health
Figures from reported company fundamentals (EODHD) · as of Jul 5, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
539799 reported revenue of ₹5.9B in FY2025 versus ₹4.1B in FY2021, a compound +9.5%/yr. Reported net income was ₹725M in FY2025, compounding +51.7%/yr from FY2021.
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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 | €269.92 | -48% |
| Sony Corporation SON1 | €17.58 | €39.38 | +124% |
| Federal Home Loan Mortgage Corporation FREJO | $16.84 | $64.93 | +286% |
| 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.