539835 (539835) Fair Value & Analysis
Other · IN · Market cap ₹450M
Fair value as of: Jul 5, 2026
From 12 valuation models · updated today
Share price −2.9% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹1.23 – ₹2.25 · fair‑value band ₹2.86 – ₹3.81 · the ₹1.99 price screens below the ₹3.81 fair value. As of Jul 5, 2026.
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539835 (539835) currently trades at ₹1.99, while our model-based Fair Value estimate is ₹3.81 — implying the stock looks roughly 91.5% undervalued today. We read business quality at 38/100 (below-average quality), in the Other sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
Net debt stands at ₹447M. 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
FY2022 – FY2026 · reported fiscal years
539835 reported revenue of ₹3.4M in FY2026 versus ₹10.5M in FY2022, a compound −24.2%/yr. Reported net income was ₹477K in FY2026, compounding −29.2%/yr from FY2022.
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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 |
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| There MOH | €521.90 | €269.92 | -48% |
| Sony Corporation SON1 | €17.58 | €37.56 | +114% |
| 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.