JASH (JASH) Fair Value & Analysis
Industrials · Market cap ₹31.5B
Fair value as of: Jul 3, 2026
From 26 valuation models · updated today
Share price +18.6% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹339.19 – ₹609.66 · fair‑value band ₹113.60 – ₹341.50 · the ₹506.00 price screens above the ₹209.75 fair value. As of Jul 3, 2026.
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JASH (JASH) currently trades at ₹506.00, while our model-based Fair Value estimate is ₹209.75 — implying the stock looks roughly 58.5% 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, JASH generated revenue of ₹7.4B at a net margin of 10.4%. Revenue declined 3.3% year over year. It earns a return on equity of 15.7%. Net debt stands at ₹90.9M. 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
JASH reported revenue of ₹7.4B in FY2026 versus ₹3.7B in FY2022, a compound +19.2%/yr. Reported net income was ₹762M in FY2026, compounding +24.0%/yr from FY2022.
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Similar stocks
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 |
|---|---|---|---|
| GE Vernova Inc GEV | $1,128 | $185.61 | -84% |
| SIEGY SIEGY | $155.10 | $88.93 | -43% |
| SMAWF SMAWF | $307.12 | $176.28 | -43% |
| SMNS SMNS | C$31.76 | C$22.85 | -28% |
| SIE SIE | €279.00 | €140.38 | -50% |
| Schneider Electric S.E. SBGSF | $334.00 | $148.44 | -56% |
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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.