ICEMAKE (ICEMAKE) Fair Value & Analysis
Industrials · Market cap ₹12.5B
Fair value as of: Jul 3, 2026
From 16 valuation models · updated today
Share price +2.6% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹665.40 – ₹885.95 · fair‑value band ₹121.68 – ₹202.80 · the ₹790.80 price screens above the ₹162.24 fair value. As of Jul 3, 2026.
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ICEMAKE (ICEMAKE) currently trades at ₹790.80, while our model-based Fair Value estimate is ₹162.24 — implying the stock looks roughly 79.5% overvalued today. We read business quality at 47/100 (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, ICEMAKE generated revenue of ₹6.7B at a net margin of 1.8%. Revenue grew 41.9% year over year. It earns a return on equity of 9.5%. Net debt stands at ₹1.5B. 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
ICEMAKE reported revenue of ₹6.7B in FY2026 versus ₹2.1B in FY2022, a compound +34.2%/yr. Reported net income was ₹122M in FY2026, compounding +13.6%/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 | $963.33 | $315.30 | -67% |
| SIEGY SIEGY | $155.06 | $89.54 | -42% |
| SMAWF SMAWF | $307.12 | $176.28 | -43% |
| SMNS SMNS | C$31.76 | C$23.45 | -26% |
| SIE SIE | €269.80 | €161.17 | -40% |
| Schneider Electric S.E. SBGSF | $326.83 | $147.43 | -55% |
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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.