INTLCONV (INTLCONV) Fair Value & Analysis
Industrials · Market cap ₹5.0B
Fair value as of: Jul 3, 2026
From 26 valuation models · updated today
Share price −3.3% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹60.11 – ₹110.73 · fair‑value band ₹70.00 – ₹175.10 · the ₹79.02 price screens below the ₹98.71 fair value. As of Jul 3, 2026.
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INTLCONV (INTLCONV) currently trades at ₹79.02, while our model-based Fair Value estimate is ₹98.71 — implying the stock looks roughly 24.9% undervalued today. We read business quality at 56/100 (solid quality), in the Industrials 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: high) — always confirm before acting.
Over the trailing twelve months, INTLCONV generated revenue of ₹2.1B at a net margin of 32.1%. Revenue grew 77.7% year over year. It earns a return on equity of 17.4%. Net debt stands at ₹537M. 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
INTLCONV reported revenue of ₹2.1B in FY2026 versus ₹2.0B in FY2022, a compound +1.5%/yr. Reported net income was ₹684M in FY2026, compounding +43.4%/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 | $1,035 | $131.95 | -87% |
| 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.