INTENTECH (INTENTECH) Fair Value & Analysis
Technology · Market cap ₹2.4B
Fair value as of: Jul 3, 2026
From 15 valuation models · updated today
Share price +5.5% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹70.12 – ₹141.08 · fair‑value band ₹55.43 – ₹76.98 · the ₹100.70 price screens above the ₹66.21 fair value. As of Jul 3, 2026.
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INTENTECH (INTENTECH) currently trades at ₹100.70, while our model-based Fair Value estimate is ₹66.21 — implying the stock looks roughly 34.3% overvalued today. We read business quality at 51/100 (solid quality), in the Technology 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, INTENTECH generated revenue of ₹1.3B at a net margin of -12.5%. Revenue declined 20.4% year over year. It earns a return on equity of -11.8%. The balance sheet holds a net cash position of ₹539M. 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
INTENTECH reported revenue of ₹1.3B in FY2026 versus ₹830M in FY2022, a compound +10.9%/yr. Reported net income was −₹157M in FY2026.
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6 more Software - Infrastructure stocks, each showing price versus our Fair Value estimate (as of Jul 3, 2026).
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| Microsoft Corporation MSF | €347.50 | €211.04 | -39% |
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| Oracle Corporation ORCL | $201.26 | $43.29 | -78% |
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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.