INANISEC (INANISEC) Fair Value & Analysis
IN · Market cap ₹94.0M
Fair value as of: Jul 5, 2026
From 16 valuation models · updated today
Share price −6.2% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹19.78 – ₹31.13 · fair‑value band ₹2.12 – ₹3.53 · the ₹20.63 price screens above the ₹2.83 fair value. As of Jul 5, 2026.
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INANISEC (INANISEC) currently trades at ₹20.63, while our model-based Fair Value estimate is ₹2.83 — implying the stock looks roughly 86.3% overvalued today. We read business quality at 55/100 (solid quality). 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, INANISEC generated revenue of ₹16.3M at a net margin of 4.6%. Revenue grew 242.7% year over year. It earns a return on equity of 0.4%. The stock trades on a trailing P/E of 121.4. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹2.12 (bear case) to ₹3.53 (bull case); at ₹20.63, the current price sits above that range. The share trades about 39% below its 52-week high and 12% above its 52-week low, currently below its 200-day average.
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 5, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
INANISEC reported revenue of ₹10.8M in FY2026 versus ₹19.9M in FY2022, a compound −14.1%/yr. Reported net income was ₹758K in FY2026, compounding −33.9%/yr from FY2022.
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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.
Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.