NGIND (NGIND) Fair Value & Analysis
IN · Market cap ₹400M
Fair value as of: Jul 5, 2026
From 24 valuation models · updated today
Share price +4.6% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹112.85 – ₹156.43 · fair‑value band ₹54.91 – ₹77.69 · the ₹119.50 price screens above the ₹77.69 fair value. As of Jul 5, 2026.
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NGIND (NGIND) currently trades at ₹119.50, while our model-based Fair Value estimate is ₹77.69 — implying the stock looks roughly 35.0% overvalued today. We read business quality at 53/100 (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, NGIND generated revenue of ₹164M at a net margin of 10.6%. Revenue declined 2.4% year over year. It earns a return on equity of 4.8%. Net debt stands at ₹2.4M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹54.91 (bear case) to ₹77.69 (bull case); at ₹119.50, the current price sits above that range. The share trades about 28% below its 52-week high and 8% 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
NGIND reported revenue of ₹164M in FY2026 versus ₹184M in FY2022, a compound −2.9%/yr. Reported net income was ₹17.3M in FY2026, compounding −9.7%/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.