NIDHGRN (NIDHGRN) Fair Value & Analysis
IN · Market cap ₹3.0B
Fair value as of: Jul 5, 2026
From 23 valuation models · updated today
Share price −4.1% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹172.00 – ₹466.35 · fair‑value band ₹142.17 – ₹278.98 · the ₹370.00 price screens above the ₹202.90 fair value. As of Jul 5, 2026.
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NIDHGRN (NIDHGRN) currently trades at ₹370.00, while our model-based Fair Value estimate is ₹202.90 — implying the stock looks roughly 45.2% overvalued today. We read business quality at 64/100 (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, NIDHGRN generated revenue of ₹655M at a net margin of 11.7%. Revenue grew 64.6% year over year. It earns a return on equity of 41.0%. Net debt stands at ₹4.2M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹142.17 (bear case) to ₹278.98 (bull case); at ₹370.00, the current price sits above that range. The share trades about 23% below its 52-week high and 117% above its 52-week low, currently above 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
NIDHGRN reported revenue of ₹652M in FY2026 versus ₹158M in FY2022, a compound +42.5%/yr. Reported net income was ₹76.8M in FY2026, compounding +124.1%/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.