GROWINGTON (GROWINGTON) Fair Value & Analysis
IN · Market cap ₹488M
Fair value as of: Jul 5, 2026
From 15 valuation models · updated today
Price vs Fair Value (12 months)
12‑month range ₹0.6200 – ₹2.02 · fair‑value band ₹0.9200 – ₹1.53 · the ₹0.7600 price screens below the ₹1.22 fair value. As of Jul 5, 2026.
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GROWINGTON (GROWINGTON) currently trades at ₹0.7600, while our model-based Fair Value estimate is ₹1.22 — implying the stock looks roughly 60.5% undervalued today. We read business quality at 31/100 (below-average quality). 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, GROWINGTON generated revenue of ₹1.3B at a net margin of 3.5%. Revenue grew 73.9% year over year. It earns a return on equity of 9.8%. Net debt stands at ₹57.8M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹0.9200 (bear case) to ₹1.53 (bull case); at ₹0.7600, the current price sits below that range. The share trades about 64% below its 52-week high and 29% 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
GROWINGTON reported revenue of ₹1.3B in FY2026 versus ₹12.3M in FY2022, a compound +221.6%/yr. Reported net income was ₹46.2M in FY2026.
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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.