COSPOWER (COSPOWER) Fair Value & Analysis
IN · Market cap ₹3.5B
Fair value as of: Jul 5, 2026
From 17 valuation models · updated today
Share price +5.0% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹456.00 – ₹1,997 · fair‑value band ₹896.26 – ₹2,140 · the ₹1,897 price screens above the ₹1,418 fair value. As of Jul 5, 2026.
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COSPOWER (COSPOWER) currently trades at ₹1,897, while our model-based Fair Value estimate is ₹1,418 — implying the stock looks roughly 25.2% overvalued today. We read business quality at 57/100 (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, COSPOWER generated revenue of ₹1.1B at a net margin of 12.2%. Revenue grew 261.4% year over year. It earns a return on equity of 39.8%. Net debt stands at ₹258M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹896.26 (bear case) to ₹2,140 (bull case); at ₹1,897, the current price sits within that range. The share trades about 9% below its 52-week high and 260% 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
COSPOWER reported revenue of ₹1.1B in FY2026 versus ₹121M in FY2022, a compound +72.5%/yr. Reported net income was ₹130M in FY2026, compounding +104.4%/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.