KAYPOWR (KAYPOWR) Fair Value & Analysis
IN · Market cap ₹315M
Fair value as of: Jul 5, 2026
From 12 valuation models · updated today
Share price −11.5% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹7.77 – ₹16.12 · fair‑value band ₹3.69 – ₹6.14 · the ₹9.01 price screens above the ₹4.91 fair value. As of Jul 5, 2026.
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KAYPOWR (KAYPOWR) currently trades at ₹9.01, while our model-based Fair Value estimate is ₹4.91 — implying the stock looks roughly 45.5% overvalued today. We read business quality at 23/100 (below-average 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: medium).
Over the trailing twelve months, KAYPOWR generated revenue of ₹244M at a net margin of 4.1%. Revenue declined 59.8% year over year. It earns a return on equity of 1.6%. Net debt stands at ₹5.8M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹3.69 (bear case) to ₹6.14 (bull case); at ₹9.01, the current price sits above that range. The share trades about 47% below its 52-week high and 18% 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
KAYPOWR reported revenue of ₹244M in FY2026 versus ₹344M in FY2022, a compound −8.3%/yr. Reported net income was ₹10.1M in FY2026, compounding +82.3%/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.