WAKEFIT (WAKEFIT) Fair Value & Analysis
IN · Market cap ₹41.7B
Fair value as of: Jul 6, 2026
From 24 valuation models · updated today
Share price +6.8% over the past month.
Price vs Fair Value (7 months)
7‑month range ₹113.30 – ₹216.00 · fair‑value band ₹72.80 – ₹121.33 · the ₹123.80 price screens above the ₹97.06 fair value. As of Jul 6, 2026.
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WAKEFIT (WAKEFIT) currently trades at ₹123.80, while our model-based Fair Value estimate is ₹97.06 — implying the stock looks roughly 21.6% overvalued today. We read business quality at 47/100 (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: high).
Over the trailing twelve months, WAKEFIT generated revenue of ₹14.9B at a net margin of 12.7%. Revenue grew 13.5% year over year. It earns a return on equity of 22.9%. Net debt stands at ₹37.4M. Fundamentals as of Jul 6, 2026
Our scenario range runs from ₹72.80 (bear case) to ₹121.33 (bull case); at ₹123.80, the current price sits above that range. The share trades about 45% below its 52-week high and 11% 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 6, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2023 – FY2026 · reported fiscal years
WAKEFIT reported revenue of ₹14.9B in FY2026 versus ₹8.0B in FY2023, a compound +23.2%/yr. Reported net income was ₹1.9B 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.