WWALUM (WWALUM) Fair Value & Analysis
IN · Market cap ₹59.7M
Fair value as of: Jul 6, 2026
From 14 valuation models · updated today
Share price −14.5% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹14.89 – ₹26.01 · fair‑value band ₹5.39 – ₹8.90 · the ₹18.17 price screens above the ₹7.14 fair value. As of Jul 6, 2026.
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WWALUM (WWALUM) currently trades at ₹18.17, while our model-based Fair Value estimate is ₹7.14 — implying the stock looks roughly 60.7% 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: medium).
Over the trailing twelve months, WWALUM generated revenue of ₹788M at a net margin of 0.2%. Revenue grew 53.4% year over year. It earns a return on equity of 2.1%. The stock trades on a trailing P/E of 46.6. Fundamentals as of Jul 6, 2026
Our scenario range runs from ₹5.39 (bear case) to ₹8.90 (bull case); at ₹18.17, the current price sits above that range. The share trades about 31% below its 52-week high and 22% 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
FY2022 – FY2026 · reported fiscal years
WWALUM reported revenue of ₹788M in FY2026 versus ₹26.0M in FY2022, a compound +134.6%/yr. Reported net income was ₹1.3M in FY2026, compounding +74.4%/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.