PWASML (PWASML) Fair Value & Analysis
IN · Market cap ₹230M
Fair value as of: Jul 5, 2026
From 13 valuation models · updated today
Share price −6.7% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹17.94 – ₹31.48 · fair‑value band ₹20.91 – ₹60.70 · the ₹22.40 price screens below the ₹40.81 fair value. As of Jul 5, 2026.
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PWASML (PWASML) currently trades at ₹22.40, while our model-based Fair Value estimate is ₹40.81 — implying the stock looks roughly 82.2% undervalued today. We read business quality at 47/100 (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: medium) — always confirm before acting.
Over the trailing twelve months, PWASML generated revenue of ₹1.1B at a net margin of -0.8%. Revenue grew 99.7% year over year. It earns a return on equity of -1.8%. Net debt stands at ₹398M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹20.91 (bear case) to ₹60.70 (bull case); at ₹22.40, the current price sits within that range. The share trades about 33% below its 52-week high and 25% 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
PWASML reported revenue of ₹1.1B in FY2026 versus ₹978M in FY2022, a compound +2.1%/yr. Reported net income was −₹8.9M 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.