SWANCORP (SWANCORP) Fair Value & Analysis
Industrials · IN · Market cap ₹97.4B
Fair value as of: Jul 6, 2026
From 12 valuation models · updated today
Share price −4.4% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹300.00 – ₹521.64 · fair‑value band ₹111.50 – ₹185.84 · the ₹310.85 price screens above the ₹148.67 fair value. As of Jul 6, 2026.
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SWANCORP (SWANCORP) currently trades at ₹310.85, while our model-based Fair Value estimate is ₹148.67 — implying the stock looks roughly 52.2% overvalued today. We read business quality at 32/100 (below-average quality), in the Industrials sector. 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, SWANCORP generated revenue of ₹43.7B at a net margin of 6.3%. Revenue grew 1.6% year over year. It earns a return on equity of 3.0%. Net debt stands at ₹14.4B. Fundamentals as of Jul 6, 2026
Our scenario range runs from ₹111.50 (bear case) to ₹185.84 (bull case); at ₹310.85, the current price sits above that range. The share trades about 41% below its 52-week high and 5% above its 52-week low, currently below its 200-day average. For context, the median of 10 Industrials peers we cover trades at -23% fair-value upside — at -52%, SWANCORP screens richer than that median.
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
SWANCORP reported revenue of ₹43.7B in FY2026 versus ₹14.0B in FY2023, a compound +46.0%/yr. Reported net income was ₹2.7B in FY2026.
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Frequently asked questions
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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.