PALCO (PALCO) Fair Value & Analysis
IN · Market cap ₹529M
Fair value as of: Jul 5, 2026
From 24 valuation models · updated today
Share price −12.7% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹91.25 – ₹211.50 · fair‑value band ₹239.41 – ₹530.37 · the ₹132.20 price screens below the ₹378.67 fair value. As of Jul 5, 2026.
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PALCO (PALCO) currently trades at ₹132.20, while our model-based Fair Value estimate is ₹378.67 — implying the stock looks roughly 186.4% 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: high) — always confirm before acting.
Over the trailing twelve months, PALCO generated revenue of ₹2.9B at a net margin of 2.2%. Revenue grew 32.2% year over year. It earns a return on equity of 43.1%. Net debt stands at ₹273M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹239.41 (bear case) to ₹530.37 (bull case); at ₹132.20, the current price sits below that range. The share trades about 45% below its 52-week high and 49% above its 52-week low, currently above 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
FY2021 – FY2025 · reported fiscal years
PALCO reported revenue of ₹2.9B in FY2025 versus ₹1.7B in FY2021, a compound +14.0%/yr. Reported net income was ₹63.8M in FY2025, compounding +7.6%/yr from FY2021.
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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.