BCPL (BCPL) Fair Value & Analysis
Industrials · IN · Market cap ₹1.2B
Fair value as of: Jul 5, 2026
From 15 valuation models · updated today
Share price −6.9% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹55.69 – ₹93.43 · fair‑value band ₹49.13 – ₹101.16 · the ₹72.89 price screens below the ₹76.61 fair value. As of Jul 5, 2026.
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BCPL (BCPL) currently trades at ₹72.89, while our model-based Fair Value estimate is ₹76.61 — implying the stock looks roughly 5.1% undervalued today. We read business quality at 53/100 (solid quality), in the Industrials sector. 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, BCPL generated revenue of ₹2.1B at a net margin of 3.1%. Revenue declined 25.5% year over year. It earns a return on equity of 6.8%. Net debt stands at ₹681M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹49.13 (bear case) to ₹101.16 (bull case); at ₹72.89, the current price sits within that range. The share trades about 21% below its 52-week high and 33% above its 52-week low, currently below its 200-day average. For context, the median of 10 Industrials peers we cover trades at -33% fair-value upside — at 5%, BCPL screens cheaper than that median.
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
BCPL reported revenue of ₹2.1B in FY2025 versus ₹1.1B in FY2021, a compound +18.8%/yr. Reported net income was ₹64.4M in FY2025, compounding −3.4%/yr from FY2021.
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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.