CORALAB Fair Value & Analysis
IN · Market cap ₹2.2B
Fair value as of: Jul 5, 2026
From 15 valuation models · updated 15 days ago
Share price +18.7% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹362.05 – ₹647.80 · fair‑value band ₹485.86 – ₹815.29 · the ₹605.55 price screens below the ₹650.58 fair value. As of Jul 5, 2026.
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CORALAB (CORALAB) currently trades at ₹605.55, while our model-based Fair Value estimate is ₹650.58, implying the stock looks roughly 7.4% fairly valued today. We read business quality at 54/100 (solid 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, CORALAB generated revenue of ₹859M at a net margin of 19.1%. Revenue declined 5.9% year over year. It earns a return on equity of 8.0%. Net debt stands at ₹29.6M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹485.86 (bear case) to ₹815.29 (bull case); at ₹605.55, the current price sits within that range. The share trades about 8% below its 52-week high and 68% 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
FY2022 – FY2026 · reported fiscal years
CORALAB reported revenue of ₹859M in FY2026 versus ₹732M in FY2022, a compound +4.1%/yr. Reported net income was ₹164M in FY2026, compounding +16.0%/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.
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Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.