CRAVATEX (CRAVATEX) Fair Value & Analysis
IN · Market cap ₹1.0B
Fair value as of: Jul 5, 2026
From 17 valuation models · updated today
Share price +12.9% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹305.20 – ₹515.80 · fair‑value band ₹335.34 – ₹518.35 · the ₹396.95 price screens below the ₹398.73 fair value. As of Jul 5, 2026.
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CRAVATEX (CRAVATEX) currently trades at ₹396.95, while our model-based Fair Value estimate is ₹398.73 — implying the stock looks roughly 0.4% undervalued today. We read business quality at 60/100 (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, CRAVATEX generated revenue of ₹1.6B at a net margin of 4.1%. Revenue declined 32.6% year over year. It earns a return on equity of 6.0%. Net debt stands at ₹1.3B. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹335.34 (bear case) to ₹518.35 (bull case); at ₹396.95, the current price sits within that range. The share trades about 27% below its 52-week high and 32% 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
CRAVATEX reported revenue of ₹1.5B in FY2025 versus ₹5.9B in FY2021, a compound −29.0%/yr. Reported net income was ₹68.0M in FY2025.
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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.