BETXIND (BETXIND) Fair Value & Analysis
IN · Market cap ₹697M
Fair value as of: Jul 5, 2026
From 15 valuation models · updated today
Share price −4.8% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹225.85 – ₹599.95 · fair‑value band ₹457.04 – ₹802.73 · the ₹464.45 price screens below the ₹642.18 fair value. As of Jul 5, 2026.
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BETXIND (BETXIND) currently trades at ₹464.45, while our model-based Fair Value estimate is ₹642.18 — implying the stock looks roughly 38.3% 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, BETXIND generated revenue of ₹1.0B at a net margin of 5.7%. Revenue grew 20.2% year over year. It earns a return on equity of 15.1%. Net debt stands at ₹109M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹457.04 (bear case) to ₹802.73 (bull case); at ₹464.45, the current price sits within that range. The share trades about 28% below its 52-week high and 111% 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
BETXIND reported revenue of ₹1.0B in FY2026 versus ₹574M in FY2022, a compound +15.0%/yr. Reported net income was ₹56.7M in FY2026, compounding +92.9%/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.
Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.