LAHOTIOV (LAHOTIOV) Fair Value & Analysis
IN · Market cap ₹1.3B
Fair value as of: Jul 5, 2026
From 15 valuation models · updated today
Share price +6.1% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹38.07 – ₹65.47 · fair‑value band ₹52.24 – ₹74.64 · the ₹44.00 price screens below the ₹59.09 fair value. As of Jul 5, 2026.
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LAHOTIOV (LAHOTIOV) currently trades at ₹44.00, while our model-based Fair Value estimate is ₹59.09 — implying the stock looks roughly 34.3% undervalued today. We read business quality at 48/100 (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, LAHOTIOV generated revenue of ₹3.8B at a net margin of 3.8%. Revenue declined 28.5% year over year. It earns a return on equity of 6.9%. Net debt stands at ₹155M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹52.24 (bear case) to ₹74.64 (bull case); at ₹44.00, the current price sits below that range. The share trades about 35% below its 52-week high and 24% above its 52-week low, currently below 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
LAHOTIOV reported revenue of ₹3.7B in FY2026 versus ₹8.7B in FY2022, a compound −19.5%/yr. Reported net income was ₹144M in FY2026, compounding −11.8%/yr from FY2022.
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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.