GUJCONT (GUJCONT) Fair Value & Analysis
IN · Market cap ₹815M
Fair value as of: Jul 5, 2026
From 17 valuation models · updated today
Share price −13.7% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹143.15 – ₹180.00 · fair‑value band ₹114.46 – ₹313.56 · the ₹144.20 price screens below the ₹190.66 fair value. As of Jul 5, 2026.
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GUJCONT (GUJCONT) currently trades at ₹144.20, while our model-based Fair Value estimate is ₹190.66 — implying the stock looks roughly 32.2% undervalued today. We read business quality at 53/100 (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, GUJCONT generated revenue of ₹1.5B at a net margin of 5.1%. Revenue grew 1.3% year over year. It earns a return on equity of 13.6%. Net debt stands at ₹187M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹114.46 (bear case) to ₹313.56 (bull case); at ₹144.20, the current price sits within that range. The share trades about 20% below its 52-week high and 1% 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
FY2021 – FY2025 · reported fiscal years
GUJCONT reported revenue of ₹1.5B in FY2025 versus ₹852M in FY2021, a compound +15.2%/yr. Reported net income was ₹82.7M in FY2025, compounding +30.4%/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.