TRANSPEK (TRANSPEK) Fair Value & Analysis
IN · Market cap ₹5.7B
Fair value as of: Jul 6, 2026
From 24 valuation models · updated today
Share price +3.6% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹876.30 – ₹1,672 · fair‑value band ₹985.13 – ₹1,738 · the ₹1,022 price screens below the ₹1,389 fair value. As of Jul 6, 2026.
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TRANSPEK (TRANSPEK) currently trades at ₹1,022, while our model-based Fair Value estimate is ₹1,389 — implying the stock looks roughly 36.0% undervalued 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, TRANSPEK generated revenue of ₹6.2B at a net margin of 7.4%. Revenue declined 14.4% year over year. It earns a return on equity of 6.9%. Net debt stands at ₹361M. Fundamentals as of Jul 6, 2026
Our scenario range runs from ₹985.13 (bear case) to ₹1,738 (bull case); at ₹1,022, the current price sits within that range. The share trades about 40% below its 52-week high and 18% 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 6, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
TRANSPEK reported revenue of ₹6.2B in FY2025 versus ₹6.0B in FY2021, a compound +0.9%/yr. Reported net income was ₹456M in FY2025, compounding −8.6%/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.