GRATEXI (GRATEXI) Fair Value & Analysis
IN · Market cap ₹79.2M
Fair value as of: Jul 5, 2026
From 14 valuation models · updated today
Share price +1.5% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹16.47 – ₹26.13 · fair‑value band ₹5.45 – ₹9.08 · the ₹26.10 price screens above the ₹7.26 fair value. As of Jul 5, 2026.
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GRATEXI (GRATEXI) currently trades at ₹26.10, while our model-based Fair Value estimate is ₹7.26 — implying the stock looks roughly 72.2% overvalued today. We read business quality at 69/100 (solid quality). Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
Over the trailing twelve months, GRATEXI generated revenue of ₹42.7M at a net margin of 2.6%. Revenue grew 81.5% year over year. It earns a return on equity of 3.0%. Net debt stands at ₹1.6M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹5.45 (bear case) to ₹9.08 (bull case); at ₹26.10, the current price sits above that range. The share trades about 1% below its 52-week high and 61% 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
GRATEXI reported revenue of ₹42.7M in FY2026 versus ₹21.1M in FY2022, a compound +19.3%/yr. Reported net income was ₹1.1M in FY2026, compounding +2.7%/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.