GVPTECH (GVPTECH) Fair Value & Analysis
Technology · Market cap ₹1.2B
Fair value as of: Jul 3, 2026
From 3 valuation models · updated today
Share price +10.0% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹5.49 – ₹11.03 · fair‑value band ₹0.7700 – ₹1.90 · the ₹7.15 price screens above the ₹1.38 fair value. As of Jul 3, 2026.
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GVPTECH (GVPTECH) currently trades at ₹7.15, while our model-based Fair Value estimate is ₹1.38 — implying the stock looks roughly 80.7% overvalued today. We read business quality at 41/100 (below-average quality), in the Technology sector. 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: low).
Over the trailing twelve months, GVPTECH generated revenue of ₹105M at a net margin of 4.3%. Revenue declined 79.0% year over year. It earns a return on equity of 0.5%. The balance sheet holds a net cash position of ₹134M. Fundamentals as of Jul 3, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 3, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
GVPTECH reported revenue of ₹64.8M in FY2026 versus ₹15.3M in FY2022, a compound +43.5%/yr. Reported net income was −₹913M in FY2026.
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Similar stocks
6 more Information Technology Services stocks, each showing price versus our Fair Value estimate (as of Jul 3, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| International Business Machines Corporation IBM | $252.22 | $147.06 | -42% |
| Accenture plc ACN | $170.50 | $228.49 | +34% |
| Tata Consultancy Services Limited TCS | ₹2,199 | ₹1,863 | -15% |
| Infosys Limited INFY | ₹1,065 | ₹15.23 | -99% |
| HCL Technologies Limited HCLTECH | ₹1,132 | ₹1,230 | +9% |
| Fiserv, Inc FISV | 930.00 MXN | 1,179 MXN | +27% |
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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.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.