HEADSUP (HEADSUP) Fair Value & Analysis
Consumer Cyclical · Market cap ₹155M
Fair value as of: Jul 3, 2026
From 1 valuation models · updated today
Share price −2.0% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹6.05 – ₹11.72 · fair‑value band ₹1.99 – ₹3.77 · the ₹6.98 price screens above the ₹3.02 fair value. As of Jul 3, 2026.
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HEADSUP (HEADSUP) currently trades at ₹6.98, while our model-based Fair Value estimate is ₹3.02 — implying the stock looks roughly 56.7% overvalued today. We read business quality at 33/100 (below-average quality), in the Consumer Cyclical 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, HEADSUP generated revenue of ₹173M at a net margin of -0.2%. Revenue grew 119.8% year over year. It earns a return on equity of -0.2%. The balance sheet holds a net cash position of ₹10.3M. 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
HEADSUP reported revenue of ₹173M in FY2026 versus ₹9.7M in FY2022, a compound +105.2%/yr. Reported net income was −₹326K in FY2026.
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Similar stocks
6 more Apparel Retail stocks, each showing price versus our Fair Value estimate (as of Jul 3, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Industria de Diseño Textil, S.A IDEXY | $16.18 | $9.14 | -44% |
| The TJX Companies, Inc TJX | C$29.33 | C$12.50 | -57% |
| Fast Retailing Co FRCOY | $50.95 | $19.25 | -62% |
| 6288 6288 | HK$40.98 | HK$15.00 | -63% |
| Ross Stores, Inc ROST | $236.97 | $118.41 | -50% |
| NEXT plc NXGPF | $190.69 | $207.74 | +9% |
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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.