HITKITGLO (HITKITGLO) Fair Value & Analysis
IN · Market cap ₹124M
Fair value as of: Jul 5, 2026
From 14 valuation models · updated today
Share price −22.0% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹0.9500 – ₹6.19 · fair‑value band ₹0.2100 – ₹0.3600 · the ₹2.30 price screens above the ₹0.2800 fair value. As of Jul 5, 2026.
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HITKITGLO (HITKITGLO) currently trades at ₹2.30, while our model-based Fair Value estimate is ₹0.2800 — implying the stock looks roughly 87.8% overvalued today. We read business quality at 41/100 (below-average 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, HITKITGLO generated revenue of ₹10.9M at a net margin of 8.3%. It earns a return on equity of 0.7%. Net debt stands at ₹1.3M. The stock trades on a trailing P/E of 115.0. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹0.2100 (bear case) to ₹0.3600 (bull case); at ₹2.30, the current price sits above that range. The share trades about 63% below its 52-week high and 153% 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
FY2022 – FY2026 · reported fiscal years
HITKITGLO reported revenue of ₹10.3M in FY2026 versus ₹2.9M in FY2022, a compound +37.6%/yr. Reported net income was ₹903K in FY2026.
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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.