Grande Group (GRAN) Fair Value & Analysis
Financial Services · US · Market cap $39.4M
Fair value as of: Jul 26, 2026
From 12 valuation models · updated 16 days ago
Share price +7.0% over the past month.
A solid business, but screening 89% overvalued on our models.
What matters now
- A high-quality business (quality 70/100), yet the market already pays well above fair value. Quality at a full price, with little margin of safety.
- The price sits above even our optimistic bull case ($0.1900). The favourable scenario is already priced in.
- For a financial, book-value and earnings-based methods matter more than a cash-flow DCF, which fits banks and insurers poorly.
Price vs Fair Value (13 months)
White line = price, green steps = our fair value per fiscal year. As of Jul 26, 2026.
How to read this chart
13‑month range $0.9000 – $6.09 · fair‑value band $0.1100 – $0.1900 · the $1.37 price screens above the $0.1500 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). As of Jul 26, 2026.
Analysis
Grande Group (GRAN) currently trades at $1.37, while our model-based Fair Value estimate is $0.1500, implying the stock looks roughly 89.1% overvalued today. The Quality Score stands at 70/100 (solid quality), in the Financial Services 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: medium).
Over the trailing twelve months, Grande Group generated revenue of $2.9M at a net margin of -9.8%. Revenue declined 83.2% year over year. It earns a return on equity of -5.8%. The balance sheet holds a net cash position of $1.9M. Fundamentals as of Jul 26, 2026
Our scenario range runs from $0.1100 (bear case) to $0.1900 (bull case); at $1.37, the current price sits above that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 80% below its 52-week high and 71% above its 52-week low, currently below its 200-day average. For context, the median of 10 Financial Services peers we cover trades at 11% fair-value upside, at -89%, GRAN screens richer than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 12 models by family
Widest divergence: DCF Models ($0.8400) versus Asset-Based ($0.0700). Highest evidence: Residual Income (76).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 26, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 73 · Market factors (momentum, volatility) 15
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
Grande Group Limited, through its subsidiaries, provides corporate finance advisory services in Hong Kong, the People's Republic of China, and Singapore.
Full company description
Grande Group Limited, through its subsidiaries, provides corporate finance advisory services in Hong Kong, the People's Republic of China, and Singapore. It offers IPO sponsorship, takeovers code, and other regulatory compliance related services; referral, underwriting and placing services; and general advisory, independent financial, and compliance advisory services. The company was formerly known as Hero Intelligence Group Limited and changed its name to Grande Group Limited in May 2024. The company was incorporated in 2020 and is based in Admiralty, Hong Kong. Grande Group Limited operates as a subsidiary of Grande Holding Limited.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2023 – FY2025 · reported fiscal years
Grande Group reported revenue of $4.3M in FY2025 versus $3.9M in FY2023, a compound +5.9%/yr. Reported net income was $1.6M in FY2025, compounding +12.5%/yr from FY2023.
GRAN screens 89% overvalued. Compare with Huatai Securities Co →
Peer Group
Capital Markets · 423 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Capital Markets median · lower = cheaper
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Capital Markets stocks, each showing price versus our Fair Value estimate (as of Jul 26, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Huatai Securities Co HTSC | $0.2700 | $0.0400 | -85% |
| Mirae Asset Securities Co 006800 | 38,750 KRW | 31,645 KRW | -18% |
| Meritz Financial Group 138040 | 117,000 KRW | 87,706 KRW | -25% |
| Korea Investment Holdings 071050 | 239,000 KRW | 318,825 KRW | +33% |
| NH Investment & Securities Co 005940 | 31,000 KRW | 37,133 KRW | +20% |
| Samsung Securities Co 016360 | 107,700 KRW | 126,487 KRW | +17% |
| Motilal Oswal Financial Services Limited MOTILALOFS | ₹967.00 | ₹299.65 | -69% |
| Kiwoom Securities Co 039490 | 322,000 KRW | 358,091 KRW | +11% |
| SSI Securities Corporation SSI | 24,250 VND | 28,021 VND | +16% |
| Bolsas y Mercados Argentinos S.A BYMA | 313.75 ARS | 120.22 ARS | -62% |
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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.
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