Morgan Group (MGHL) Fair Value & Analysis
Financial Services · US · Market cap $1.3M
Fair value as of: Jul 27, 2026
From 6 valuation models · updated 14 days ago
A solid business, screening 47% undervalued on our models.
What matters now
- The price is below even our cautious bear case ($2.43). The market is more pessimistic than our downside scenario.
- Solid quality (65/100) at a price below fair value, the discount is the argument here, not the business quality.
- 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 (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 27, 2026.
How to read this chart
60‑month range $0.1000 – $8.00 · fair‑value band $2.43 – $4.04 · the $2.20 price screens below the $3.23 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Jul 27, 2026.
Analysis
Morgan Group (MGHL) currently trades at $2.20, while our model-based Fair Value estimate is $3.23, implying the stock looks roughly 46.8% undervalued today. The Quality Score stands at 65/100 (solid quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high), always confirm before acting.
Over the trailing twelve months, Morgan Group generated revenue of $2.2M at a net margin of 12.9%. Revenue grew 16.8% year over year. It earns a return on equity of 24.1%. The balance sheet holds a net cash position of $1.5M. Fundamentals as of Jul 27, 2026
Our scenario range runs from $2.43 (bear case) to $4.04 (bull case); at $2.20, the current price sits below 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 15% below its 52-week high and 82% above its 52-week low, currently above its 200-day average. For context, the median of 10 Financial Services peers we cover trades at 11% fair-value upside, at 47%, MGHL screens cheaper 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 6 models by family
Widest divergence: DCF Models ($5.10) versus Asset-Based ($1.55). Highest evidence: P/E Multiple (63).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 27, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 62 · Market factors (momentum, volatility) 64
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
Morgan Group Holding Co., through its subsidiary G.research, LLC, provides institutional research and securities brokerage services in the United States. The company also provides syndicated underwriting services. It serves institutional clients and mutual funds, asset managers, private wealth management clients, and retail customers.
Full company description
Morgan Group Holding Co., through its subsidiary G.research, LLC, provides institutional research and securities brokerage services in the United States. The company also provides syndicated underwriting services. It serves institutional clients and mutual funds, asset managers, private wealth management clients, and retail customers. Morgan Group Holding Co. is based in Rye, New York.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
Morgan Group reported revenue of $2.3M in FY2024 versus $4.4M in FY2020, a compound −15.1%/yr. Reported net income was $147K in FY2024.
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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
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
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 27, 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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