Hang Feng Technology Innovation Co (FOFO) Fair Value & Analysis
Industrials · US · Market cap $19.2M
Hang Feng Technology Innovation Co
FOFO · US
Fair value as of: Aug 17, 2026
From 1 valuation models · updated yesterday
Share price +0.7% over the past month.
Below-average quality, and screening another 69% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case ($1.03). The favourable scenario is already priced in.
- Weak quality (33/100) and above fair value at the same time, the margin of safety is missing on both counts.
- The large gap to fair value rests on thin data (low evidence): fewer applicable models and a shorter history. Read it with extra caution.
- A fairly wide model range ($0.5440 to $1.03) leaves room in how you read the outcome.
Price vs Fair Value (11 months)
White line = price, green steps = our fair value per fiscal year. As of Aug 17, 2026.
How to read this chart
11‑month range $1.82 – $45.00 · fair‑value band $0.5440 – $1.03 · the $2.70 price screens above the $0.8245 fair value. As of Aug 17, 2026.
Analysis
Hang Feng Technology Innovation Co (FOFO) currently trades at $2.70, while our model-based Fair Value estimate is $0.8245, implying the stock looks roughly 69.5% overvalued today. The Quality Score stands at 33/100 (below-average quality), in the Industrials 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).
Trailing-twelve-month revenue stands at $2.3M. Revenue declined 44.1% year over year. Fundamentals as of Aug 17, 2026
Our scenario range runs from $0.5440 (bear case) to $1.03 (bull case); at $2.70, 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. For context, the median of 10 Industrials peers we cover trades at -16% fair-value upside, at -69%, FOFO 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 1 models by family
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Key figures & financial health
Figures from reported company fundamentals · as of Aug 17, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 36 · 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
Hang Feng Technology Innovation Co., Ltd. provides corporate management consulting and asset management services in Hong Kong. The company offers capital market consulting; regulatory and compliance consulting; and strategic insights and actionable recommendations to drive business growth.
Full company description
Hang Feng Technology Innovation Co., Ltd. provides corporate management consulting and asset management services in Hong Kong. The company offers capital market consulting; regulatory and compliance consulting; and strategic insights and actionable recommendations to drive business growth. It also provides performance management reports; advice on key performance indicators and how to measure and optimize performance effectively; assistance in mitigating compliance risk and adopting best practices for corporate governance; and maintenance of statutory records to uphold proper corporate governance. In addition, the company offers fund subscription, fund management, and financial advisory services. It serves listed companies and professional investors. The company was founded in 2023 and is headquartered in Hong Kong, Hong Kong. Hang Feng Technology Innovation Co., Ltd. operates as a subsidiary of Hang Feng International Holdings Co., Limited.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2023 – FY2025 · reported fiscal years
Hang Feng Technology Innovation Co reported revenue of $2.3M in FY2025 versus $120K in FY2023, a compound +341.3%/yr. Reported net income was −$9.6M in FY2025.
FOFO screens 69% overvalued. Compare with Verisk Analytics, Inc →
Peer Group
Consulting Services · 86 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 Consulting Services 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 Consulting Services stocks, each showing price versus our Fair Value estimate (as of Aug 17, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Verisk Analytics, Inc VRSK | $180.97 | $145.58 | -20% |
| SGS SA SGSN | CHF 94.20 | CHF 68.96 | -27% |
| Equifax Inc EFX | $180.46 | $100.04 | -45% |
| Bureau Veritas SA BVI | €27.74 | €27.81 | +0% |
| ALS Limited ALQ | A$23.42 | A$11.02 | -53% |
| Booz Allen Hamilton Holding BAH | $78.40 | $146.45 | +87% |
| DKSH Holding DKSH | CHF 68.40 | CHF 64.81 | -5% |
| FTI Consulting, Inc FCN | $152.68 | $168.44 | +10% |
| Centre Testing International Group 300012 | ¥14.10 | ¥11.90 | -16% |
| GRG Metrology & Test Group 002967 | ¥17.66 | ¥11.69 | -34% |
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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.
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