Zhongguancun Science Tech Leasing C (1601) Fair Value & Analysis
Financial Services · HK · Market cap HK$1.3B
Fair value as of: Aug 13, 2026
From 12 valuation models · updated 3 days ago
Share price +4.7% over the past month.
Below-average quality, screening 69% undervalued on our models.
What matters now
- The large discount to fair value meets weak quality (40/100). That raises the risk this is a value trap rather than a bargain.
- The price is below even our cautious bear case (HK$1.22). The market is more pessimistic than our downside scenario.
- 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 Aug 13, 2026.
How to read this chart
60‑month range HK$0.4169 – HK$0.9800 · fair‑value band HK$1.22 – HK$2.03 · the HK$0.7750 price screens below the HK$1.31 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Aug 13, 2026.
Analysis
Zhongguancun Science Tech Leasing C (1601) currently trades at HK$0.7750, while our model-based Fair Value estimate is HK$1.31, implying the stock looks roughly 68.9% undervalued today. The Quality Score stands at 40/100 (below-average 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, Zhongguancun Science Tech Leasing C generated revenue of HK$561M at a net margin of 49.5%. Revenue grew 6.9% year over year. It earns a return on equity of 9.3%. Net debt stands at HK$7.6B. Fundamentals as of Aug 13, 2026
Our scenario range runs from HK$1.22 (bear case) to HK$2.03 (bull case); at HK$0.7750, 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 22% below its 52-week high and 2% above its 52-week low, currently below its 200-day average. For context, the median of 10 Financial Services peers we cover trades at -45% fair-value upside, at 69%, 1601 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 12 models by family
Widest divergence: Earnings-Based (HK$3.07) versus Growth DCF (HK$0.4000). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 13, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 40 · Market factors (momentum, volatility) 42
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
Zhongguancun Science-Tech Leasing Co., Ltd. provides finance leasing services to science and technology innovation enterprises in the People's Republic of China.
Full company description
Zhongguancun Science-Tech Leasing Co., Ltd. provides finance leasing services to science and technology innovation enterprises in the People's Republic of China. The company offers leasing-based equity investment financial services; integration of industry and finance solution; sales, service, and intellectual property leasing; and technology small and micro-business leasing. Zhongguancun Science-Tech Leasing Co., Ltd. was founded in 2012 and is headquartered in Beijing, China.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Zhongguancun Science Tech Leasing C reported revenue of HK$835M in FY2025 versus HK$657M in FY2021, a compound +6.2%/yr. Reported net income was HK$265M in FY2025, compounding +7.8%/yr from FY2021.
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Peer Group
Credit Services · 333 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 Credit Services 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 Credit Services stocks, each showing price versus our Fair Value estimate (as of Aug 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Visa Inc V | $359.42 | $198.27 | -45% |
| Mastercard Incorporated MA | $561.44 | $221.87 | -60% |
| Bajaj Finance Limited BAJFINANCE | ₹1,094 | ₹397.61 | -64% |
| Shriram Finance Limited SHRIRAMFIN | ₹1,117 | ₹553.83 | -50% |
| Cholamandalam Investment and Finance Company CHOLAFIN | ₹1,918 | ₹796.52 | -58% |
| Tata Capital Limited TATACAP | ₹367.05 | ₹149.40 | -59% |
| Power Finance Corporation PFC | ₹376.50 | ₹615.85 | +64% |
| Muthoot Finance Limited MUTHOOTFIN | ₹2,876 | ₹3,429 | +19% |
| Indian Railway Finance Corporation IRFC | ₹88.35 | ₹69.72 | -21% |
| REC Limited RECLTD | ₹346.00 | ₹692.00 | +100% |
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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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