Loading verified market, valuation, and statement data.
2. Company Fundamentals
2.3 Management
| Role |
Metric |
| Consensus Rating |
N/A |
2.4 Return
| Metric |
Value |
| Expected Return (Ann.)* |
-18.40% |
| Risk / Std Dev (Ann.)* |
20.88% |
| 1-Year Price Return* |
-19.59% |
Latest Market Data (as of 2026-08-14, Hong Kong time):
| Metric |
Value |
| Last Price |
HK$2.08 |
| 52-Week Range |
HK$1.99 – HK$2.98 |
| Observation Count |
245 trading days |
The return and risk statistics use daily adjusted closes from the retrieved one-year price series and annualise daily moments using 252 trading days. The last price is the latest regular-market price reported for the stated date. Source: Yahoo Finance market data.
DuPont Model Analysis
The DuPont model decomposes return on equity (ROE) into three operating and capital-structure drivers:
ROE = Net Margin × Asset Turnover × Equity Multiplier
The comparison uses the latest two comparable annual periods available for the issuer, with reported statement amounts shown in HK$. Revenue and net income are income-statement flows; total assets and shareholders’ equity are year-end balance-sheet figures. This is a simplified year-end-balance DuPont comparison rather than an average-balance ROE calculation.
| DuPont component |
Calculation |
FY2025 |
FY2024 |
| Revenue |
Reported revenue |
HK$3.20B |
HK$3.36B |
| Net income |
Reported net income |
HK$427.94M |
HK$548.07M |
| Total assets |
Year-end reported balance |
HK$22.75B |
HK$22.19B |
| Shareholders’ equity |
Year-end reported balance |
HK$13.03B |
HK$12.59B |
| Net margin |
Net income ÷ revenue |
13.39% |
16.31% |
| Asset turnover |
Revenue ÷ total assets |
0.1405x |
0.1514x |
| Equity multiplier |
Total assets ÷ shareholders’ equity |
1.7467x |
1.7624x |
| ROE |
Net margin × asset turnover × equity multiplier |
3.29% |
4.35% |
Source: Yahoo Finance annual statements. Values are based on the two latest comparable annual periods returned by the source; fiscal period labels use the statement period-end year.
2.5 FCFF DCF Valuation
Valuation basis: This research model follows a five-year, unlevered FCFF DCF. It starts from reported annual operating inputs, forecasts revenue and operating cash conversion under an explicit mechanical policy, discounts FCFF at WACC, applies a Gordon-growth terminal value, and bridges enterprise value to an indicative common-equity value per share. It is an analytical estimate rather than a recommendation or personalised target price.
Step 1 — Forecast Operating Profit and NOPAT
| Reported operating input |
Value |
| Revenue |
HK$3.20B |
| Prior annual revenue |
HK$3.36B |
| EBIT |
HK$926.54M |
| Tax rate |
9.17% |
| NOPAT = EBIT × (1 − tax rate) |
HK$841.60M |
| Forecast start-growth basis |
-4.86% |
| Forecast policy |
latest reported annual revenue growth, bounded to -10.00% / 15.00% |
Step 2 — Calculate FCFF
| Current FCFF building block |
Value |
| NOPAT |
HK$841.60M |
| Add: depreciation & amortisation |
HK$203.16M |
| Less: capital expenditure |
-HK$79.42M |
| Less/(add): working-capital cash-flow movement |
HK$134.96M |
| Current unlevered FCFF |
HK$1.10B |
Explicit FCFF forecast
| Forecast year |
Revenue growth |
NOPAT |
D&A |
Capex |
Change in NWC |
FCFF |
Present value |
| 1 |
-4.86% |
HK$800.71M |
HK$193.29M |
-HK$75.56M |
HK$128.41M |
HK$1.05B |
HK$1.02B |
| 2 |
-3.02% |
HK$776.54M |
HK$187.45M |
-HK$101.82M |
HK$124.53M |
HK$986.69M |
HK$907.53M |
| 3 |
-1.18% |
HK$767.38M |
HK$185.24M |
-HK$128.83M |
HK$123.06M |
HK$946.85M |
HK$823.65M |
| 4 |
0.66% |
HK$772.45M |
HK$186.47M |
-HK$158.07M |
HK$123.87M |
HK$924.71M |
HK$760.77M |
| 5 |
2.50% |
HK$791.76M |
HK$191.13M |
-HK$191.13M |
HK$126.97M |
HK$918.73M |
HK$714.86M |
Step 3 — Determine the Discount Rate (WACC)
| WACC input |
Value |
| Risk-free rate |
4.71% |
| Equity risk premium assumption |
5.50% |
| Beta |
0.42 |
| Cost of equity |
7.00% |
| Pre-tax cost of debt |
4.75% |
| WACC |
5.73% |
| WACC validation |
requires assumption review |
Step 4 — Estimate Terminal Value
| Terminal-value input |
Value |
| Perpetuity growth rate |
2.50% |
| Terminal value |
HK$29.12B |
| Implied terminal EV / EBITDA |
27.40x |
| Terminal value as % of enterprise value |
83.91% |
Step 5 — Discount Cash Flows to Enterprise Value
| Enterprise-value component |
Value |
| Present value of explicit FCFF |
HK$4.22B |
| Present value of terminal value |
HK$22.03B |
| Indicated enterprise value |
HK$26.26B |
| Discounting convention |
mid-year for explicit FCFF; terminal value discounted at year-end five |
Step 6 — Convert Enterprise Value to Equity Value
| Equity bridge |
Value |
| Indicated enterprise value |
HK$26.26B |
| Less: gross interest-bearing debt |
HK$2.00B |
| Add: cash and equivalents |
HK$6.56B |
| Add: affiliate investments |
HK$0.00 |
| Less: minority interests |
HK$4.90B |
| Indicated common equity value |
HK$25.92B |
Step 7 — Calculate Indicative Value Per Share
| Per-share output |
Value |
| Shares used |
1,072,770,000.00 |
| Share-count basis |
reported diluted weighted-average shares |
| Current market price |
HK$2.08 |
| DCF indicative value per share |
HK$24.16 |
| Indicative value vs. market price |
1,058.96% |
Model Integrity Checks
| Check |
Result |
| Perpetuity growth is below the risk-free rate |
pass |
| Perpetuity growth is below WACC |
pass |
| WACC is within the configured operating-company range |
review required |
| Terminal-year FCFF is positive |
pass |
| Terminal capex converges to D&A |
pass |
| Terminal-value concentration |
within review band |
| Implied price differs from spot by more than 30% |
review required |
2.6 Investor-Style Research Screen
| Educational screen |
Result |
| Buffett-inspired cash-quality checks |
2/4 evidenced checks |
| Lynch-inspired balance-and-growth checks |
2/4 evidenced checks |
Data lineage: Yahoo Finance public market and reported-statement data; retrieval timestamp: 2026-08-18 16:39:10.292678 UTC; latest reported fiscal period: 2025-12-31 00:00:00. Default assumptions: five-year forecast, mid-year discounting for explicit FCFF, a maximum 2.50% perpetuity-growth rate below both WACC and the risk-free rate, historical operating-ratio persistence, and capex convergence to D&A by year five. No sell-side consensus or management guidance is substituted for reported inputs. This is research and analysis only, not personalized financial advice.
2.7 Quantitative Factor Diagnostics
Model basis: Daily issuer USD excess returns are regressed in-sample using ordinary least squares on matching regional Fama–French factors. FF3 estimates market, size, and value loadings; FF5 adds profitability and investment. Coefficients are descriptive historical exposures, not predictions.
| Estimation input |
Value |
| Regional factor set |
Asia Pacific ex Japan |
| Factor-return currency |
USD |
| Issuer-return basis |
USD adjusted total return |
| Estimation window |
2025-08-20 to 2026-06-30 |
| Aligned daily observations |
210 |
| Minimum observation requirement |
120 |
| Currency conversion for HK listings |
HKD adjusted close divided by daily USD/HKD close before simple daily return calculation |
Fama–French Three-Factor and Five-Factor Results
| Diagnostic |
FF3 |
FF5 |
| Annualised alpha |
-39.94% |
-39.67% |
| Adjusted R² |
0.21 |
0.22 |
| Annualised residual volatility |
18.49% |
18.30% |
| Factor loading (t-statistic) |
FF3 |
FF5 |
| Market excess return (Mkt-RF) |
0.67 (6.38) |
0.72 (6.40) |
| Size (SMB) |
0.42 (2.73) |
0.52 (2.67) |
| Value (HML) |
0.72 (4.94) |
0.58 (3.59) |
| Profitability (RMW) |
NM |
-0.32 (-1.57) |
| Investment (CMA) |
NM |
0.29 (1.25) |
Definitions: Mkt-RF is the market return less the risk-free rate; SMB is small minus big; HML is high minus low book-to-market; RMW is robust minus weak profitability; CMA is conservative minus aggressive investment. Factor returns are sourced from the Kenneth R. French Data Library; issuer adjusted-return history is sourced from Yahoo Finance. For Hong Kong listings, adjusted HKD prices are converted into USD with daily USD/HKD closes before return calculation to match the USD regional factor basis. This is an in-sample historical regression; coefficients and t-statistics do not establish causation or predict future returns. This is research and analysis only, not personalized financial advice.