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1. Industry Fundamentals
1.1 Cyclicality
The company operates in a cyclical industry sensitive to macroeconomic conditions.
Revenue and earnings tend to correlate with broader economic cycles, with periods of expansion driving growth and contractions creating headwinds. Current market capitalisation: 117.87 M.
1.2 Competition
The industry is moderately competitive with established players and meaningful barriers to entry. Beta of N/A suggests moderate market sensitivity. Competitive advantages stem from brand, scale, or regulatory moats.
1.3 Technology
Key technology drivers include digital transformation, operational efficiency, automation. Companies that invest in R&D and adopt new technologies tend to gain market share. The pace of technological change creates both opportunities for innovation and risks of disruption.
2. Company Fundamentals
2.3 Management
| Role | Metric |
|---|
| Consensus Rating | N/A |
2.4 Return
| Metric | Value |
|---|
| Expected Return (Ann.) | 24.74% |
| Risk / Std Dev (Ann.) | 86.64% |
Price Snapshot:
| Metric | Value |
|---|
| Last Price | 0.405 HKD |
| Day Change | -0.010 (-2.50%) |
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$48.25M | HK$55.29M |
| Net income | Reported net income | HK$-533K | HK$-30.77M |
| Total assets | Year-end reported balance | HK$73.72M | HK$68.29M |
| Shareholders’ equity | Year-end reported balance | HK$-345.44M | HK$-360.38M |
| Net margin | Net income ÷ revenue | -1.10% | -55.66% |
| Asset turnover | Revenue ÷ total assets | 0.6545x | 0.8097x |
| Equity multiplier | Total assets ÷ shareholders’ equity | -0.2134x | -0.1895x |
| ROE | Net margin × asset turnover × equity multiplier | 0.15% | 8.54% |
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$48.25M |
| Prior annual revenue | HK$55.29M |
| EBIT | HK$8.24M |
| Tax rate | 25.00% |
| NOPAT = EBIT × (1 − tax rate) | HK$6.18M |
| Forecast start-growth basis | -10.00% |
| Forecast policy | latest reported annual revenue growth, bounded to -10.00% / 15.00% |
Step 2 — Calculate FCFF
| Current FCFF building block | Value |
|---|
| NOPAT | HK$6.18M |
| Add: depreciation & amortisation | HK$1.74M |
| Less: capital expenditure | -HK$10,000.00 |
| Less/(add): working-capital cash-flow movement | -HK$946,000.00 |
| Current unlevered FCFF | HK$6.96M |
Explicit FCFF forecast
| Forecast year | Revenue growth | NOPAT | D&A | Capex | Change in NWC | FCFF | Present value |
|---|
| 1 | -10.00% | HK$5.56M | HK$1.56M | -HK$9,000.00 | -HK$851,400.00 | HK$6.26M | HK$6.11M |
| 2 | -6.88% | HK$5.18M | HK$1.45M | -HK$369,822.66 | -HK$792,866.25 | HK$5.47M | HK$5.08M |
| 3 | -3.75% | HK$4.98M | HK$1.40M | -HK$703,841.66 | -HK$763,133.77 | HK$4.92M | HK$4.34M |
| 4 | -0.63% | HK$4.95M | HK$1.39M | -HK$1.05M | -HK$758,364.18 | HK$4.54M | HK$3.82M |
| 5 | 2.50% | HK$5.08M | HK$1.43M | -HK$1.43M | -HK$777,323.28 | HK$4.30M | HK$3.44M |
Step 3 — Determine the Discount Rate (WACC)
| WACC input | Value |
|---|
| Risk-free rate | 4.71% |
| Equity risk premium assumption | 5.50% |
| Beta | 0.69 |
| Cost of equity | 8.52% |
| Pre-tax cost of debt | 4.00% |
| WACC | 5.09% |
| WACC validation | requires assumption review |
Step 4 — Estimate Terminal Value
| Terminal-value input | Value |
|---|
| Perpetuity growth rate | 2.50% |
| Terminal value | HK$169.86M |
| Implied terminal EV / EBITDA | 20.73x |
| Terminal value as % of enterprise value | 85.33% |
Step 5 — Discount Cash Flows to Enterprise Value
| Enterprise-value component | Value |
|---|
| Present value of explicit FCFF | HK$22.78M |
| Present value of terminal value | HK$132.49M |
| Indicated enterprise value | HK$155.28M |
| 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$155.28M |
| Less: gross interest-bearing debt | HK$234.54M |
| Add: cash and equivalents | HK$7.54M |
| Add: affiliate investments | HK$0.00 |
| Less: minority interests | -HK$15.38M |
| Indicated common equity value | -HK$56.35M |
Step 7 — Calculate Indicative Value Per Share
| Per-share output | Value |
|---|
| Shares used | 104,281,354.00 |
| Share-count basis | reported diluted weighted-average shares |
| Current market price | HK$0.41 |
| DCF indicative value per share | -HK$0.54 |
| Indicative value vs. market price | -231.79% |
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 | 1/4 evidenced checks |
| Lynch-inspired balance-and-growth checks | 1/4 evidenced checks |
Data lineage: Yahoo Finance public market and reported-statement data; retrieval timestamp: 2026-08-18 16:12:25.456382 UTC; latest reported fiscal period: 2025-03-31 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 | 21.74% | 9.69% |
| Adjusted R² | 0.01 | 0.02 |
| Annualised residual volatility | 60.76% | 60.28% |
| Factor loading (t-statistic) | FF3 | FF5 |
|---|
| Market excess return (Mkt-RF) | 0.12 (0.34) | 0.29 (0.79) |
| Size (SMB) | 1.13 (2.23) | 1.72 (2.70) |
| Value (HML) | 0.07 (0.15) | 0.22 (0.40) |
| Profitability (RMW) | NM | 0.93 (1.38) |
| Investment (CMA) | NM | 0.94 (1.23) |
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.