Loading verified market, valuation, and statement data.
2. Company Fundamentals
2.1 Competitiveness
| Metric |
Value |
| Operating Margins |
7.09% |
| Profit Margins |
9.81% |
| Return on Equity |
71.49% |
| Return on Assets |
5.83% |
| Free Float |
0.11B |
| Dividend Yield |
0.67% |
| Short Int % Utilisation |
8.36% |
2.2 Growth
| Metric |
Value |
| Revenue Growth |
14.7% |
| Free Cash Flow |
3.48B |
| EBITDA |
10.19 (Ratio) |
| Enterprise Value |
26.45B |
| EV/Revenue |
1.74 |
| EV/EBITDA |
10.19 |
Revenue growth of 14.7% indicates steady, moderate expansion.
2.3 Management
| Role |
Metric |
| Consensus Rating |
N/A |
2.4 Return
| Metric |
Value |
| Expected Return (Ann.)* |
82.49% |
| Risk / Std Dev (Ann.)* |
48.78% |
| 1-Year Price Return* |
61.64% |
Latest Market Data (as of 2026-08-14, US Eastern time):
| Metric |
Value |
| Last Price |
$332.69 |
| 52-Week Range |
$185.34 – $333.24 |
| Observation Count |
251 trading days |
The return and risk statistics use daily adjusted closes from the retrieved one-year series and annualise daily moments using 252 trading days. The last price is the latest regular-market price reported for the stated date. Source: Yahoo Finance market data.
DuPont Model Analysis
The DuPont model decomposes return on equity (ROE) into three operating and capital-structure drivers:
ROE = Net Margin × Asset Turnover × Equity Multiplier
The comparison uses the latest two comparable annual periods available for the issuer, with reported statement amounts shown in US$. 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 |
$14.73B |
$13.69B |
| Net income |
Reported net income |
$1.29B |
$1.23B |
| Total assets |
Year-end reported balance |
$24.45B |
$22.39B |
| Shareholders’ equity |
Year-end reported balance |
$1.28B |
$1.56B |
| Net margin |
Net income ÷ revenue |
8.78% |
9.01% |
| Asset turnover |
Revenue ÷ total assets |
0.6025x |
0.6115x |
| Equity multiplier |
Total assets ÷ shareholders’ equity |
19.0436x |
14.3789x |
| ROE |
Net margin × asset turnover × equity multiplier |
100.78% |
79.25% |
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 |
$14.73B |
| Prior annual revenue |
$13.69B |
| EBIT |
$1.89B |
| Tax rate |
18.20% |
| NOPAT = EBIT × (1 − tax rate) |
$1.55B |
| Forecast start-growth basis |
7.61% |
| Forecast policy |
latest reported annual revenue growth, bounded to -10.00% / 15.00% |
Step 2 — Calculate FCFF
| Current FCFF building block |
Value |
| NOPAT |
$1.55B |
| Add: depreciation & amortisation |
$887.00M |
| Less: capital expenditure |
-$770.00M |
| Less/(add): working-capital cash-flow movement |
$1.17B |
| Current unlevered FCFF |
$2.84B |
Explicit FCFF forecast
| Forecast year |
Revenue growth |
NOPAT |
D&A |
Capex |
Change in NWC |
FCFF |
Present value |
| 1 |
7.61% |
$1.66B |
$954.51M |
-$828.60M |
$1.26B |
$3.05B |
$2.90B |
| 2 |
6.33% |
$1.77B |
$1.01B |
-$914.55M |
$1.34B |
$3.21B |
$2.77B |
| 3 |
5.06% |
$1.86B |
$1.07B |
-$995.95M |
$1.41B |
$3.34B |
$2.60B |
| 4 |
3.78% |
$1.93B |
$1.11B |
-$1.07B |
$1.46B |
$3.43B |
$2.42B |
| 5 |
2.50% |
$1.98B |
$1.13B |
-$1.13B |
$1.50B |
$3.48B |
$2.22B |
Step 3 — Determine the Discount Rate (WACC)
| WACC input |
Value |
| Risk-free rate |
4.71% |
| Equity risk premium assumption |
5.50% |
| Beta |
1.25 |
| Cost of equity |
11.56% |
| Pre-tax cost of debt |
4.62% |
| WACC |
10.46% |
| WACC validation |
within standard range |
Step 4 — Estimate Terminal Value
| Terminal-value input |
Value |
| Perpetuity growth rate |
2.50% |
| Terminal value |
$44.75B |
| Implied terminal EV / EBITDA |
12.60x |
| Terminal value as % of enterprise value |
67.81% |
Step 5 — Discount Cash Flows to Enterprise Value
| Enterprise-value component |
Value |
| Present value of explicit FCFF |
$12.92B |
| Present value of terminal value |
$27.20B |
| Indicated enterprise value |
$40.12B |
| 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 |
$40.12B |
| Less: gross interest-bearing debt |
$6.42B |
| Add: cash and equivalents |
$5.73B |
| Add: affiliate investments |
$0.00 |
| Less: minority interests |
$1.26B |
| Indicated common equity value |
$38.17B |
Step 7 — Calculate Indicative Value Per Share
| Per-share output |
Value |
| Shares used |
131,943,000.00 |
| Share-count basis |
reported diluted weighted-average shares |
| Current market price |
$324.73 |
| DCF indicative value per share |
$289.32 |
| Indicative value vs. market price |
-10.90% |
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 |
pass |
| 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% |
within review band |
2.6 Investor-Style Research Screen
| Educational screen |
Result |
| Buffett-inspired cash-quality checks |
4/4 evidenced checks |
| Lynch-inspired balance-and-growth checks |
4/4 evidenced checks |
Data lineage: Yahoo Finance public market and reported-statement data; retrieval timestamp: 2026-08-18 17:32:54.759838 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 |
US |
| Factor-return currency |
USD |
| Issuer-return basis |
USD adjusted total return |
| Estimation window |
2025-08-19 to 2026-06-30 |
| Aligned daily observations |
217 |
| Minimum observation requirement |
120 |
| Currency conversion for HK listings |
not required |
Fama–French Three-Factor and Five-Factor Results
| Diagnostic |
FF3 |
FF5 |
| Annualised alpha |
13.46% |
37.05% |
| Adjusted R² |
0.10 |
0.12 |
| Annualised residual volatility |
47.12% |
46.38% |
| Factor loading (t-statistic) |
FF3 |
FF5 |
| Market excess return (Mkt-RF) |
1.09 (3.92) |
1.48 (4.70) |
| Size (SMB) |
0.53 (1.43) |
0.65 (1.64) |
| Value (HML) |
-0.01 (-0.03) |
-0.28 (-0.71) |
| Profitability (RMW) |
NM |
0.81 (2.42) |
| Investment (CMA) |
NM |
0.24 (0.41) |
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.