Loading verified market, valuation, and statement data.
2. Company Fundamentals
2.1 Competitiveness
| Metric |
Value |
| Operating Margins |
41.4% |
| Profit Margins |
24.6% |
| Return on Equity |
32.12% |
| Return on Assets |
6.19% |
| Free Float |
0.06B |
| Short Int % Utilisation |
4.87% |
2.2 Growth
| Metric |
Value |
| Revenue Growth |
25.4% |
| Free Cash Flow |
2.1B |
| EBITDA |
12.19 (Ratio) |
| Enterprise Value |
31.09B |
| EV/Revenue |
6.5 |
| EV/EBITDA |
12.19 |
Revenue growth of 25.4% places the company in a high-growth category.
2.3 Management
| Role |
Metric |
| Consensus Rating |
N/A |
2.4 Return
| Metric |
Value |
| Expected Return (Ann.)* |
41.12% |
| Risk / Std Dev (Ann.)* |
37.40% |
| 1-Year Price Return* |
31.46% |
Latest Market Data (as of 2026-08-14, US Eastern time):
| Metric |
Value |
| Last Price |
$417.60 |
| 52-Week Range |
$252.84 – $425.95 |
| Observation Count |
251 trading days |
The return and risk statistics use daily adjusted closes from the retrieved one-year series and annualise daily moments using 252 trading days. The last price is the latest regular-market price reported for the stated date. Source: Yahoo Finance market data.
DuPont Model Analysis
The DuPont model decomposes return on equity (ROE) into three operating and capital-structure drivers:
ROE = Net Margin × Asset Turnover × Equity Multiplier
The comparison uses the latest two comparable annual periods available for the issuer, with reported statement amounts shown in US$. 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 |
$4.53B |
$3.97B |
| Net income |
Reported net income |
$1.07B |
$1.00B |
| Total assets |
Year-end reported balance |
$26.41B |
$17.96B |
| Shareholders’ equity |
Year-end reported balance |
$3.88B |
$3.12B |
| Net margin |
Net income ÷ revenue |
23.62% |
25.25% |
| Asset turnover |
Revenue ÷ total assets |
0.1715x |
0.2213x |
| Equity multiplier |
Total assets ÷ shareholders’ equity |
6.7994x |
5.7511x |
| ROE |
Net margin × asset turnover × equity multiplier |
27.55% |
32.15% |
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 |
$4.53B |
| Prior annual revenue |
$3.97B |
| EBIT |
$1.95B |
| Tax rate |
30.50% |
| NOPAT = EBIT × (1 − tax rate) |
$1.35B |
| Forecast start-growth basis |
13.93% |
| Forecast policy |
latest reported annual revenue growth, bounded to -10.00% / 15.00% |
Step 2 — Calculate FCFF
| Current FCFF building block |
Value |
| NOPAT |
$1.35B |
| Add: depreciation & amortisation |
$393.30M |
| Less: capital expenditure |
-$200.76M |
| Less/(add): working-capital cash-flow movement |
-$162.42M |
| Current unlevered FCFF |
$1.38B |
Explicit FCFF forecast
| Forecast year |
Revenue growth |
NOPAT |
D&A |
Capex |
Change in NWC |
FCFF |
Present value |
| 1 |
13.93% |
$1.54B |
$448.11M |
-$228.73M |
-$185.05M |
$1.57B |
$1.52B |
| 2 |
11.08% |
$1.71B |
$497.73M |
-$314.98M |
-$205.55M |
$1.69B |
$1.51B |
| 3 |
8.22% |
$1.85B |
$538.63M |
-$406.79M |
-$222.44M |
$1.76B |
$1.46B |
| 4 |
5.36% |
$1.95B |
$567.50M |
-$498.04M |
-$234.36M |
$1.79B |
$1.37B |
| 5 |
2.50% |
$2.00B |
$581.68M |
-$581.68M |
-$240.22M |
$1.76B |
$1.26B |
Step 3 — Determine the Discount Rate (WACC)
| WACC input |
Value |
| Risk-free rate |
4.71% |
| Equity risk premium assumption |
5.50% |
| Beta |
0.87 |
| Cost of equity |
9.49% |
| Pre-tax cost of debt |
4.49% |
| WACC |
7.76% |
| WACC validation |
within standard range |
Step 4 — Estimate Terminal Value
| Terminal-value input |
Value |
| Perpetuity growth rate |
2.50% |
| Terminal value |
$34.26B |
| Implied terminal EV / EBITDA |
9.90x |
| Terminal value as % of enterprise value |
76.81% |
Step 5 — Discount Cash Flows to Enterprise Value
| Enterprise-value component |
Value |
| Present value of explicit FCFF |
$7.12B |
| Present value of terminal value |
$23.57B |
| Indicated enterprise value |
$30.69B |
| 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 |
$30.69B |
| Less: gross interest-bearing debt |
$10.00B |
| Add: cash and equivalents |
$2.41B |
| Add: affiliate investments |
$0.00 |
| Less: minority interests |
$344.81M |
| Indicated common equity value |
$22.75B |
Step 7 — Calculate Indicative Value Per Share
| Per-share output |
Value |
| Shares used |
71,058,000.00 |
| Share-count basis |
reported diluted weighted-average shares |
| Current market price |
$409.60 |
| DCF indicative value per share |
$320.23 |
| Indicative value vs. market price |
-21.82% |
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 |
3/4 evidenced checks |
| Lynch-inspired balance-and-growth checks |
3/4 evidenced checks |
Data lineage: Yahoo Finance public market and reported-statement data; retrieval timestamp: 2026-08-18 17:28:07.432779 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 |
-24.01% |
-12.89% |
| Adjusted R² |
0.18 |
0.20 |
| Annualised residual volatility |
34.64% |
33.98% |
| Factor loading (t-statistic) |
FF3 |
FF5 |
| Market excess return (Mkt-RF) |
1.23 (6.04) |
1.53 (6.66) |
| Size (SMB) |
0.26 (0.96) |
0.19 (0.65) |
| Value (HML) |
0.81 (3.41) |
0.40 (1.38) |
| Profitability (RMW) |
NM |
0.41 (1.69) |
| Investment (CMA) |
NM |
0.79 (1.88) |
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.