Wenyuan (WYGC) Return on Capital Employed [ROCE] (2013 - 2025)
Wenyuan (WYGC) recorded Return on Capital Employed [ROCE] of -495.79% in Q4 2025, up 267.01 percentage points from -762.80% a year earlier.
Wenyuan (WYGC) Return on Capital Employed [ROCE] (2013 - 2025) Analysis & Trends
For FY2025, Wenyuan reported Return on Capital Employed [ROCE] of -403.33%, down 37.17 percentage points from FY2024.
- Across earlier years, Return on Capital Employed [ROCE] came in at -366.16% in FY2024.
- The Q4 2025 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in four of the last five quarters, with an average year-over-year change of +1295.85 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | 10.62% |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn | 30.02% |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn | 18.83% |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn | 46.05% |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn | 30.97% |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn | 15.67% |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn | 33.34% |
| 10 | Wenyuan | 3.30 Mn | 3.30 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -495.79% |
| Mar 31, 2025 | -1,555.91% |
| Dec 31, 2024 | -762.80% |
| Sep 30, 2024 | -355.77% |
| Jun 30, 2024 | -594.94% |
| Mar 31, 2024 | -366.69% |
| Sep 30, 2023 | -3,728.25% |
| Jun 30, 2023 | -2,742.58% |
| Mar 31, 2023 | -2,184.53% |
| Dec 31, 2022 | -196.06% |
| Sep 30, 2022 | -257.70% |
| Mar 31, 2015 | -202.46% |
| Dec 31, 2014 | -78.35% |
| Sep 30, 2014 | -3,366.76% |
| Jun 30, 2014 | -9,938.65% |
| Dec 31, 2013 | -198.98% |
Wenyuan Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=WYGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "WYGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();