Wolfspeed (WOLF) Return on Capital Employed [ROCE] (2010 - 2026)
Wolfspeed (WOLF) recorded Return on Capital Employed [ROCE] of -19.21% in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 1050.14 percentage points from -1069.35% a year earlier and up 19.25 percentage points from the prior quarter.
Wolfspeed (WOLF) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Wolfspeed reported Return on Capital Employed [ROCE] of -8.26%, up 395.14 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] has a five-year change of +2.60 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at -403.40% in FY2025 (-396.67 pp), -6.73% in FY2024 (+0.02 pp), -6.74% in FY2023 (-0.58 pp) and -6.17% in FY2022 (+4.69 pp).
- The fiscal Q4 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in 1 of the last eight quarters, with an average year-over-year change of -9.70 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 1050.14 percentage points in fiscal Q4 2026, against a drop of 1063.14 percentage points in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -38.46% (Q3 2026), -23.31% (Q2 2026) and -19.69% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,116.43 Bn | 4,890.59 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.38 Bn | 1,786.24 Bn | 27.22 Bn | 8.44% |
| 3 | Broadcom | 1,539.63 Bn | 1,465.68 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 989.56 Bn | 895.20 Bn | 47.05 Bn | 72.24% |
| 5 | Advanced Micro Devices | 842.39 Bn | 799.14 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 610.49 Bn | 566.17 Bn | 5.90 Bn | - |
| 7 | Intel | 442.19 Bn | 311.32 Bn | 6.51 Bn | -0.05% |
| 8 | Applied Materials | 299.89 Bn | 265.33 Bn | 4.59 Bn | 28.98% |
| 9 | Lam Research | 287.47 Bn | 263.52 Bn | 4.30 Bn | 54.76% |
| 10 | Wolfspeed | 900.33 Mn | -199.67 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | -33.27% |
| Dec 28, 2025 | -23.31% |
| Sep 28, 2025 | -19.69% |
| Jun 29, 2025 | -1,069.35% |
| Mar 30, 2025 | -12.69% |
| Dec 29, 2024 | -11.36% |
| Sep 29, 2024 | -8.13% |
| Jun 30, 2024 | -6.21% |
| Mar 31, 2024 | -5.75% |
| Dec 31, 2023 | -5.55% |
| Sep 24, 2023 | -5.54% |
| Jun 25, 2023 | -5.78% |
| Mar 26, 2023 | -4.93% |
| Dec 25, 2022 | -5.14% |
| Sep 25, 2022 | -5.73% |
| Jun 26, 2022 | -5.89% |
| Mar 27, 2022 | -10.17% |
| Dec 26, 2021 | -11.09% |
| Sep 26, 2021 | -10.48% |
| Jun 27, 2021 | -10.37% |
Wolfspeed 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=WOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "WOLF", "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=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();