Wolfspeed (WOLF) Return on Assets [ROA] (2010 - 2026)
Wolfspeed's Return on Assets [ROA] came in at -53.00% for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 30.69 percentage points from -22.31% a year earlier and down 0.39 percentage points from the prior quarter.
Wolfspeed (WOLF) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Wolfspeed's Return on Assets [ROA] was -8.43%, up 13.25 percentage points from FY2025.
- Return on Assets [ROA] carries a five-year change of +7.21 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was -21.69% in FY2025 (-9.83 pp), -11.86% in FY2024 (-5.58 pp), -6.28% in FY2023 (-0.83 pp) and -5.46% in FY2022 (+10.19 pp).
- The fiscal Q4 2026 figure represents the lowest quarterly Return on Assets [ROA] in data going back to fiscal Q1 2011.
- Year-over-year, Return on Assets [ROA] has declined for seven consecutive quarters, with an average year-over-year change of -15.99 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q4 2022 (a gain of 9.79 percentage points), and the weakest in fiscal Q3 2026 (a drop of 38.05 percentage points).
- Business Quant data shows WOLF's Return on Assets [ROA] at -52.61% (Q3 2026), -34.99% (Q2 2026) and -29.40% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 66.53% |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | 7.14% |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 20.84% |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 51.46% |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 7.84% |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | - |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | -5.49% |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 32.78% |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 22.11% |
| 10 | Wolfspeed | 924.57 Mn | -175.43 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | -48.04% |
| Dec 28, 2025 | -34.99% |
| Sep 28, 2025 | -29.40% |
| Jun 29, 2025 | -22.31% |
| Mar 30, 2025 | -14.56% |
| Dec 29, 2024 | -12.54% |
| Sep 29, 2024 | -9.48% |
| Jun 30, 2024 | -11.02% |
| Mar 31, 2024 | -10.71% |
| Dec 31, 2023 | -10.32% |
| Sep 24, 2023 | -10.06% |
| Jun 25, 2023 | -5.48% |
| Mar 26, 2023 | -3.41% |
| Dec 25, 2022 | -3.29% |
| Sep 25, 2022 | -4.04% |
| Jun 26, 2022 | -5.24% |
| Mar 27, 2022 | -10.93% |
| Dec 26, 2021 | -13.07% |
| Sep 26, 2021 | -12.20% |
| Jun 27, 2021 | -15.03% |
Wolfspeed Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=WOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();