Wolfspeed (WOLF) Return on Sales [ROS] (2009 - 2026)
Wolfspeed's Return on Sales [ROS] was -85.80% in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 209.42 percentage points from -295.23% a year earlier but down 0.24 percentage points from the prior quarter.
Wolfspeed (WOLF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Return on Sales [ROS] at Wolfspeed came in at -82.85%, up 92.60 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of -23.13 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -175.45% in FY2025 (-120.28 pp), -55.17% in FY2024 (-14.06 pp), -41.11% in FY2023 (-5.61 pp) and -35.50% in FY2022 (+24.22 pp).
- Quarterly Return on Sales [ROS] has moved between -295.23% (fiscal Q4 2025) and -26.10% (fiscal Q4 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of -15.82 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2026 (a gain of 209.42 percentage points); the worst was fiscal Q4 2025 (a drop of 222.53 percentage points).
- Per Business Quant data, WOLF's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was -85.57% (Q3 2026), -94.01% (Q2 2026) and -82.01% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn | 80.68% |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn | - |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn | 11.14% |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn | 33.74% |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn | 39.95% |
| 10 | Wolfspeed | 885.87 Mn | -214.13 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | -76.10% |
| Dec 28, 2025 | -94.01% |
| Sep 28, 2025 | -82.01% |
| Jun 29, 2025 | -295.23% |
| Mar 30, 2025 | -104.91% |
| Dec 29, 2024 | -178.95% |
| Sep 29, 2024 | -118.18% |
| Jun 30, 2024 | -72.70% |
| Mar 31, 2024 | -53.01% |
| Dec 31, 2023 | -47.07% |
| Sep 24, 2023 | -48.07% |
| Jun 25, 2023 | -44.20% |
| Mar 26, 2023 | -44.50% |
| Dec 25, 2022 | -42.00% |
| Sep 25, 2022 | -33.53% |
| Jun 26, 2022 | -26.10% |
| Mar 27, 2022 | -33.14% |
| Dec 26, 2021 | -35.18% |
| Sep 26, 2021 | -41.95% |
| Jun 27, 2021 | -91.02% |
Wolfspeed Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=WOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();