Wolfspeed (WOLF) Operating Expenses (2009 - 2026)
Wolfspeed (WOLF) recorded Operating Expenses of -$4.4 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), compared with $196.5 million a year earlier.
Powered by 
Analysis
Wolfspeed (WOLF) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Wolfspeed reported Operating Expenses of $238.4 million, down 69.6% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of -7.9% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $783.2 million in FY2025 (+67.0%), $468.9 million in FY2024 (+18.9%), $394.5 million in FY2023 (+21.2%) and $325.6 million in FY2022 (-9.4%).
- The fiscal Q4 2026 figure is the lowest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- On a year-over-year basis, Operating Expenses rose in four of the last seven quarters, with growth averaging 31.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 254.3% in fiscal Q4 2023, against a decline of 72.0% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $154.4 million (Q3 2026), $80.1 million (Q2 2026) and $84.3 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 3.63 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 8.41 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 4.50 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 4.38 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 2.77 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | - |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 4.57 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Wolfspeed | 1.03 Bn | -62.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 74.30 Mn |
| Dec 28, 2025 | 80.10 Mn |
| Sep 28, 2025 | 84.30 Mn |
| Jun 29, 2025 | 196.50 Mn |
| Mar 30, 2025 | 172.00 Mn |
| Dec 29, 2024 | 285.80 Mn |
| Sep 29, 2024 | 193.90 Mn |
| Mar 31, 2024 | 108.30 Mn |
| Dec 31, 2023 | 110.20 Mn |
| Sep 24, 2023 | 108.20 Mn |
| Mar 26, 2023 | 97.50 Mn |
| Dec 25, 2022 | 89.80 Mn |
| Sep 25, 2022 | 90.30 Mn |
| Mar 27, 2022 | 99.60 Mn |
| Dec 26, 2021 | 98.20 Mn |
| Sep 26, 2021 | 98.90 Mn |
| Mar 28, 2021 | 90.20 Mn |
| Dec 27, 2020 | 92.30 Mn |
| Sep 27, 2020 | 85.20 Mn |
| Mar 29, 2020 | 80.30 Mn |
API Access
Wolfspeed Operating Expenses 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=operating-expenses&ticker=WOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();