Wolfspeed (WOLF) Other Accumulated Expenses (2010 - 2026)
Wolfspeed (WOLF) reported Other Accumulated Expenses of $51.1 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 76.8% from $220.5 million a year earlier and down 8.8% from the prior quarter.
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Analysis
Wolfspeed (WOLF) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Wolfspeed's Other Accumulated Expenses record includes 65 quarters.
- Other Accumulated Expenses has a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $220.5 million in FY2025 (+183.1%), $77.9 million in FY2024 (+118.2%), $35.7 million in FY2023 (+12.6%) and $31.7 million in FY2022 (-17.9%).
- Five-year quarterly Other Accumulated Expenses spans a low of $26.2 million in fiscal Q2 2023 and a high of $220.5 million in fiscal Q4 2025.
- Year over year, Other Accumulated Expenses has now declined in each of the last four quarters, with growth averaging 26.7% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q2 2024 (growth of 227.1%); the low point was fiscal Q4 2026 (a decline of 76.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $56 million (Q3 2026), $58.8 million (Q2 2026) and $29.3 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn |
| 10 | Wolfspeed | 885.87 Mn | -214.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 51.10 Mn |
| Mar 29, 2026 | 56.00 Mn |
| Dec 28, 2025 | 58.80 Mn |
| Sep 28, 2025 | 29.30 Mn |
| Jun 29, 2025 | 220.50 Mn |
| Mar 30, 2025 | 179.70 Mn |
| Dec 29, 2024 | 207.60 Mn |
| Sep 29, 2024 | 117.80 Mn |
| Jun 30, 2024 | 77.90 Mn |
| Mar 31, 2024 | 104.70 Mn |
| Dec 31, 2023 | 85.70 Mn |
| Sep 24, 2023 | 56.30 Mn |
| Jun 25, 2023 | 35.70 Mn |
| Mar 26, 2023 | 33.50 Mn |
| Dec 25, 2022 | 26.20 Mn |
| Sep 25, 2022 | 26.80 Mn |
| Jun 26, 2022 | 31.70 Mn |
| Mar 27, 2022 | 34.10 Mn |
| Dec 26, 2021 | 37.30 Mn |
| Sep 26, 2021 | 36.60 Mn |
API Access
Wolfspeed Other Accumulated 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=other-accumulated-expenses&ticker=WOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();