Wolfspeed (WOLF) Accumulated Expenses (2018 - 2023)
Wolfspeed's Accumulated Expenses was $97.3 million in fiscal Q4 2023 (quarter ended Jun 25, 2023), up 161.6% from $37.2 million a year earlier.
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Analysis
Wolfspeed (WOLF) Accumulated Expenses (2018 - 2023) Analysis & Trends
From fiscal Q4 2018 onward, Wolfspeed has reported Accumulated Expenses for 16 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 24.3% (FY2018 to FY2023).
- In earlier fiscal years, Accumulated Expenses was $37.2 million in FY2022 (+113.8%), $17.4 million in FY2021 (-68.5%), $55.3 million in FY2020 (+62.6%) and $34 million in FY2019 (+3.7%).
- The fiscal Q4 2023 figure marks the highest quarterly Accumulated Expenses since fiscal Q3 2021.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last six quarters, with growth averaging 18.5%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2021 (growth of 452.6%); the worst was fiscal Q3 2022 (a decline of 87.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn |
| 10 | Wolfspeed | 924.57 Mn | -175.43 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 25, 2023 | 97.30 Mn |
| Sep 25, 2022 | 34.90 Mn |
| Jun 26, 2022 | 37.20 Mn |
| Mar 27, 2022 | 21.00 Mn |
| Dec 26, 2021 | 20.50 Mn |
| Sep 26, 2021 | 19.50 Mn |
| Jun 27, 2021 | 17.40 Mn |
| Mar 28, 2021 | 172.40 Mn |
| Dec 27, 2020 | 124.10 Mn |
| Sep 27, 2020 | 70.30 Mn |
| Jun 28, 2020 | 55.30 Mn |
| Mar 29, 2020 | 31.20 Mn |
| Dec 29, 2019 | 33.70 Mn |
| Sep 29, 2019 | 29.90 Mn |
| Jun 30, 2019 | 34.00 Mn |
| Jun 24, 2018 | 32.80 Mn |
API Access
Wolfspeed 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=accumulated-expenses&ticker=WOLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();