Wolfspeed (WOLF) Total Liabilities (2010 - 2026)
Wolfspeed's Total Liabilities was $2.07 billion in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 71.6% from $7.3 billion a year earlier and down 2.4% from the prior quarter.
Wolfspeed (WOLF) Total Liabilities (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Wolfspeed has reported Total Liabilities for 65 quarters.
- Total Liabilities shows a five-year compound annual growth rate of 9.3% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $7.3 billion in FY2025 (+2.8%), $7.1 billion in FY2024 (+43.1%), $4.96 billion in FY2023 (+235.9%) and $1.48 billion in FY2022 (+11.1%).
- The fiscal Q4 2026 figure marks the lowest quarterly Total Liabilities since fiscal Q1 2023.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 18.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2023 (growth of 325.1%); the worst was fiscal Q4 2026 (a decline of 71.6%).
- Per Business Quant data, WOLF's Total Liabilities in the three fiscal quarters before Q4 2026 was $2.13 billion (Q3 2026), $2.82 billion (Q2 2026) and $7.63 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,252.01 Bn | 5,026.17 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,216.92 Bn | 1,841.78 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,599.09 Bn | 1,525.13 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,026.13 Bn | 931.77 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 883.95 Bn | 840.69 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 636.46 Bn | 592.15 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 476.00 Bn | 345.13 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 331.38 Bn | 308.17 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 321.14 Bn | 286.58 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Wolfspeed | 940.41 Mn | -159.59 Mn | - | 2.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.07 Bn |
| Mar 29, 2026 | 2.13 Bn |
| Dec 28, 2025 | 2.82 Bn |
| Sep 28, 2025 | 7.63 Bn |
| Jun 29, 2025 | 7.30 Bn |
| Mar 30, 2025 | 7.36 Bn |
| Dec 29, 2024 | 7.37 Bn |
| Sep 29, 2024 | 7.23 Bn |
| Jun 30, 2024 | 7.10 Bn |
| Mar 31, 2024 | 6.67 Bn |
| Dec 31, 2023 | 6.14 Bn |
| Sep 24, 2023 | 6.07 Bn |
| Jun 25, 2023 | 4.96 Bn |
| Mar 26, 2023 | 3.75 Bn |
| Dec 25, 2022 | 3.56 Bn |
| Sep 25, 2022 | 1.75 Bn |
| Jun 26, 2022 | 1.48 Bn |
| Mar 27, 2022 | 1.36 Bn |
| Dec 26, 2021 | 838.00 Mn |
| Sep 26, 2021 | 1.21 Bn |
Wolfspeed Total Liabilities 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=total-liabilities&ticker=WOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();