Wolfspeed (WOLF) Total Non-Current Liabilities (2010 - 2026)
Wolfspeed (WOLF) recorded Total Non-Current Liabilities of $1.92 billion in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 808.3% from $211.5 million a year earlier but down 2.3% from the prior quarter.
Wolfspeed (WOLF) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Wolfspeed's Total Non-Current Liabilities history includes 65 quarters.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $211.5 million in FY2025 (-96.7%), $6.44 billion in FY2024 (+48.4%), $4.34 billion in FY2023 (+298.0%) and $1.09 billion in FY2022 (+23.6%).
- Quarterly Total Non-Current Liabilities has ranged from $211.5 million in fiscal Q4 2025 to $6.74 billion in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with growth averaging 67.6%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 808.3% in fiscal Q4 2026, against a decline of 96.7% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.97 billion (Q3 2026), $2.6 billion (Q2 2026) and $316.2 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | 32.74 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 45.85 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | 7.86 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 9.67 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 15.60 Bn |
| 10 | Wolfspeed | 924.57 Mn | -175.43 Mn | - | 1.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.92 Bn |
| Mar 29, 2026 | 1.97 Bn |
| Dec 28, 2025 | 2.57 Bn |
| Sep 28, 2025 | 299.60 Mn |
| Jun 29, 2025 | 211.50 Mn |
| Mar 30, 2025 | 6.74 Bn |
| Dec 29, 2024 | 6.66 Bn |
| Sep 29, 2024 | 6.45 Bn |
| Jun 30, 2024 | 6.44 Bn |
| Mar 31, 2024 | 5.95 Bn |
| Dec 31, 2023 | 5.47 Bn |
| Sep 24, 2023 | 5.32 Bn |
| Jun 25, 2023 | 4.34 Bn |
| Mar 26, 2023 | 3.14 Bn |
| Dec 25, 2022 | 3.10 Bn |
| Sep 25, 2022 | 1.37 Bn |
| Jun 26, 2022 | 1.09 Bn |
| Mar 27, 2022 | 1.04 Bn |
| Dec 26, 2021 | 497.00 Mn |
| Sep 26, 2021 | 890.40 Mn |
Wolfspeed Total Non-Current 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-non-current-liabilities&ticker=WOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();