Wolfspeed (WOLF) Other Non-Current Assets (2010 - 2026)
Wolfspeed's Other Non-Current Assets came in at $215.4 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 19.3% from $266.9 million a year earlier but up 6.4% from the prior quarter.
Wolfspeed (WOLF) Other Non-Current Assets (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Wolfspeed's Other Non-Current Assets data covers 65 quarters.
- Other Non-Current Assets carries a five-year compound annual growth rate of 43.4% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Assets was $266.9 million in FY2025 (+18.6%), $225.1 million in FY2024 (-25.8%), $303.3 million in FY2023 (+262.4%) and $83.7 million in FY2022 (+135.8%).
- The five-year range for quarterly Other Non-Current Assets is $33.8 million (fiscal Q3 2022) to $688.3 million (fiscal Q3 2024).
- Year-over-year, Other Non-Current Assets has declined for three consecutive quarters, with an average decline of 24.3% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in fiscal Q3 2023 (growth of 553.8%), and the weakest in fiscal Q3 2025 (a decline of 60.5%).
- Business Quant data shows WOLF's Other Non-Current Assets at $202.4 million (Q3 2026), $205.9 million (Q2 2026) and $254.9 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,227.58 Bn | 5,001.74 Bn | 72.14 Bn | 20.70 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,190.76 Bn | 1,815.62 Bn | 27.22 Bn | 4.17 Bn |
| 3 | Broadcom | 1,611.00 Bn | 1,537.05 Bn | 20.46 Bn | 8.71 Bn |
| 4 | Micron Technology | 1,022.35 Bn | 927.99 Bn | 47.05 Bn | 10.34 Bn |
| 5 | Advanced Micro Devices | 880.51 Bn | 837.26 Bn | 6.20 Bn | 7.90 Bn |
| 6 | Asml Holding | 636.41 Bn | 592.10 Bn | 5.90 Bn | 1.26 Bn |
| 7 | Intel | 467.45 Bn | 336.58 Bn | 6.51 Bn | 8.07 Bn |
| 8 | Lam Research | 335.82 Bn | 312.62 Bn | 3.48 Bn | 3.07 Bn |
| 9 | Applied Materials | 324.29 Bn | 289.73 Bn | 4.59 Bn | 1.45 Bn |
| 10 | Wolfspeed | 944.90 Mn | -155.10 Mn | - | 215.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 215.40 Mn |
| Mar 29, 2026 | 202.40 Mn |
| Dec 28, 2025 | 205.90 Mn |
| Sep 28, 2025 | 254.90 Mn |
| Jun 29, 2025 | 266.90 Mn |
| Mar 30, 2025 | 271.80 Mn |
| Dec 29, 2024 | 264.90 Mn |
| Sep 29, 2024 | 251.10 Mn |
| Jun 30, 2024 | 225.10 Mn |
| Mar 31, 2024 | 688.30 Mn |
| Dec 31, 2023 | 541.10 Mn |
| Sep 24, 2023 | 392.10 Mn |
| Jun 25, 2023 | 427.80 Mn |
| Mar 26, 2023 | 221.00 Mn |
| Dec 25, 2022 | 125.90 Mn |
| Sep 25, 2022 | 89.00 Mn |
| Jun 26, 2022 | 83.70 Mn |
| Mar 27, 2022 | 33.80 Mn |
| Dec 26, 2021 | 35.20 Mn |
| Sep 26, 2021 | 36.90 Mn |
Wolfspeed Other Non-Current Assets 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-non-current-assets&ticker=WOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-non-current-assets&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();