Wolfspeed (WOLF) Asset Writedowns and Impairment (2017 - 2026)
Wolfspeed (WOLF) posted Asset Writedowns and Impairment of $34 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 90.4% from $354.4 million a year earlier but up 16.8% from the prior quarter.
Wolfspeed (WOLF) Asset Writedowns and Impairment (2017 - 2026) Analysis & Trends
Since fiscal Q3 2018, Wolfspeed has reported Asset Writedowns and Impairment for 12 quarters.
- In prior fiscal years, Wolfspeed's Asset Writedowns and Impairment was $359.2 million in FY2025 and $13.9 million in FY2024.
- Quarterly Asset Writedowns and Impairment has run from a low of $4.8 million in fiscal Q3 2025 to a high of $354.4 million in fiscal Q4 2025 over five years.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior fiscal quarters was $29.1 million (Q3 2026), $22.8 million (Q2 2026) and $29 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,150.66 Bn | 4,924.82 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,177.77 Bn | 1,802.63 Bn | 27.22 Bn |
| 3 | Broadcom | 1,557.96 Bn | 1,484.00 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,000.35 Bn | 905.98 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 850.88 Bn | 807.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 610.33 Bn | 566.02 Bn | 5.90 Bn |
| 7 | Intel | 444.84 Bn | 313.97 Bn | 6.51 Bn |
| 8 | Applied Materials | 303.38 Bn | 268.82 Bn | 4.59 Bn |
| 9 | Lam Research | 288.62 Bn | 264.67 Bn | 4.30 Bn |
| 10 | Wolfspeed | 878.83 Mn | -221.17 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | -51.80 Mn |
| Dec 28, 2025 | 22.80 Mn |
| Sep 28, 2025 | 29.00 Mn |
| Jun 29, 2025 | 354.40 Mn |
| Mar 30, 2025 | 4.80 Mn |
| Jun 30, 2024 | 13.90 Mn |
| Sep 27, 2020 | 105.70 Mn |
| Jun 30, 2019 | -107.28 Mn |
| Mar 31, 2019 | 197.60 Mn |
| Jun 24, 2018 | 45,000.00 |
| Mar 25, 2018 | 247.50 Mn |
| Jun 25, 2017 | 7.40 Mn |
Wolfspeed Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=WOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();