Wolfspeed (WOLF) Research & Development (2009 - 2026)
Wolfspeed (WOLF) posted Research & Development of -$3.8 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), compared with $37.6 million a year earlier.
Wolfspeed (WOLF) Research & Development (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Wolfspeed's Research & Development came in at $80 million, down 54.3% from FY2025.
- Annual Research & Development shows a five-year compound annual growth rate of -14.8% (FY2021 to FY2026).
- In prior fiscal years, Wolfspeed's Research & Development was $175.1 million in FY2025 (-13.3%), $201.9 million in FY2024 (+21.8%), $165.7 million in FY2023 (+16.2%) and $142.6 million in FY2022 (-19.8%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Research & Development since fiscal Q4 2022.
- On a year-over-year basis, Research & Development increased in two of the last seven quarters, with an average decline of 14.5%.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q4 2024, with growth of 37.6%; the weakest was fiscal Q2 2026, with a decline of 43.9%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $52.1 million (Q3 2026), $24.9 million (Q2 2026) and $31.7 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 2.31 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 7.05 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 2.90 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 2.80 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 1.91 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | - |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 3.49 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 1.10 Bn |
| 10 | Wolfspeed | 1.03 Bn | -62.38 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 27.20 Mn |
| Dec 28, 2025 | 24.90 Mn |
| Sep 28, 2025 | 31.70 Mn |
| Jun 29, 2025 | 37.60 Mn |
| Mar 30, 2025 | 42.20 Mn |
| Dec 29, 2024 | 44.40 Mn |
| Sep 29, 2024 | 50.90 Mn |
| Mar 31, 2024 | 52.50 Mn |
| Dec 31, 2023 | 45.30 Mn |
| Sep 24, 2023 | 44.10 Mn |
| Mar 26, 2023 | 42.40 Mn |
| Dec 25, 2022 | 39.40 Mn |
| Sep 25, 2022 | 40.30 Mn |
| Mar 27, 2022 | 48.10 Mn |
| Dec 26, 2021 | 50.20 Mn |
| Sep 26, 2021 | 49.90 Mn |
| Mar 28, 2021 | 46.00 Mn |
| Dec 27, 2020 | 45.50 Mn |
| Sep 27, 2020 | 41.20 Mn |
| Mar 29, 2020 | 38.60 Mn |
Wolfspeed Research & Development 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=research-and-development&ticker=WOLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=WOLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();