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 | Nvidia | 5,161.66 Bn | 4,935.82 Bn | 72.14 Bn | 7.05 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,165.56 Bn | 1,790.42 Bn | 27.22 Bn | 2.31 Bn |
| 3 | Broadcom | 1,584.17 Bn | 1,510.22 Bn | 20.46 Bn | 2.90 Bn |
| 4 | Micron Technology | 1,000.99 Bn | 906.63 Bn | 47.05 Bn | 1.91 Bn |
| 5 | Advanced Micro Devices | 860.28 Bn | 817.02 Bn | 6.20 Bn | 2.53 Bn |
| 6 | Asml Holding | 629.07 Bn | 584.76 Bn | 5.90 Bn | - |
| 7 | Intel | 454.87 Bn | 324.00 Bn | 6.51 Bn | 3.37 Bn |
| 8 | Lam Research | 328.35 Bn | 305.14 Bn | 3.48 Bn | 642.92 Mn |
| 9 | Applied Materials | 317.73 Bn | 283.17 Bn | 4.59 Bn | 1.10 Bn |
| 10 | Wolfspeed | 903.07 Mn | -196.93 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 |
| Jun 30, 2024 | 60.00 Mn |
| Mar 31, 2024 | 52.50 Mn |
| Dec 31, 2023 | 45.30 Mn |
| Sep 24, 2023 | 44.10 Mn |
| Jun 25, 2023 | 43.60 Mn |
| Mar 26, 2023 | 42.40 Mn |
| Dec 25, 2022 | 39.40 Mn |
| Sep 25, 2022 | 40.30 Mn |
| Jun 26, 2022 | -5.60 Mn |
| Mar 27, 2022 | 48.10 Mn |
| Dec 26, 2021 | 50.20 Mn |
| Sep 26, 2021 | 49.90 Mn |
| Jun 27, 2021 | 45.10 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();