Extreme Networks (EXTR) Research & Development (2010 - 2026)
Extreme Networks (EXTR) posted Research & Development of $59.42 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.2% from $56.47 million a year earlier and up 0.4% from the prior quarter.
Extreme Networks (EXTR) Research & Development (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Extreme Networks' Research & Development came in at $233.88 million, up 5.6% from FY2025.
- Annual Research & Development shows a five-year compound annual growth rate of 3.5% (FY2021 to FY2026).
- In prior fiscal years, Extreme Networks' Research & Development was $221.46 million in FY2025 (+4.5%), $211.93 million in FY2024 (-1.1%), $214.27 million in FY2023 (+12.4%) and $190.59 million in FY2022 (-3.3%).
- The fiscal Q4 2026 figure stands as the highest quarterly Research & Development in data going back to fiscal Q1 2011.
- On a year-over-year basis, Research & Development has increased in each of the last seven quarters, with growth averaging 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q4 2023, with growth of 23.7%; the weakest was fiscal Q4 2024, with a decline of 16.6%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $59.18 million (Q3 2026), $57.52 million (Q2 2026) and $57.75 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 11.73 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 2.43 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 1.11 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 348.20 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 348.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 188.00 Mn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 284.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 1.16 Bn |
| 10 | Extreme Networks | 2.76 Bn | 1.90 Bn | 210.49 Mn | 59.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.42 Mn |
| Mar 31, 2026 | 59.18 Mn |
| Dec 31, 2025 | 57.52 Mn |
| Sep 30, 2025 | 57.75 Mn |
| Jun 30, 2025 | 56.47 Mn |
| Mar 31, 2025 | 55.66 Mn |
| Dec 31, 2024 | 54.88 Mn |
| Sep 30, 2024 | 54.45 Mn |
| Jun 30, 2024 | 46.57 Mn |
| Mar 31, 2024 | 54.52 Mn |
| Dec 31, 2023 | 52.83 Mn |
| Sep 30, 2023 | 58.02 Mn |
| Jun 30, 2023 | 55.83 Mn |
| Mar 31, 2023 | 54.84 Mn |
| Dec 31, 2022 | 52.62 Mn |
| Sep 30, 2022 | 50.99 Mn |
| Jun 30, 2022 | 45.13 Mn |
| Mar 31, 2022 | 49.62 Mn |
| Dec 31, 2021 | 48.08 Mn |
| Sep 30, 2021 | 47.77 Mn |
Extreme Networks 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=EXTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "EXTR", "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=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();