Hewlett Packard Enterprise (HPE) Research & Development (2015 - 2026)
Hewlett Packard Enterprise (HPE) reported Research & Development of $1.16 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 86.2% from $622 million a year earlier and up 25.6% from the prior quarter.
Hewlett Packard Enterprise (HPE) Research & Development (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Hewlett Packard Enterprise's Research & Development came in at $3.71 billion, up 71.2% year-over-year; for FY2025 (ended Oct 31, 2025), it was $2.52 billion, up 12.1% from FY2024.
- Research & Development has a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- By fiscal year, Research & Development came in at $2.25 billion in FY2024 (-4.4%), $2.35 billion in FY2023 (+14.9%), $2.05 billion in FY2022 (+3.3%) and $1.98 billion in FY2021 (+5.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Research & Development in data going back to fiscal Q1 2015.
- Year over year, Research & Development has now increased in each of the last five quarters, with growth averaging 32.3% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was fiscal Q3 2026 (growth of 86.2%); the low point was fiscal Q1 2025 (a decline of 18.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $922 million (Q2 2026), $744 million (Q1 2026) and $881 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,023.53 Bn | 4,771.02 Bn | 54.77 Bn | 11.73 Bn |
| 2 | Cisco Systems | 434.59 Bn | 370.52 Bn | 11.06 Bn | 2.43 Bn |
| 3 | Dell Technologies | 303.32 Bn | 259.08 Bn | 9.83 Bn | 1.11 Bn |
| 4 | Arista Networks | 233.08 Bn | 186.53 Bn | 1.91 Bn | 348.20 Mn |
| 5 | Sandisk | 204.99 Bn | 193.51 Bn | 7.58 Bn | 348.00 Mn |
| 6 | Seagate Technology Holdings | 151.41 Bn | 146.40 Bn | 1.90 Bn | 188.00 Mn |
| 7 | Sony | 147.67 Bn | 84.93 Bn | 6.53 Bn | - |
| 8 | Western Digital | 122.89 Bn | 111.02 Bn | 2.03 Bn | 284.00 Mn |
| 9 | Hewlett Packard Enterprise | 78.34 Bn | 56.22 Bn | 4.93 Bn | 1.16 Bn |
| 10 | Lumentum Holdings | 64.86 Bn | 56.67 Bn | 477.30 Mn | 104.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.16 Bn |
| Apr 30, 2026 | 922.00 Mn |
| Jan 31, 2026 | 744.00 Mn |
| Oct 31, 2025 | 881.00 Mn |
| Jul 31, 2025 | 622.00 Mn |
| Apr 30, 2025 | 540.00 Mn |
| Jan 31, 2025 | 475.00 Mn |
| Oct 31, 2024 | 527.00 Mn |
| Jul 31, 2024 | 547.00 Mn |
| Apr 30, 2024 | 590.00 Mn |
| Jan 31, 2024 | 582.00 Mn |
| Oct 31, 2023 | 578.00 Mn |
| Jul 31, 2023 | 578.00 Mn |
| Apr 30, 2023 | 570.00 Mn |
| Jan 31, 2023 | 623.00 Mn |
| Oct 31, 2022 | 515.00 Mn |
| Jul 31, 2022 | 509.00 Mn |
| Apr 30, 2022 | 517.00 Mn |
| Jan 31, 2022 | 504.00 Mn |
| Oct 31, 2021 | 502.00 Mn |
Hewlett Packard Enterprise 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=HPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "HPE", "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=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();