Hewlett Packard Enterprise (HPE) Operating Expenses (2015 - 2026)
Hewlett Packard Enterprise (HPE) reported Operating Expenses of $10.82 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 21.7% from $8.89 billion a year earlier and up 9.0% from the prior quarter.
Hewlett Packard Enterprise (HPE) Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Hewlett Packard Enterprise's Operating Expenses came in at $39.27 billion, up 19.7% year-over-year; for FY2025 (ended Oct 31, 2025), it was $34.73 billion, up 24.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $27.94 billion in FY2024 (+3.3%), $27.05 billion in FY2023 (-2.4%), $27.71 billion in FY2022 (+4.0%) and $26.65 billion in FY2021 (-2.4%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses since fiscal Q1 2016.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 20.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2025 (growth of 28.9%); the low point was fiscal Q4 2023 (a decline of 16.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $9.93 billion (Q2 2026), $8.83 billion (Q1 2026) and $9.69 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,023.53 Bn | 4,771.02 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 434.59 Bn | 370.52 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 303.32 Bn | 259.08 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 233.08 Bn | 186.53 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 204.99 Bn | 193.51 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 151.41 Bn | 146.40 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Sony | 147.67 Bn | 84.93 Bn | 6.53 Bn | 14.83 Bn |
| 8 | Western Digital | 122.89 Bn | 111.02 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 78.34 Bn | 56.22 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Lumentum Holdings | 64.86 Bn | 56.67 Bn | 477.30 Mn | 198.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.82 Bn |
| Apr 30, 2026 | 9.93 Bn |
| Jan 31, 2026 | 8.83 Bn |
| Oct 31, 2025 | 9.69 Bn |
| Jul 31, 2025 | 8.89 Bn |
| Apr 30, 2025 | 8.74 Bn |
| Jan 31, 2025 | 7.42 Bn |
| Oct 31, 2024 | 7.77 Bn |
| Jul 31, 2024 | 7.16 Bn |
| Apr 30, 2024 | 6.78 Bn |
| Jan 31, 2024 | 6.23 Bn |
| Oct 31, 2023 | 6.84 Bn |
| Jul 31, 2023 | 6.53 Bn |
| Apr 30, 2023 | 6.45 Bn |
| Jan 31, 2023 | 7.22 Bn |
| Oct 31, 2022 | 8.21 Bn |
| Jul 31, 2022 | 6.49 Bn |
| Apr 30, 2022 | 6.51 Bn |
| Jan 31, 2022 | 6.51 Bn |
| Oct 31, 2021 | 7.00 Bn |
Hewlett Packard Enterprise Operating Expenses 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=operating-expenses&ticker=HPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();