Hewlett Packard Enterprise (HPE) Other Operating Expenses (2015 - 2025)
Hewlett Packard Enterprise's (HPE) quarterly Other Operating Expenses came in at $3.0 million in Q4 2025, up 200.0% quarter-over-quarter from $1.0 million in Q3 2025.
Hewlett Packard Enterprise (HPE) Other Operating Expenses (2015 - 2025) Analysis & Trends
Hewlett Packard Enterprise has disclosed Other Operating Expenses across 10 years of filings, most recently posting $3.0 million for Q4 2025.
- In Q4 2025, Other Operating Expenses changed N/A year-over-year to $3.0 million; the TTM figure through Jul 2026 stood at $3.0 million (down 98.78% YoY), while the FY2025 annual figure was $248.0 million, changed N/A from the prior year.
- Other Operating Expenses came in at $3.0 million for Q4 2025 at Hewlett Packard Enterprise, up from $1.0 million in the prior quarter.
- In the past five years, Other Operating Expenses ranged from a high of $6.4 billion in Q4 2022 to a low of $1.0 million in Q3 2025.
- Average Other Operating Expenses over 4 years is $4.0 billion, with a median of $4.7 billion recorded in 2022.
- Year-over-year, Other Operating Expenses climbed 23.35% in 2022 and decreased 23.67% in 2023.
- Over 4 years, Other Operating Expenses stood at $5.2 billion in 2021, then advanced by 23.35% to $6.4 billion in 2022, then decreased by 23.67% to $4.9 billion in 2023, then plunged by 99.94% to $3.0 million in 2025.
- Per Business Quant data, the three most recent Other Operating Expenses figures were $3.0 million in Q4 2025, $1.0 million in Q3 2025, and $244.0 million in Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,923.51 Bn | 4,861.11 Bn | 54.77 Bn |
| 2 | Cisco Systems | 419.97 Bn | 404.45 Bn | 11.06 Bn |
| 3 | Dell Technologies | 351.63 Bn | 340.06 Bn | 9.83 Bn |
| 4 | Sandisk | 265.22 Bn | 260.46 Bn | 7.58 Bn |
| 5 | Arista Networks | 256.62 Bn | 243.27 Bn | 1.91 Bn |
| 6 | Seagate Technology Holdings | 209.52 Bn | 207.82 Bn | 1.90 Bn |
| 7 | Western Digital | 171.00 Bn | 169.42 Bn | 2.03 Bn |
| 8 | Sony | 142.68 Bn | 123.26 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 83.02 Bn | 80.28 Bn | 477.30 Mn |
| 10 | Hewlett Packard Enterprise | 82.82 Bn | 76.61 Bn | 4.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 3.00 Mn |
| Jul 31, 2025 | 1.00 Mn |
| Jan 31, 2025 | 244.00 Mn |
| Oct 31, 2023 | 4.92 Bn |
| Jul 31, 2023 | 4.63 Bn |
| Apr 30, 2023 | 4.60 Bn |
| Jan 31, 2023 | 5.33 Bn |
| Oct 31, 2022 | 6.44 Bn |
| Jul 31, 2022 | 4.74 Bn |
| Apr 30, 2022 | 4.73 Bn |
| Jan 31, 2022 | 4.80 Bn |
| Oct 31, 2021 | 5.22 Bn |
| Jul 31, 2021 | 4.82 Bn |
| Apr 30, 2021 | 4.71 Bn |
| Jan 31, 2021 | 4.97 Bn |
| Oct 31, 2020 | 5.39 Bn |
| Jul 31, 2020 | 5.20 Bn |
| Apr 30, 2020 | 5.27 Bn |
| Jan 31, 2020 | 4.88 Bn |
| Oct 31, 2019 | 5.04 Bn |
Hewlett Packard Enterprise Other 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=other-operating-expenses&ticker=HPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();