Hewlett Packard Enterprise (HPE) Accumulated Expenses (2014 - 2025)
Hewlett Packard Enterprise (HPE) posted Accumulated Expenses of $39 million for fiscal Q2 2025 (quarter ended Apr 30, 2025), down 59.8% from $97 million a year earlier and down 15.2% from the prior quarter.
Hewlett Packard Enterprise (HPE) Accumulated Expenses (2014 - 2025) Analysis & Trends
At the end of FY2024 (ended Oct 31, 2024), Hewlett Packard Enterprise's Accumulated Expenses came in at $61 million, down 66.1% from FY2023.
- Annual Accumulated Expenses has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -20.7% (FY2019 to FY2024).
- In prior fiscal years, Hewlett Packard Enterprise's Accumulated Expenses was $180 million in FY2023 (-6.3%), $192 million in FY2022 (-33.8%), $290 million in FY2021 (-20.8%) and $366 million in FY2020 (+87.7%).
- The fiscal Q2 2025 figure stands as the lowest quarterly Accumulated Expenses in data going back to fiscal Q4 2014.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last 16 quarters, with an average decline of 39.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2020, with growth of 87.7%; the weakest was fiscal Q4 2024, with a decline of 66.1%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $46 million (Q1 2025), $61 million (Q4 2024) and $86 million (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,023.53 Bn | 4,771.02 Bn | 54.77 Bn |
| 2 | Cisco Systems | 434.59 Bn | 370.52 Bn | 11.06 Bn |
| 3 | Dell Technologies | 303.32 Bn | 259.08 Bn | 9.83 Bn |
| 4 | Arista Networks | 233.08 Bn | 186.53 Bn | 1.91 Bn |
| 5 | Sandisk | 204.99 Bn | 193.51 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 151.41 Bn | 146.40 Bn | 1.90 Bn |
| 7 | Sony | 147.67 Bn | 84.93 Bn | 6.53 Bn |
| 8 | Western Digital | 122.89 Bn | 111.02 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 78.34 Bn | 56.22 Bn | 4.93 Bn |
| 10 | Lumentum Holdings | 64.86 Bn | 56.67 Bn | 477.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2025 | 39.00 Mn |
| Jan 31, 2025 | 46.00 Mn |
| Oct 31, 2024 | 61.00 Mn |
| Jul 31, 2024 | 86.00 Mn |
| Apr 30, 2024 | 97.00 Mn |
| Jan 31, 2024 | 121.00 Mn |
| Oct 31, 2023 | 180.00 Mn |
| Jul 31, 2023 | 149.00 Mn |
| Apr 30, 2023 | 166.00 Mn |
| Jan 31, 2023 | 185.00 Mn |
| Oct 31, 2022 | 192.00 Mn |
| Jul 31, 2022 | 160.00 Mn |
| Apr 30, 2022 | 183.00 Mn |
| Jan 31, 2022 | 225.00 Mn |
| Oct 31, 2021 | 290.00 Mn |
| Jul 31, 2021 | 267.00 Mn |
| Apr 30, 2021 | 233.00 Mn |
| Jan 31, 2021 | 241.00 Mn |
| Oct 31, 2020 | 366.00 Mn |
| Jul 31, 2020 | 386.00 Mn |
Hewlett Packard Enterprise Accumulated 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=accumulated-expenses&ticker=HPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();