Hewlett Packard Enterprise (HPE) Restructuring Costs (2015 - 2026)
Hewlett Packard Enterprise (HPE) reported Restructuring Costs of $71 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 60.8% from $181 million a year earlier and down 9.0% from the prior quarter.
Hewlett Packard Enterprise (HPE) Restructuring Costs (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Hewlett Packard Enterprise's Restructuring Costs came in at $420 million, up 13.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $458 million, up 117.1% from FY2024.
- Restructuring Costs has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 41.8% (FY2020 to FY2025).
- By fiscal year, Restructuring Costs came in at $211 million in FY2024 (+201.4%), $70 million in FY2023 (+268.4%), $19 million in FY2022 (-47.2%) and $36 million in FY2021 (-55.0%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Restructuring Costs since fiscal Q2 2025.
- Year over year, Restructuring Costs gained in six of the last eight quarters, with growth averaging 111.4%.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q3 2025 (growth of 331.0%); the low point was fiscal Q4 2021 (a decline of 92.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $78 million (Q2 2026), $117 million (Q1 2026) and $154 million (Q4 2025).
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 |
|---|---|
| Jul 31, 2026 | 71.00 Mn |
| Apr 30, 2026 | 78.00 Mn |
| Jan 31, 2026 | 117.00 Mn |
| Oct 31, 2025 | 154.00 Mn |
| Jul 31, 2025 | 181.00 Mn |
| Apr 30, 2025 | 42.00 Mn |
| Jan 31, 2025 | 66.00 Mn |
| Oct 31, 2024 | 80.00 Mn |
| Jul 31, 2024 | 42.00 Mn |
| Apr 30, 2024 | 46.00 Mn |
| Jan 31, 2024 | 43.00 Mn |
| Oct 31, 2023 | 19.00 Mn |
| Jul 31, 2023 | 21.00 Mn |
| Apr 30, 2023 | 19.00 Mn |
| Jan 31, 2023 | 11.00 Mn |
| Oct 31, 2022 | -6.00 Mn |
| Jul 31, 2022 | 9.00 Mn |
| Apr 30, 2022 | 8.00 Mn |
| Jan 31, 2022 | 8.00 Mn |
| Oct 31, 2021 | 2.00 Mn |
Hewlett Packard Enterprise Restructuring Costs 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=restructuring-costs&ticker=HPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();