Hewlett Packard Enterprise (HPE) EBITDA (2015 - 2026)
Hewlett Packard Enterprise's (HPE) quarterly EBITDA came in at $1.4 billion in Q3 2026, up 463.97% year-over-year from $247.0 million in Q3 2025, and up 86.48% quarter-over-quarter from $747.0 million in Q2 2026.
Hewlett Packard Enterprise (HPE) EBITDA (2015 - 2026) Analysis & Trends
Hewlett Packard Enterprise has disclosed EBITDA across 12 years of filings, most recently posting $1.4 billion for Q3 2026.
- In Q3 2026, EBITDA rose 463.97% year-over-year to $1.4 billion; the TTM figure through Jul 2026 stood at $2.6 billion (up 885.61% YoY), while the FY2025 annual figure was -$437.0 million, down 119.95% from the prior year.
- EBITDA came in at $1.4 billion for Q3 2026 at Hewlett Packard Enterprise, up from $747.0 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $1.4 billion in Q3 2026 to a low of -$1.1 billion in Q2 2025.
- Average EBITDA over 5 years is $380.7 million, with a median of $470.0 million recorded in 2026.
- Year-over-year, EBITDA plunged 360.94% in 2025 and surged 463.97% in 2026.
- Over 5 years, EBITDA stood at -$339.0 million in 2022, then soared by 249.56% to $507.0 million in 2023, then soared by 36.69% to $693.0 million in 2024, then sank by 101.15% to -$8.0 million in 2025, then jumped by 17512.5% to $1.4 billion in 2026.
- Per Business Quant data, the three most recent EBITDA figures were $1.4 billion in Q3 2026, $747.0 million in Q2 2026, and $470.0 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,923.51 Bn | 4,861.11 Bn | 54.77 Bn | 35.70 Bn |
| 2 | Cisco Systems | 419.97 Bn | 404.45 Bn | 11.06 Bn | 4.26 Bn |
| 3 | Dell Technologies | 351.63 Bn | 340.06 Bn | 9.83 Bn | 5.39 Bn |
| 4 | Sandisk | 265.22 Bn | 260.46 Bn | 7.58 Bn | 7.04 Bn |
| 5 | Arista Networks | 256.62 Bn | 243.27 Bn | 1.91 Bn | 1.38 Bn |
| 6 | Seagate Technology Holdings | 209.52 Bn | 207.82 Bn | 1.90 Bn | 1.56 Bn |
| 7 | Western Digital | 171.00 Bn | 169.42 Bn | 2.03 Bn | 1.56 Bn |
| 8 | Sony | 142.68 Bn | 123.26 Bn | 6.53 Bn | 2.99 Bn |
| 9 | Lumentum Holdings | 83.02 Bn | 80.28 Bn | 477.30 Mn | 316.90 Mn |
| 10 | Hewlett Packard Enterprise | 82.82 Bn | 76.61 Bn | 4.93 Bn | 1.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.26 Bn |
| Apr 30, 2026 | 1.62 Bn |
| Jan 31, 2026 | 1.37 Bn |
| Oct 31, 2025 | 1.11 Bn |
| Jul 31, 2025 | 934.00 Mn |
| Apr 30, 2025 | 826.00 Mn |
| Jan 31, 2025 | 1.03 Bn |
| Oct 31, 2024 | 1.33 Bn |
| Jul 31, 2024 | 1.17 Bn |
| Apr 30, 2024 | 1.07 Bn |
| Jan 31, 2024 | 1.18 Bn |
| Oct 31, 2023 | 1.16 Bn |
| Jul 31, 2023 | 1.13 Bn |
| Apr 30, 2023 | 1.17 Bn |
| Jan 31, 2023 | 1.25 Bn |
| Oct 31, 2022 | 279.00 Mn |
| Jul 31, 2022 | 1.09 Bn |
| Apr 30, 2022 | 828.00 Mn |
| Jan 31, 2022 | 1.07 Bn |
| Oct 31, 2021 | 991.00 Mn |
Hewlett Packard Enterprise EBITDA 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=ebitda&ticker=HPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();