Hp (HPQ) EBITDA (2009 - 2026)
Hp (HPQ) reported EBITDA of $1.14 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 11.2% from $1.02 billion a year earlier and up 29.7% from the prior quarter.
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Analysis
Hp (HPQ) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Hp's EBITDA came in at $4.15 billion, up 0.7% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $4.09 billion, down 12.0% from FY2024.
- EBITDA has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $4.65 billion in FY2024 (+7.9%), $4.31 billion in FY2023 (-19.3%), $5.34 billion in FY2022 (-13.1%) and $6.14 billion in FY2021 (+45.2%).
- Five-year quarterly EBITDA spans a low of $859 million in fiscal Q2 2025 and a high of $1.5 billion in fiscal Q1 2022.
- Year over year, EBITDA gained in two of the last eight quarters, with an average decline of 5.5%.
- The high point for year-over-year EBITDA in five years was fiscal Q4 2023 (growth of 29.1%); the low point was fiscal Q1 2023 (a decline of 36.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $876 million (Q2 2026), $973 million (Q1 2026) and $1.17 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 39.02 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 4.90 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 6.14 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 1.40 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 7.08 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 4.56 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 1.63 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 1.66 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 2.26 Bn |
| 10 | Hp | 27.78 Bn | 13.05 Bn | 2.95 Bn | 1.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.14 Bn |
| Apr 30, 2026 | 876.00 Mn |
| Jan 31, 2026 | 973.00 Mn |
| Oct 31, 2025 | 1.17 Bn |
| Jul 31, 2025 | 1.02 Bn |
| Apr 30, 2025 | 859.00 Mn |
| Jan 31, 2025 | 1.04 Bn |
| Oct 31, 2024 | 1.20 Bn |
| Jul 31, 2024 | 1.15 Bn |
| Apr 30, 2024 | 1.16 Bn |
| Jan 31, 2024 | 1.14 Bn |
| Oct 31, 2023 | 1.23 Bn |
| Jul 31, 2023 | 1.17 Bn |
| Apr 30, 2023 | 959.00 Mn |
| Jan 31, 2023 | 952.00 Mn |
| Oct 31, 2022 | 950.00 Mn |
| Jul 31, 2022 | 1.44 Bn |
| Apr 30, 2022 | 1.45 Bn |
| Jan 31, 2022 | 1.50 Bn |
| Oct 31, 2021 | 1.50 Bn |
API Access
Hp 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=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "HPQ", "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=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();