Hp (HPQ) Operating Expenses (2009 - 2026)
Hp's Operating Expenses was $2.05 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 3.8% from $2.14 billion a year earlier and down 14.6% from the prior quarter.
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Analysis
Hp (HPQ) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hp's Operating Expenses was $8.54 billion through Jul 31, 2026, up 3.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $8.22 billion, up 2.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -31.2% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $8 billion in FY2024 (-0.6%), $8.05 billion in FY2023 (+4.5%), $7.7 billion in FY2022 (-86.7%) and $58.1 billion in FY2021 (+9.2%).
- Quarterly Operating Expenses has moved between -$36.61 billion (fiscal Q4 2022) and $15.71 billion (fiscal Q1 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 3.6%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2026 (growth of 15.3%); the worst was fiscal Q1 2023 (a decline of 87.0%).
- Per Business Quant data, HPQ's Operating Expenses in the three fiscal quarters before Q3 2026 was $2.4 billion (Q2 2026), $2.08 billion (Q1 2026) and $2 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Hp | 27.78 Bn | 13.05 Bn | 2.95 Bn | 2.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.05 Bn |
| Apr 30, 2026 | 2.40 Bn |
| Jan 31, 2026 | 2.08 Bn |
| Oct 31, 2025 | 2.00 Bn |
| Jul 31, 2025 | 2.14 Bn |
| Apr 30, 2025 | 2.09 Bn |
| Jan 31, 2025 | 2.00 Bn |
| Oct 31, 2024 | 2.01 Bn |
| Jul 31, 2024 | 1.97 Bn |
| Apr 30, 2024 | 2.07 Bn |
| Jan 31, 2024 | 1.95 Bn |
| Oct 31, 2023 | 1.97 Bn |
| Jul 31, 2023 | 1.87 Bn |
| Apr 30, 2023 | 2.17 Bn |
| Jan 31, 2023 | 2.04 Bn |
| Oct 31, 2022 | -36.61 Bn |
| Jul 31, 2022 | 13.39 Bn |
| Apr 30, 2022 | 15.22 Bn |
| Jan 31, 2022 | 15.71 Bn |
| Oct 31, 2021 | 15.35 Bn |
API Access
Hp 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=operating-expenses&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();