Hp (HPQ) Other Operating Expenses (2009 - 2026)
Hp (HPQ) posted Other Operating Expenses of $79 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 52.7% from $167 million a year earlier and down 15.1% from the prior quarter.
Hp (HPQ) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at Hp was $298 million, down 26.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $390 million, down 2.7% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -61.5% (FY2020 to FY2025).
- In prior fiscal years, Hp's Other Operating Expenses was $401 million in FY2024 (-32.0%), $590 million in FY2023 (+25.8%), $469 million in FY2022 (-99.1%) and $50.28 billion in FY2021 (+8.5%).
- Quarterly Other Operating Expenses has run from a low of -$38.36 billion in fiscal Q4 2022 to a high of $13.69 billion in fiscal Q1 2022 over five years.
- On a year-over-year basis, Other Operating Expenses increased in two of the last eight quarters, with an average decline of 12.7%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q3 2025, with growth of 62.1%; the weakest was fiscal Q3 2023, with a decline of 98.8%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $93 million (Q2 2026), $54 million (Q1 2026) and $72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn |
| 10 | Hp | 27.78 Bn | 13.05 Bn | 2.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 79.00 Mn |
| Apr 30, 2026 | 93.00 Mn |
| Jan 31, 2026 | 54.00 Mn |
| Oct 31, 2025 | 72.00 Mn |
| Jul 31, 2025 | 167.00 Mn |
| Apr 30, 2025 | 82.00 Mn |
| Jan 31, 2025 | 69.00 Mn |
| Oct 31, 2024 | 88.00 Mn |
| Jul 31, 2024 | 103.00 Mn |
| Apr 30, 2024 | 102.00 Mn |
| Jan 31, 2024 | 108.00 Mn |
| Oct 31, 2023 | 123.00 Mn |
| Jul 31, 2023 | 139.00 Mn |
| Apr 30, 2023 | 160.00 Mn |
| Jan 31, 2023 | 169.00 Mn |
| Oct 31, 2022 | -38.36 Bn |
| Jul 31, 2022 | 11.85 Bn |
| Apr 30, 2022 | 13.26 Bn |
| Jan 31, 2022 | 13.69 Bn |
| Oct 31, 2021 | 13.47 Bn |
Hp Other 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=other-operating-expenses&ticker=HPQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();