Hp (HPQ) Amortization - Intangibles (2009 - 2026)
Hp (HPQ) posted Amortization - Intangibles of $75 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 52.8% from $159 million a year earlier and down 15.7% from the prior quarter.
Hp (HPQ) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Amortization - Intangibles at Hp was $278 million, down 23.4% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $345 million, up 8.5% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In prior fiscal years, Hp's Amortization - Intangibles was $318 million in FY2024 (-9.1%), $350 million in FY2023 (+53.5%), $228 million in FY2022 (+48.1%) and $154 million in FY2021 (+36.3%).
- Quarterly Amortization - Intangibles has run from a low of $50 million in fiscal Q3 2022 to a high of $159 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Amortization - Intangibles increased in two of the last eight quarters, with an average decline of 1.1%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was fiscal Q3 2025, with growth of 96.3%; the weakest was fiscal Q3 2026, with a decline of 52.8%.
- According to Business Quant data, Amortization - Intangibles for the three prior fiscal quarters was $89 million (Q2 2026), $56 million (Q1 2026) and $58 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 | 75.00 Mn |
| Apr 30, 2026 | 89.00 Mn |
| Jan 31, 2026 | 56.00 Mn |
| Oct 31, 2025 | 58.00 Mn |
| Jul 31, 2025 | 159.00 Mn |
| Apr 30, 2025 | 65.00 Mn |
| Jan 31, 2025 | 63.00 Mn |
| Oct 31, 2024 | 76.00 Mn |
| Jul 31, 2024 | 81.00 Mn |
| Apr 30, 2024 | 80.00 Mn |
| Jan 31, 2024 | 81.00 Mn |
| Oct 31, 2023 | 88.00 Mn |
| Jul 31, 2023 | 91.00 Mn |
| Apr 30, 2023 | 86.00 Mn |
| Jan 31, 2023 | 85.00 Mn |
| Oct 31, 2022 | 74.00 Mn |
| Jul 31, 2022 | 50.00 Mn |
| Apr 30, 2022 | 52.00 Mn |
| Jan 31, 2022 | 52.00 Mn |
| Oct 31, 2021 | 51.00 Mn |
Hp Amortization - Intangibles 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=amortization-intangibles&ticker=HPQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();