Hp (HPQ) Long-Term Debt Repayments (2009 - 2026)
Hp's Long-Term Debt Repayments was $602 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 50.2% from $1.21 billion a year earlier but up 643.2% from the prior quarter.
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Analysis
Hp (HPQ) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hp's Long-Term Debt Repayments was $845 million through Jul 31, 2026, down 38.4% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.39 billion, up 551.2% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $213 million in FY2024 (-87.5%), $1.7 billion in FY2023 (+145.3%), $693 million in FY2022 (-44.3%) and $1.25 billion in FY2021 (-32.7%).
- Quarterly Long-Term Debt Repayments has moved between $45 million (fiscal Q3 2022) and $1.21 billion (fiscal Q3 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in five of the last seven quarters, with growth averaging 19.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2023 (growth of 978.0%); the worst was fiscal Q3 2022 (a decline of 95.8%).
- Per Business Quant data, HPQ's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $81 million (Q2 2026), $87 million (Q1 2026) and $75 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 1.02 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 | -67.19 Mn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 300.00 Mn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 1.32 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Hp | 27.78 Bn | 13.05 Bn | 2.95 Bn | 602.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 602.00 Mn |
| Apr 30, 2026 | 81.00 Mn |
| Jan 31, 2026 | 87.00 Mn |
| Oct 31, 2025 | 75.00 Mn |
| Jul 31, 2025 | 1.21 Bn |
| Apr 30, 2025 | 52.00 Mn |
| Jan 31, 2025 | 50.00 Mn |
| Oct 31, 2024 | 60.00 Mn |
| Jul 31, 2024 | 51.00 Mn |
| Apr 30, 2024 | 53.00 Mn |
| Jan 31, 2024 | 49.00 Mn |
| Oct 31, 2023 | 46.00 Mn |
| Jul 31, 2023 | 1.07 Bn |
| Apr 30, 2023 | 48.00 Mn |
| Jan 31, 2023 | 539.00 Mn |
| Oct 31, 2022 | 552.00 Mn |
| Jul 31, 2022 | 45.00 Mn |
| Apr 30, 2022 | 46.00 Mn |
| Jan 31, 2022 | 50.00 Mn |
| Oct 31, 2021 | 53.00 Mn |
API Access
Hp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();