Hp (HPQ) Total Liabilities (2009 - 2026)
Hp's Total Liabilities was $45.79 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 12.4% from $40.76 billion a year earlier and up 6.3% from the prior quarter.
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Analysis
Hp (HPQ) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Total Liabilities at Hp came in at $42.12 billion, up 2.1% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $41.23 billion in FY2024 (+8.3%), $38.07 billion in FY2023 (-8.3%), $41.52 billion in FY2022 (+3.2%) and $40.25 billion in FY2021 (+8.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Liabilities since fiscal Q4 2015.
- Compared with a year earlier, Total Liabilities has increased for nine straight quarters, with growth averaging 6.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2026 (growth of 12.4%); the worst was fiscal Q4 2023 (a decline of 8.3%).
- Per Business Quant data, HPQ's Total Liabilities in the three fiscal quarters before Q3 2026 was $43.08 billion (Q2 2026), $42.3 billion (Q1 2026) and $42.12 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 44.91 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 7.81 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Hp | 27.78 Bn | 13.05 Bn | 2.95 Bn | 45.79 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 45.79 Bn |
| Apr 30, 2026 | 43.08 Bn |
| Jan 31, 2026 | 42.30 Bn |
| Oct 31, 2025 | 42.12 Bn |
| Jul 31, 2025 | 40.76 Bn |
| Apr 30, 2025 | 40.08 Bn |
| Jan 31, 2025 | 40.00 Bn |
| Oct 31, 2024 | 41.23 Bn |
| Jul 31, 2024 | 39.45 Bn |
| Apr 30, 2024 | 38.35 Bn |
| Jan 31, 2024 | 37.49 Bn |
| Oct 31, 2023 | 38.07 Bn |
| Jul 31, 2023 | 38.88 Bn |
| Apr 30, 2023 | 38.96 Bn |
| Jan 31, 2023 | 39.98 Bn |
| Oct 31, 2022 | 41.52 Bn |
| Jul 31, 2022 | 41.62 Bn |
| Apr 30, 2022 | 41.86 Bn |
| Jan 31, 2022 | 41.24 Bn |
| Oct 31, 2021 | 40.25 Bn |
API Access
Hp Total Liabilities 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=total-liabilities&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();