Hsbc Holdings (HSBC) Long-Term Debt (2009 - 2025)
Hsbc Holdings' Non-Current Debt was $17.18 billion in Q4 2023, down 5.0% from $18.08 billion a year earlier.
Analysis
Hsbc Holdings (HSBC) Long-Term Debt (2009 - 2025) Analysis & Trends
From Q1 2010 onward, Hsbc Holdings has reported Non-Current Debt for 12 quarters.
- Non-Current Debt shows a five-year compound annual growth rate of -2.5% (FY2018 to FY2023).
- In earlier years, Non-Current Debt was $18.08 billion in FY2022 (-6.7%) and $19.38 billion in FY2021.
- The Q4 2023 figure marks the lowest quarterly Non-Current Debt since Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 460.16 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 3,598.37 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 318.69 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 298.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 182.85 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 58.54 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.03 Bn |
| Dec 31, 2024 | 2.02 Bn |
| Dec 31, 2023 | 2.02 Bn |
| Dec 31, 2022 | 2.02 Bn |
| Jun 30, 2012 | 21.28 Bn |
| Dec 31, 2011 | 20.92 Bn |
| Sep 30, 2011 | 170.56 Bn |
| Jun 30, 2011 | 19.75 Bn |
| Mar 31, 2011 | 163.57 Bn |
| Dec 31, 2010 | 152.89 Bn |
| Sep 30, 2010 | 69.27 Bn |
| Dec 31, 2009 | 82.21 Bn |
| Sep 30, 2009 | 145.24 Bn |
| Jun 30, 2009 | 89.15 Bn |
| Mar 31, 2009 | 150.33 Bn |
API Access
Hsbc Holdings Long-Term Debt 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&ticker=HSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "ticker": "HSBC", "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&ticker=HSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();