American Express (AXP) Long-Term Debt (2009 - 2026)
American Express' Long-Term Debt came in at $58.54 billion for Q3 2026, up 1.3% from $57.79 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
American Express (AXP) Long-Term Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, American Express' Long-Term Debt was $56.39 billion, up 13.4% from FY2024.
- Long-Term Debt has increased in each of the last four years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Going back by year, Long-Term Debt was $49.72 billion in FY2024 (+3.9%), $47.87 billion in FY2023 (+12.4%), $42.57 billion in FY2022 (+10.1%) and $38.68 billion in FY2021 (-10.0%).
- The five-year range for quarterly Long-Term Debt is $38.34 billion (Q1 2022) to $58.75 billion (Q1 2026).
- Year-over-year, Long-Term Debt increased in seven of the last eight quarters, with growth averaging 7.1%.
- The fastest year-over-year change in Long-Term Debt over five years came in Q3 2022 (growth of 22.9%), and the weakest in Q4 2021 (a decline of 10.0%).
- Business Quant data shows AXP's Long-Term Debt at $57.02 billion (Q2 2026), $58.75 billion (Q1 2026) and $56.39 billion (Q4 2025) in the three quarters before Q3 2026.
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 |
|---|---|
| Sep 30, 2026 | 58.54 Bn |
| Jun 30, 2026 | 57.02 Bn |
| Mar 31, 2026 | 58.75 Bn |
| Dec 31, 2025 | 56.39 Bn |
| Sep 30, 2025 | 57.79 Bn |
| Jun 30, 2025 | 58.20 Bn |
| Mar 31, 2025 | 51.24 Bn |
| Dec 31, 2024 | 49.72 Bn |
| Sep 30, 2024 | 53.55 Bn |
| Jun 30, 2024 | 51.52 Bn |
| Mar 31, 2024 | 48.83 Bn |
| Dec 31, 2023 | 47.87 Bn |
| Sep 30, 2023 | 46.45 Bn |
| Jun 30, 2023 | 46.73 Bn |
| Mar 31, 2023 | 41.14 Bn |
| Dec 31, 2022 | 42.57 Bn |
| Sep 30, 2022 | 42.39 Bn |
| Jun 30, 2022 | 40.50 Bn |
| Mar 31, 2022 | 38.34 Bn |
| Dec 31, 2021 | 38.68 Bn |
API Access
American Express 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=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "ticker": "AXP", "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=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();