American Express (AXP) Long-Term Debt Repayments (2010 - 2026)
American Express (AXP) posted Long-Term Debt Repayments of $3.95 billion for Q2 2026, down 9.5% from $4.36 billion a year earlier but up 159.0% from the prior quarter.
American Express (AXP) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at American Express was $15.73 billion, up 8.5% year-over-year; for FY2025, it came in at $18.16 billion, up 68.8% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, American Express' Long-Term Debt Repayments was $10.76 billion in FY2024 (+0.5%), $10.7 billion in FY2023 (-43.4%), $18.91 billion in FY2022 (+62.1%) and $11.66 billion in FY2021 (-25.2%).
- Quarterly Long-Term Debt Repayments has run from a low of $853 million in Q2 2023 to a high of $7 billion in Q3 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined in each of the last three quarters, with growth averaging 47.2% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q1 2022, with growth of 741.9%; the weakest was Q2 2023, with a decline of 86.3%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.52 billion (Q1 2026), $3.26 billion (Q4 2025) and $7 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 12.00 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 3.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.95 Bn |
| Mar 31, 2026 | 1.52 Bn |
| Dec 31, 2025 | 3.26 Bn |
| Sep 30, 2025 | 7.00 Bn |
| Jun 30, 2025 | 4.36 Bn |
| Mar 31, 2025 | 3.53 Bn |
| Dec 31, 2024 | 3.40 Bn |
| Sep 30, 2024 | 3.21 Bn |
| Jun 30, 2024 | 2.90 Bn |
| Mar 31, 2024 | 1.25 Bn |
| Dec 31, 2023 | 1.43 Bn |
| Sep 30, 2023 | 5.41 Bn |
| Jun 30, 2023 | 853.00 Mn |
| Mar 31, 2023 | 3.00 Bn |
| Dec 31, 2022 | 2.36 Bn |
| Sep 30, 2022 | 4.02 Bn |
| Jun 30, 2022 | 6.22 Bn |
| Mar 31, 2022 | 6.31 Bn |
| Dec 31, 2021 | 3.42 Bn |
| Sep 30, 2021 | 2.84 Bn |
American Express 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=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();