American Express (AXP) Interest Expense - Debt (2009 - 2026)
American Express (AXP) reported Interest Expense - Debt of $682 million for Q2 2026, down 3.0% from $703 million a year earlier and down 0.6% from the prior quarter.
American Express (AXP) Interest Expense - Debt (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American Express' Interest Expense - Debt came in at $2.85 billion, up 6.5% year-over-year; for FY2025, it came in at $2.81 billion, up 9.9% from FY2024.
- Interest Expense - Debt has increased for four consecutive years, with a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- By year, Interest Expense - Debt came in at $2.56 billion in FY2024 (+28.9%), $1.98 billion in FY2023 (+60.5%), $1.24 billion in FY2022 (+49.8%) and $825 million in FY2021 (-28.6%).
- The Q2 2026 figure ranks as the lowest quarterly Interest Expense - Debt since Q1 2025.
- Year over year, Interest Expense - Debt gained in seven of the last eight quarters, with growth averaging 12.1%.
- The high point for year-over-year Interest Expense - Debt in five years was Q4 2022 (growth of 125.8%); the low point was Q3 2021 (a decline of 20.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $686 million (Q1 2026), $717 million (Q4 2025) and $760 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense - Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 4.47 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 3.10 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 3.41 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 1.26 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 39.83 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 2.62 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 2.39 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 682.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 682.00 Mn |
| Mar 31, 2026 | 686.00 Mn |
| Dec 31, 2025 | 717.00 Mn |
| Sep 30, 2025 | 760.00 Mn |
| Jun 30, 2025 | 703.00 Mn |
| Mar 31, 2025 | 629.00 Mn |
| Dec 31, 2024 | 642.00 Mn |
| Sep 30, 2024 | 697.00 Mn |
| Jun 30, 2024 | 639.00 Mn |
| Mar 31, 2024 | 579.00 Mn |
| Dec 31, 2023 | 563.00 Mn |
| Sep 30, 2023 | 508.00 Mn |
| Jun 30, 2023 | 474.00 Mn |
| Mar 31, 2023 | 439.00 Mn |
| Dec 31, 2022 | 429.00 Mn |
| Sep 30, 2022 | 356.00 Mn |
| Jun 30, 2022 | 252.00 Mn |
| Mar 31, 2022 | 199.00 Mn |
| Dec 31, 2021 | 190.00 Mn |
| Sep 30, 2021 | 198.00 Mn |
American Express Interest Expense - 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=interest-expense-debt&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-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=interest-expense-debt&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();