American Express (AXP) Interest Expenses (2009 - 2026)
American Express (AXP) posted Interest Expenses of $1.96 billion for Q2 2026, down 5.7% from $2.08 billion a year earlier and down 0.8% from the prior quarter.
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Analysis
American Express (AXP) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at American Express was $8.12 billion, down 1.3% year-over-year; for FY2025, it came in at $8.23 billion, down 0.2% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 31.5% (FY2020 to FY2025).
- In prior years, American Express' Interest Expenses was $8.25 billion in FY2024 (+20.5%), $6.85 billion in FY2023 (+147.9%), $2.76 billion in FY2022 (+115.4%) and $1.28 billion in FY2021 (-38.8%).
- The Q2 2026 figure stands as the lowest quarterly Interest Expenses since Q4 2023.
- On a year-over-year basis, Interest Expenses increased in five of the last eight quarters, with growth averaging 2.2%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q1 2023, with growth of 346.4%; the weakest was Q3 2021, with a decline of 31.8%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $1.97 billion (Q1 2026), $2.06 billion (Q4 2025) and $2.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 10.97 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 1.96 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.96 Bn |
| Mar 31, 2026 | 1.97 Bn |
| Dec 31, 2025 | 2.06 Bn |
| Sep 30, 2025 | 2.13 Bn |
| Jun 30, 2025 | 2.08 Bn |
| Mar 31, 2025 | 1.97 Bn |
| Dec 31, 2024 | 2.04 Bn |
| Sep 30, 2024 | 2.14 Bn |
| Jun 30, 2024 | 2.06 Bn |
| Mar 31, 2024 | 2.01 Bn |
| Dec 31, 2023 | 1.95 Bn |
| Sep 30, 2023 | 1.80 Bn |
| Jun 30, 2023 | 1.67 Bn |
| Mar 31, 2023 | 1.43 Bn |
| Dec 31, 2022 | 1.21 Bn |
| Sep 30, 2022 | 796.00 Mn |
| Jun 30, 2022 | 439.00 Mn |
| Mar 31, 2022 | 321.00 Mn |
| Dec 31, 2021 | 292.00 Mn |
| Sep 30, 2021 | 307.00 Mn |
API Access
American Express Interest Expenses 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-expenses&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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-expenses&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();