American Express (AXP) Non Operating Interest Expenses (2009 - 2024)
American Express (AXP) recorded Non Operating Interest Expenses of $2.01 billion in Q1 2024, up 40.0% from $1.43 billion a year earlier and up 3.0% from the prior quarter.
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Analysis
American Express (AXP) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
On a TTM basis, American Express' Non Operating Interest Expenses came in at $7.42 billion as of Mar 31, 2024, up 91.5% year-over-year; for FY2023, it was $6.85 billion, up 147.9% from FY2022.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 18.4% (FY2018 to FY2023).
- Across earlier years, Non Operating Interest Expenses came in at $2.76 billion in FY2022 (+115.4%), $1.28 billion in FY2021 (-38.8%), $2.1 billion in FY2020 (-39.4%) and $3.46 billion in FY2019 (+17.7%).
- The Q1 2024 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- On a year-over-year basis, Non Operating Interest Expenses has increased for eight consecutive quarters, with growth averaging 170.4% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 346.4% in Q1 2023, against a decline of 51.3% in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.95 billion (Q4 2023), $1.8 billion (Q3 2023) and $1.67 billion (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 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 | - | - |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 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 | - | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 322.00 Mn |
| Mar 31, 2021 | 362.00 Mn |
| Dec 31, 2020 | 390.00 Mn |
| Sep 30, 2020 | 450.00 Mn |
| Jun 30, 2020 | 542.00 Mn |
| Mar 31, 2020 | 716.00 Mn |
| Dec 31, 2019 | 801.00 Mn |
| Sep 30, 2019 | 877.00 Mn |
| Jun 30, 2019 | 891.00 Mn |
API Access
American Express Non Operating 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=non-operating-interest-expenses&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();