American Express (AXP) Other Non-Current Liabilities (2010 - 2026)
American Express (AXP) posted Other Non-Current Liabilities of $42.46 billion for Q2 2026, up 6.0% from $40.04 billion a year earlier and up 1.4% from the prior quarter.
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Analysis
American Express (AXP) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, American Express' Other Non-Current Liabilities came in at $41.63 billion, up 13.1% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, American Express' Other Non-Current Liabilities was $36.81 billion in FY2024 (-11.6%), $41.64 billion in FY2023 (+11.5%), $37.35 billion in FY2022 (+22.5%) and $30.5 billion in FY2021 (+12.0%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities since Q2 2024.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2024, with growth of 25.1%; the weakest was Q4 2024, with a decline of 11.6%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $41.87 billion (Q1 2026), $41.63 billion (Q4 2025) and $41.31 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 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 | - |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 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 |
|---|---|
| Jun 30, 2026 | 42.46 Bn |
| Mar 31, 2026 | 41.87 Bn |
| Dec 31, 2025 | 41.63 Bn |
| Sep 30, 2025 | 41.31 Bn |
| Jun 30, 2025 | 40.04 Bn |
| Mar 31, 2025 | 38.29 Bn |
| Dec 31, 2024 | 36.81 Bn |
| Sep 30, 2024 | 37.67 Bn |
| Jun 30, 2024 | 42.63 Bn |
| Mar 31, 2024 | 42.10 Bn |
| Dec 31, 2023 | 41.64 Bn |
| Sep 30, 2023 | 37.57 Bn |
| Jun 30, 2023 | 34.78 Bn |
| Mar 31, 2023 | 33.66 Bn |
| Dec 31, 2022 | 37.35 Bn |
| Sep 30, 2022 | 32.58 Bn |
| Jun 30, 2022 | 31.80 Bn |
| Mar 31, 2022 | 30.91 Bn |
| Dec 31, 2021 | 30.50 Bn |
| Sep 30, 2021 | 29.13 Bn |
API Access
American Express Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();