American Express (AXP) Total Non-Current Liabilities (2010 - 2026)
American Express (AXP) posted Total Non-Current Liabilities of $231.46 billion for Q2 2026, up 3.7% from $223.2 billion a year earlier but down 0.7% from the prior quarter.
American Express (AXP) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, American Express' Total Non-Current Liabilities came in at $224.95 billion, up 10.1% from FY2024.
- Annual Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In prior years, American Express' Total Non-Current Liabilities was $204.39 billion in FY2024 (+6.8%), $191.41 billion in FY2023 (+15.1%), $166.29 billion in FY2022 (+22.0%) and $136.33 billion in FY2021 (-3.2%).
- Quarterly Total Non-Current Liabilities has run from a low of $130.44 billion in Q3 2021 to a high of $233.03 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 18 quarters, with growth averaging 8.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2023, with growth of 23.6%; the weakest was Q3 2021, with a decline of 6.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $233.03 billion (Q1 2026), $224.95 billion (Q4 2025) and $223.82 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | 381.03 Bn |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | - |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 231.46 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.46 Bn |
| Mar 31, 2026 | 233.03 Bn |
| Dec 31, 2025 | 224.95 Bn |
| Sep 30, 2025 | 223.82 Bn |
| Jun 30, 2025 | 223.20 Bn |
| Mar 31, 2025 | 212.76 Bn |
| Dec 31, 2024 | 204.39 Bn |
| Sep 30, 2024 | 203.60 Bn |
| Jun 30, 2024 | 200.05 Bn |
| Mar 31, 2024 | 198.40 Bn |
| Dec 31, 2023 | 191.41 Bn |
| Sep 30, 2023 | 185.70 Bn |
| Jun 30, 2023 | 183.42 Bn |
| Mar 31, 2023 | 176.35 Bn |
| Dec 31, 2022 | 166.29 Bn |
| Sep 30, 2022 | 158.48 Bn |
| Jun 30, 2022 | 149.96 Bn |
| Mar 31, 2022 | 142.71 Bn |
| Dec 31, 2021 | 136.33 Bn |
| Sep 30, 2021 | 130.44 Bn |
American Express Total 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=total-non-current-liabilities&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();