American Express (AXP) Total Liabilities (2010 - 2026)
American Express (AXP) posted Total Liabilities of $273.92 billion for Q2 2026, up 4.1% from $263.25 billion a year earlier but down 0.4% from the prior quarter.
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Analysis
American Express (AXP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, American Express' Total Liabilities came in at $266.58 billion, up 10.5% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In prior years, American Express' Total Liabilities was $241.2 billion in FY2024 (+3.5%), $233.05 billion in FY2023 (+14.4%), $203.64 billion in FY2022 (+22.1%) and $166.82 billion in FY2021 (-0.7%).
- Quarterly Total Liabilities has run from a low of $159.57 billion in Q3 2021 to a high of $274.9 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 18 quarters, with growth averaging 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 22.1%; the weakest was Q3 2021, with a decline of 3.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $274.9 billion (Q1 2026), $266.58 billion (Q4 2025) and $265.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 2,099.88 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 273.92 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273.92 Bn |
| Mar 31, 2026 | 274.90 Bn |
| Dec 31, 2025 | 266.58 Bn |
| Sep 30, 2025 | 265.13 Bn |
| Jun 30, 2025 | 263.25 Bn |
| Mar 31, 2025 | 251.04 Bn |
| Dec 31, 2024 | 241.20 Bn |
| Sep 30, 2024 | 241.27 Bn |
| Jun 30, 2024 | 242.68 Bn |
| Mar 31, 2024 | 240.50 Bn |
| Dec 31, 2023 | 233.05 Bn |
| Sep 30, 2023 | 223.26 Bn |
| Jun 30, 2023 | 218.20 Bn |
| Mar 31, 2023 | 210.01 Bn |
| Dec 31, 2022 | 203.64 Bn |
| Sep 30, 2022 | 191.06 Bn |
| Jun 30, 2022 | 181.77 Bn |
| Mar 31, 2022 | 173.62 Bn |
| Dec 31, 2021 | 166.82 Bn |
| Sep 30, 2021 | 159.57 Bn |
API Access
American Express Total 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-liabilities&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();