American Express (AXP) Payables (2010 - 2026)
American Express (AXP) posted Payables of $17.47 billion for Q2 2026, up 11.9% from $15.61 billion a year earlier and up 7.0% from the prior quarter.
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Analysis
American Express (AXP) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, American Express' Payables came in at $16.07 billion, up 5.3% from FY2024.
- Annual Payables has increased for five consecutive years, with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In prior years, American Express' Payables was $15.26 billion in FY2024 (+5.9%), $14.4 billion in FY2023 (+6.8%), $13.48 billion in FY2022 (+5.2%) and $12.82 billion in FY2021 (+13.2%).
- The Q2 2026 figure stands as the highest quarterly Payables since Q4 2019.
- On a year-over-year basis, Payables has increased in each of the last five quarters, with growth averaging 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q1 2022, with growth of 31.0%; the weakest was Q3 2024, with a decline of 1.3%.
- According to Business Quant data, Payables for the three prior quarters was $16.33 billion (Q1 2026), $16.07 billion (Q4 2025) and $16.15 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 456.72 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 3,434.24 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 59.98 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | 11.02 Bn |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | - |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 7.97 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 249.24 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 89.91 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 107.90 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 17.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.47 Bn |
| Mar 31, 2026 | 16.33 Bn |
| Dec 31, 2025 | 16.07 Bn |
| Sep 30, 2025 | 16.15 Bn |
| Jun 30, 2025 | 15.61 Bn |
| Mar 31, 2025 | 15.12 Bn |
| Dec 31, 2024 | 15.26 Bn |
| Sep 30, 2024 | 14.62 Bn |
| Jun 30, 2024 | 14.78 Bn |
| Mar 31, 2024 | 15.15 Bn |
| Dec 31, 2023 | 14.40 Bn |
| Sep 30, 2023 | 14.81 Bn |
| Jun 30, 2023 | 13.94 Bn |
| Mar 31, 2023 | 14.25 Bn |
| Dec 31, 2022 | 13.48 Bn |
| Sep 30, 2022 | 12.54 Bn |
| Jun 30, 2022 | 13.36 Bn |
| Mar 31, 2022 | 13.32 Bn |
| Dec 31, 2021 | 12.82 Bn |
| Sep 30, 2021 | 11.89 Bn |
API Access
American Express Payables 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=payables&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();