American Express (AXP) Loans - Net (2010 - 2026)
American Express (AXP) posted Loans - Net of $227.18 billion for Q3 2026, up 8.2% from $210 billion a year earlier and up 1.7% from the prior quarter.
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Analysis
American Express (AXP) Loans - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, American Express' Loans - Net came in at $218.38 billion, up 8.0% from FY2024.
- Annual Loans - Net has increased for ten consecutive years, with a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In prior years, American Express' Loans - Net was $202.27 billion in FY2024 (+7.5%), $188.07 billion in FY2023 (+12.6%), $166.96 billion in FY2022 (+17.8%) and $141.7 billion in FY2021 (+24.2%).
- The Q3 2026 figure stands as the highest quarterly Loans - Net in data going back to Q4 2010.
- On a year-over-year basis, Loans - Net has increased in each of the last 24 quarters, with growth averaging 7.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Loans - Net ranged from 6.6% (Q2 2025) to 29.8% (Q1 2022).
- According to Business Quant data, Loans - Net for the three prior quarters was $223.3 billion (Q2 2026), $217.78 billion (Q1 2026) and $218.38 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | 1,558.37 Bn |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1,204.51 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 1,029.86 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 791.32 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | 276.00 Bn |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1,034.29 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 707.32 Bn |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 227.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 227.18 Bn |
| Jun 30, 2026 | 223.30 Bn |
| Mar 31, 2026 | 217.78 Bn |
| Dec 31, 2025 | 218.38 Bn |
| Sep 30, 2025 | 210.00 Bn |
| Jun 30, 2025 | 205.74 Bn |
| Mar 31, 2025 | 201.40 Bn |
| Dec 31, 2024 | 202.27 Bn |
| Sep 30, 2024 | 196.15 Bn |
| Jun 30, 2024 | 193.03 Bn |
| Mar 31, 2024 | 188.44 Bn |
| Dec 31, 2023 | 188.07 Bn |
| Sep 30, 2023 | 178.39 Bn |
| Jun 30, 2023 | 174.46 Bn |
| Mar 31, 2023 | 168.09 Bn |
| Dec 31, 2022 | 166.96 Bn |
| Sep 30, 2022 | 155.63 Bn |
| Jun 30, 2022 | 152.32 Bn |
| Mar 31, 2022 | 142.20 Bn |
| Dec 31, 2021 | 141.70 Bn |
API Access
American Express Loans - Net 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=loans-net&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();