American Express (AXP) Change in Net Loans (2010 - 2026)
American Express' Change in Net Loans was $2.9 billion in Q3 2026, down 49.5% from $5.73 billion a year earlier and down 55.4% from the prior quarter.
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Analysis
American Express (AXP) Change in Net Loans (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Express' Change in Net Loans was $18.24 billion through Sep 30, 2026, down 15.3% year-over-year; for FY2025, it came in at $19.57 billion, down 15.8% from FY2024.
- Change in Net Loans has now declined for three consecutive years.
- In earlier years, Change in Net Loans was $23.26 billion in FY2024 (-7.4%), $25.12 billion in FY2023 (-15.0%), $29.56 billion in FY2022 (+7.3%) and $27.56 billion in FY2021.
- Quarterly Change in Net Loans has moved between -$835 million (Q1 2025) and $17.77 billion (Q4 2021) over five years.
- Compared with a year earlier, Change in Net Loans was higher in three of the last six quarters, with growth averaging 9.0%.
- The best year-over-year quarter for Change in Net Loans over five years was Q4 2021 (growth of 231.7%); the worst was Q3 2024 (a decline of 55.3%).
- Per Business Quant data, AXP's Change in Net Loans in the three quarters before Q3 2026 was $6.5 billion (Q2 2026), -$512 million (Q1 2026) and $9.36 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 941.10 Bn | 941.10 Bn | - | 56.27 Bn |
| 2 | Bank Of America | 368.14 Bn | -2,007.97 Bn | - | - |
| 3 | Hsbc Holdings | 311.49 Bn | -1,792.10 Bn | - | - |
| 4 | Morgan Stanley | 300.45 Bn | -208.64 Bn | - | 12.69 Bn |
| 5 | Royal Bank Of Canada | 295.40 Bn | -534.64 Bn | - | - |
| 6 | Goldman Sachs | 274.53 Bn | -3,468.92 Bn | - | 14.56 Bn |
| 7 | Wells Fargo & Company | 263.46 Bn | 263.46 Bn | - | 20.45 Bn |
| 8 | Mitsubishi Ufj Financial | 250.56 Bn | -90.83 Bn | 10.89 Bn | - |
| 9 | American Express | 223.87 Bn | 23.35 Bn | - | 2.90 Bn |
| 10 | Toronto Dominion Bank | 220.97 Bn | -454.91 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.90 Bn |
| Jun 30, 2026 | 6.50 Bn |
| Mar 31, 2026 | -512.00 Mn |
| Dec 31, 2025 | 9.36 Bn |
| Sep 30, 2025 | 5.73 Bn |
| Jun 30, 2025 | 5.32 Bn |
| Mar 31, 2025 | -835.00 Mn |
| Dec 31, 2024 | 11.31 Bn |
| Sep 30, 2024 | 2.88 Bn |
| Jun 30, 2024 | 6.44 Bn |
| Mar 31, 2024 | 2.63 Bn |
| Dec 31, 2023 | 9.66 Bn |
| Sep 30, 2023 | 6.45 Bn |
| Jun 30, 2023 | 7.41 Bn |
| Mar 31, 2023 | 1.60 Bn |
| Dec 31, 2022 | 10.13 Bn |
| Sep 30, 2022 | 6.52 Bn |
| Jun 30, 2022 | 12.13 Bn |
| Mar 31, 2022 | 785.00 Mn |
| Dec 31, 2021 | 17.77 Bn |
API Access
American Express Change in Net Loans 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=change-in-net-loans&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();