American Express (AXP) Net Income (2009 - 2026)
American Express (AXP) posted Net Income of $3.71 billion for Q3 2026, up 27.9% from $2.9 billion a year earlier and up 19.4% from the prior quarter.
American Express (AXP) Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Net Income at American Express was $12.26 billion, up 16.3% year-over-year; for FY2025, it was $10.83 billion, up 7.0% from FY2024.
- Annual Net Income has increased for three consecutive years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- In prior years, American Express' Net Income was $10.13 billion in FY2024 (+21.0%), $8.37 billion in FY2023 (+11.4%), $7.51 billion in FY2022 (-6.8%) and $8.06 billion in FY2021 (+157.1%).
- The Q3 2026 figure stands as the highest quarterly Net Income in data going back to Q1 2009.
- On a year-over-year basis, Net Income has increased in each of the last five quarters, with growth averaging 11.7% over the last eight quarters.
- The strongest year-over-year quarter for Net Income in the past five years was Q2 2024, with growth of 38.7%; the weakest was Q2 2022, with a decline of 13.9%.
- According to Business Quant data, Net Income for the three prior quarters was $3.11 billion (Q2 2026), $2.97 billion (Q1 2026) and $2.46 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 9.07 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 7.57 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 4.32 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 5.95 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 5.31 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 3.31 Bn |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 3.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.71 Bn |
| Jun 30, 2026 | 3.11 Bn |
| Mar 31, 2026 | 2.97 Bn |
| Dec 31, 2025 | 2.46 Bn |
| Sep 30, 2025 | 2.90 Bn |
| Jun 30, 2025 | 2.89 Bn |
| Mar 31, 2025 | 2.58 Bn |
| Dec 31, 2024 | 2.17 Bn |
| Sep 30, 2024 | 2.51 Bn |
| Jun 30, 2024 | 3.02 Bn |
| Mar 31, 2024 | 2.44 Bn |
| Dec 31, 2023 | 1.93 Bn |
| Sep 30, 2023 | 2.45 Bn |
| Jun 30, 2023 | 2.17 Bn |
| Mar 31, 2023 | 1.82 Bn |
| Dec 31, 2022 | 1.57 Bn |
| Sep 30, 2022 | 1.88 Bn |
| Jun 30, 2022 | 1.96 Bn |
| Mar 31, 2022 | 2.10 Bn |
| Dec 31, 2021 | 1.72 Bn |
American Express Net Income 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=net-income&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();