American Express (AXP) Net Income (2009 - 2026)
American Express (AXP) posted Net Income of $3.11 billion for Q2 2026, up 7.8% from $2.89 billion a year earlier and up 4.7% from the prior quarter.
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Analysis
American Express (AXP) Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at American Express was $11.45 billion, up 12.8% 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 Q2 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 four quarters, with growth averaging 8.5% over the last eight quarters.
- The strongest year-over-year quarter for Net Income in the past five years was Q3 2021, with growth of 70.2%; the weakest was Q2 2022, with a decline of 13.9%.
- According to Business Quant data, Net Income for the three prior quarters was $2.97 billion (Q1 2026), $2.46 billion (Q4 2025) and $2.9 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 5.31 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 6.41 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 3.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.83 Bn |
API Access
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_KEYimport 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();