American Express (AXP) Income from Continuing Operations (2009 - 2026)
American Express (AXP) reported Income from Continuing Operations 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.
American Express (AXP) Income from Continuing Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American Express' Income from Continuing Operations came in at $11.45 billion, up 12.8% year-over-year; for FY2025, it came in at $10.83 billion, up 7.0% from FY2024.
- Income from Continuing Operations has increased for three consecutive years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- By year, Income from Continuing Operations came in at $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 ranks as the highest quarterly Income from Continuing Operations in data going back to Q1 2009.
- Year over year, Income from Continuing Operations has now increased in each of the last four quarters, with growth averaging 8.5% over the last eight quarters.
- The high point for year-over-year Income from Continuing Operations in five years was Q3 2021 (growth of 70.2%); the low point was Q2 2022 (a decline of 13.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.97 billion (Q1 2026), $2.46 billion (Q4 2025) and $2.9 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (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 | - | 6.65 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 3.11 Bn |
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 |
American Express Income from Continuing Operations 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=income-from-continuing-operations&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();