American Express (AXP) Retained Earnings (2010 - 2026)
American Express' Retained Earnings came in at $26.38 billion for Q2 2026, up 8.3% from $24.37 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
American Express (AXP) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, American Express' Retained Earnings was $25.49 billion, up 15.1% from FY2024.
- Retained Earnings has increased in each of the last four years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $22.15 billion in FY2024 (+12.9%), $19.61 billion in FY2023 (+20.5%), $16.28 billion in FY2022 (+20.8%) and $13.47 billion in FY2021 (-2.6%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for 16 consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q1 2023 (growth of 26.7%), and the weakest in Q1 2022 (a decline of 10.2%).
- Business Quant data shows AXP's Retained Earnings at $26.09 billion (Q1 2026), $25.49 billion (Q4 2025) and $24.47 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 237.23 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 26.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.38 Bn |
| Mar 31, 2026 | 26.09 Bn |
| Dec 31, 2025 | 25.49 Bn |
| Sep 30, 2025 | 24.47 Bn |
| Jun 30, 2025 | 24.37 Bn |
| Mar 31, 2025 | 23.39 Bn |
| Dec 31, 2024 | 22.15 Bn |
| Sep 30, 2024 | 21.47 Bn |
| Jun 30, 2024 | 21.27 Bn |
| Mar 31, 2024 | 20.42 Bn |
| Dec 31, 2023 | 19.61 Bn |
| Sep 30, 2023 | 18.95 Bn |
| Jun 30, 2023 | 18.13 Bn |
| Mar 31, 2023 | 17.43 Bn |
| Dec 31, 2022 | 16.28 Bn |
| Sep 30, 2022 | 15.69 Bn |
| Jun 30, 2022 | 14.75 Bn |
| Mar 31, 2022 | 13.75 Bn |
| Dec 31, 2021 | 13.47 Bn |
| Sep 30, 2021 | 14.83 Bn |
API Access
American Express Retained Earnings 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=retained-earnings&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();