American Express (AXP) EPS (Diluted) (2009 - 2026)
American Express (AXP) posted EPS (Diluted) of $5.51 for Q3 2026, up 31.5% from $4.19 a year earlier and up 20.2% from the prior quarter.
American Express (AXP) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EPS (Diluted) at American Express was $18.18, up 19.5% year-over-year; for FY2025, it was $15.56, up 9.6% from FY2024.
- Annual EPS (Diluted) has increased for three consecutive years, with a five-year compound annual growth rate of 32.0% (FY2020 to FY2025).
- In prior years, American Express' EPS (Diluted) was $14.21 in FY2024 (+24.9%), $11.38 in FY2023 (+13.9%), $9.99 in FY2022 (-2.1%) and $10.20 in FY2021 (+162.3%).
- The Q3 2026 figure stands as the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last five quarters, with growth averaging 14.7% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q2 2024, with growth of 43.3%; the weakest was Q1 2023, with a decline of 11.9%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $4.58 (Q2 2026), $4.33 (Q1 2026) and $3.54 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | 5.68 |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1.20 |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 2.02 |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | 3.03 |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 3.06 |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | 16.80 |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1.87 |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 2.15 |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 1.88 |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 5.51 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.51 |
| Jun 30, 2026 | 4.58 |
| Mar 31, 2026 | 4.33 |
| Dec 31, 2025 | 3.54 |
| Sep 30, 2025 | 4.19 |
| Jun 30, 2025 | 4.13 |
| Mar 31, 2025 | 3.68 |
| Dec 31, 2024 | 3.04 |
| Sep 30, 2024 | 3.54 |
| Jun 30, 2024 | 4.21 |
| Mar 31, 2024 | 3.38 |
| Dec 31, 2023 | 2.63 |
| Sep 30, 2023 | 3.34 |
| Jun 30, 2023 | 2.93 |
| Mar 31, 2023 | 2.44 |
| Dec 31, 2022 | 2.09 |
| Sep 30, 2022 | 2.51 |
| Jun 30, 2022 | 2.61 |
| Mar 31, 2022 | 2.77 |
| Dec 31, 2021 | 2.18 |
American Express EPS (Diluted) 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=eps-diluted&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();