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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 5.57 |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 0.90 |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 2.02 |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 3.06 |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 3.03 |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 17.01 |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.87 |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 2.15 |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 5.51 |
| 10 | Toronto Dominion Bank | 211.21 Bn | -464.66 Bn | - | 1.88 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();