American Express (AXP) EBIT (2009 - 2026)
American Express (AXP) posted EBIT of $6.45 billion for Q3 2026, up 8.3% from $5.96 billion a year earlier and up 7.0% from the prior quarter.
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Analysis
American Express (AXP) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBIT at American Express was $23.38 billion, up 7.9% year-over-year; for FY2025, it came in at $22.03 billion, up 4.2% from FY2024.
- Annual EBIT has increased for five consecutive years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- In prior years, American Express' EBIT was $21.15 billion in FY2024 (+21.8%), $17.36 billion in FY2023 (+40.6%), $12.35 billion in FY2022 (+3.1%) and $11.97 billion in FY2021 (+87.2%).
- The Q3 2026 figure stands as the highest quarterly EBIT in data going back to Q1 2009.
- On a year-over-year basis, EBIT has increased in each of the last five quarters, with growth averaging 6.2% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q3 2023, with growth of 50.5%; the weakest was Q1 2022, with a decline of 9.6%.
- According to Business Quant data, EBIT for the three prior quarters was $6.03 billion (Q2 2026), $5.75 billion (Q1 2026) and $5.15 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 908.67 Bn | 908.67 Bn | - | - |
| 2 | Bank Of America | 357.52 Bn | -2,018.54 Bn | - | 29.40 Bn |
| 3 | Hsbc Holdings | 297.55 Bn | -1,806.05 Bn | - | 8.97 Bn |
| 4 | Royal Bank Of Canada | 286.04 Bn | -544.00 Bn | - | 18.35 Bn |
| 5 | Morgan Stanley | 284.82 Bn | 284.82 Bn | - | - |
| 6 | Goldman Sachs | 265.52 Bn | 265.52 Bn | - | - |
| 7 | Wells Fargo & Company | 251.89 Bn | 251.89 Bn | - | 18.49 Bn |
| 8 | Mitsubishi Ufj Financial | 245.11 Bn | -96.28 Bn | 10.89 Bn | 5.11 Bn |
| 9 | Toronto Dominion Bank | 215.10 Bn | -460.78 Bn | - | 757.36 Mn |
| 10 | American Express | 214.55 Bn | 14.03 Bn | - | 6.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.45 Bn |
| Jun 30, 2026 | 6.03 Bn |
| Mar 31, 2026 | 5.75 Bn |
| Dec 31, 2025 | 5.15 Bn |
| Sep 30, 2025 | 5.96 Bn |
| Jun 30, 2025 | 5.63 Bn |
| Mar 31, 2025 | 5.30 Bn |
| Dec 31, 2024 | 4.80 Bn |
| Sep 30, 2024 | 5.35 Bn |
| Jun 30, 2024 | 5.85 Bn |
| Mar 31, 2024 | 5.15 Bn |
| Dec 31, 2023 | 4.46 Bn |
| Sep 30, 2023 | 4.90 Bn |
| Jun 30, 2023 | 4.40 Bn |
| Mar 31, 2023 | 3.60 Bn |
| Dec 31, 2022 | 3.08 Bn |
| Sep 30, 2022 | 3.26 Bn |
| Jun 30, 2022 | 2.98 Bn |
| Mar 31, 2022 | 3.03 Bn |
| Dec 31, 2021 | 2.60 Bn |
API Access
American Express EBIT 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=ebit&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();