American Express (AXP) Cash from Operations (2010 - 2026)
American Express (AXP) reported Cash from Operations of $5.37 billion for Q2 2026, up 23.1% from $4.36 billion a year earlier and up 41.2% from the prior quarter.
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Analysis
American Express (AXP) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American Express' Cash from Operations came in at $18.48 billion, up 41.1% year-over-year; for FY2025, it came in at $18.43 billion, up 31.2% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- By year, Cash from Operations came in at $14.05 billion in FY2024 (-24.3%), $18.56 billion in FY2023 (-12.0%), $21.08 billion in FY2022 (+43.9%) and $14.65 billion in FY2021 (+161.9%).
- Five-year quarterly Cash from Operations spans a low of -$1.81 billion in Q3 2024 and a high of $8.43 billion in Q4 2022.
- Year over year, Cash from Operations gained in 1 of the last six quarters, with an average decline of 12.8%.
- The high point for year-over-year Cash from Operations in five years was Q3 2021 (growth of 91.4%); the low point was Q4 2025 (a decline of 46.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.8 billion (Q1 2026), $3.07 billion (Q4 2025) and $6.23 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 6.78 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 5.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.37 Bn |
| Mar 31, 2026 | 3.80 Bn |
| Dec 31, 2025 | 3.07 Bn |
| Sep 30, 2025 | 6.23 Bn |
| Jun 30, 2025 | 4.36 Bn |
| Mar 31, 2025 | 4.76 Bn |
| Dec 31, 2024 | 5.78 Bn |
| Sep 30, 2024 | -1.81 Bn |
| Jun 30, 2024 | 4.53 Bn |
| Mar 31, 2024 | 5.55 Bn |
| Dec 31, 2023 | 6.77 Bn |
| Sep 30, 2023 | 8.24 Bn |
| Jun 30, 2023 | 3.92 Bn |
| Mar 31, 2023 | -377.00 Mn |
| Dec 31, 2022 | 8.43 Bn |
| Sep 30, 2022 | 4.51 Bn |
| Jun 30, 2022 | 4.26 Bn |
| Mar 31, 2022 | 3.88 Bn |
| Dec 31, 2021 | 5.01 Bn |
| Sep 30, 2021 | 4.17 Bn |
API Access
American Express Cash from 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=cash-from-operations&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-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=cash-from-operations&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();