American Express (AXP) Cash & Equivalents (2009 - 2026)
American Express (AXP) reported Cash & Equivalents of $43.2 billion for Q3 2026, down 21.0% from $54.71 billion a year earlier and down 4.5% from the prior quarter.
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Analysis
American Express (AXP) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, American Express posted Cash & Equivalents of $47.79 billion, up 17.6% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $40.64 billion in FY2024 (-12.8%), $46.6 billion in FY2023 (+37.4%), $33.91 billion in FY2022 (+54.0%) and $22.03 billion in FY2021 (-33.2%).
- The Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q4 2024.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with an average decline of 1.9%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2023 (growth of 63.5%); the low point was Q4 2021 (a decline of 33.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $45.24 billion (Q2 2026), $53.76 billion (Q1 2026) and $47.79 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 249.64 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 222.46 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 45.78 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 138.67 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 176.77 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 43.20 Bn |
| 10 | Toronto Dominion Bank | 211.21 Bn | -464.66 Bn | - | 4.86 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.20 Bn |
| Jun 30, 2026 | 45.24 Bn |
| Mar 31, 2026 | 53.76 Bn |
| Dec 31, 2025 | 47.79 Bn |
| Sep 30, 2025 | 54.71 Bn |
| Jun 30, 2025 | 57.94 Bn |
| Mar 31, 2025 | 52.51 Bn |
| Dec 31, 2024 | 40.64 Bn |
| Sep 30, 2024 | 47.92 Bn |
| Jun 30, 2024 | 52.90 Bn |
| Mar 31, 2024 | 54.21 Bn |
| Dec 31, 2023 | 46.60 Bn |
| Sep 30, 2023 | 43.91 Bn |
| Jun 30, 2023 | 42.96 Bn |
| Mar 31, 2023 | 40.84 Bn |
| Dec 31, 2022 | 33.91 Bn |
| Sep 30, 2022 | 31.18 Bn |
| Jun 30, 2022 | 26.28 Bn |
| Mar 31, 2022 | 27.68 Bn |
| Dec 31, 2021 | 22.03 Bn |
API Access
American Express Cash & Equivalents 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-and-equivalents&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();