American Express (AXP) Cash & Equivalents (2009 - 2026)
American Express (AXP) reported Cash & Equivalents of $45.24 billion for Q2 2026, down 21.9% from $57.94 billion a year earlier and down 15.8% from the prior quarter.
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 Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q4 2024.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with growth averaging 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 Q2 2026 came in at $53.76 billion (Q1 2026), $47.79 billion (Q4 2025) and $54.71 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | - |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 1,975.64 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 45.24 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 27.92 Bn |
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_KEY
import 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();