American Express (AXP) Cash Due from Bank (2009 - 2026)
American Express' Cash Due from Bank came in at $3.45 billion for Q2 2026, up 10.7% from $3.12 billion a year earlier and up 8.4% from the prior quarter.
American Express (AXP) Cash Due from Bank (2009 - 2026) Analysis & Trends
At the end of FY2025, American Express' Cash Due from Bank was $3.56 billion, up 4.3% from FY2024.
- Cash Due from Bank carries a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by year, Cash Due from Bank was $3.41 billion in FY2024 (-52.1%), $7.12 billion in FY2023 (+29.2%), $5.51 billion in FY2022 (+326.5%) and $1.29 billion in FY2021 (-56.7%).
- The five-year range for quarterly Cash Due from Bank is $1.29 billion (Q4 2021) to $7.12 billion (Q4 2023).
- Year-over-year, Cash Due from Bank has increased for four consecutive quarters, with an average decline of 21.6% over the last eight quarters.
- The fastest year-over-year change in Cash Due from Bank over five years came in Q4 2022 (growth of 326.5%), and the weakest in Q3 2021 (a decline of 91.1%).
- Business Quant data shows AXP's Cash Due from Bank at $3.19 billion (Q1 2026), $3.56 billion (Q4 2025) and $3.23 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 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 | 505.89 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 42.16 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 3.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.45 Bn |
| Mar 31, 2026 | 3.19 Bn |
| Dec 31, 2025 | 3.56 Bn |
| Sep 30, 2025 | 3.23 Bn |
| Jun 30, 2025 | 3.12 Bn |
| Mar 31, 2025 | 3.02 Bn |
| Dec 31, 2024 | 3.41 Bn |
| Sep 30, 2024 | 3.21 Bn |
| Jun 30, 2024 | 6.67 Bn |
| Mar 31, 2024 | 6.26 Bn |
| Dec 31, 2023 | 7.12 Bn |
| Sep 30, 2023 | 5.08 Bn |
| Jun 30, 2023 | 3.38 Bn |
| Mar 31, 2023 | 3.11 Bn |
| Dec 31, 2022 | 5.51 Bn |
| Sep 30, 2022 | 3.01 Bn |
| Jun 30, 2022 | 3.30 Bn |
| Mar 31, 2022 | 3.01 Bn |
| Dec 31, 2021 | 1.29 Bn |
| Sep 30, 2021 | 2.94 Bn |
American Express Cash Due from Bank 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-due-from-bank&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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-due-from-bank&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();