American Express (AXP) Depreciation & Amortization (CF) (2010 - 2026)
American Express (AXP) reported Depreciation & Amortization (CF) of $488 million for Q2 2026, up 14.3% from $427 million a year earlier and up 4.3% from the prior quarter.
American Express (AXP) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American Express' Depreciation & Amortization (CF) came in at $1.87 billion, up 8.6% year-over-year; for FY2025, it came in at $1.78 billion, up 6.0% from FY2024.
- Depreciation & Amortization (CF) has increased for three consecutive years, with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $1.68 billion in FY2024 (+1.5%), $1.65 billion in FY2023 (+1.5%), $1.63 billion in FY2022 (-4.1%) and $1.7 billion in FY2021 (+9.9%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation & Amortization (CF) in data going back to Q1 2010.
- Year over year, Depreciation & Amortization (CF) has now increased in each of the last nine quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q2 2026 (growth of 14.3%); the low point was Q3 2022 (a decline of 6.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $468 million (Q1 2026), $462 million (Q4 2025) and $455 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 2.32 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 612.00 Mn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 1.20 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 243.13 Mn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 509.00 Mn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 1.88 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 488.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 488.00 Mn |
| Mar 31, 2026 | 468.00 Mn |
| Dec 31, 2025 | 462.00 Mn |
| Sep 30, 2025 | 455.00 Mn |
| Jun 30, 2025 | 427.00 Mn |
| Mar 31, 2025 | 433.00 Mn |
| Dec 31, 2024 | 428.00 Mn |
| Sep 30, 2024 | 437.00 Mn |
| Jun 30, 2024 | 421.00 Mn |
| Mar 31, 2024 | 390.00 Mn |
| Dec 31, 2023 | 422.00 Mn |
| Sep 30, 2023 | 429.00 Mn |
| Jun 30, 2023 | 400.00 Mn |
| Mar 31, 2023 | 400.00 Mn |
| Dec 31, 2022 | 418.00 Mn |
| Sep 30, 2022 | 413.00 Mn |
| Jun 30, 2022 | 397.00 Mn |
| Mar 31, 2022 | 398.00 Mn |
| Dec 31, 2021 | 419.00 Mn |
| Sep 30, 2021 | 442.00 Mn |
American Express Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();