American Express (AXP) Property, Plant & Equipment (Net) (2010 - 2026)
American Express' Property, Plant & Equipment (Net) came in at $7.69 billion for Q2 2026, up 35.8% from $5.66 billion a year earlier and up 6.2% from the prior quarter.
American Express (AXP) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, American Express' Property, Plant & Equipment (Net) was $6.12 billion, up 13.9% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $5.37 billion in FY2024 (+4.5%), $5.14 billion in FY2023 (-1.5%), $5.22 billion in FY2022 (+4.6%) and $4.99 billion in FY2021 (-0.5%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year-over-year, Property, Plant & Equipment (Net) has increased for nine consecutive quarters, with growth averaging 14.4% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 35.8%), and the weakest in Q4 2023 (a decline of 1.5%).
- Business Quant data shows AXP's Property, Plant & Equipment (Net) at $7.24 billion (Q1 2026), $6.12 billion (Q4 2025) and $5.86 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 12.79 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 | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 11.63 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 7.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.69 Bn |
| Mar 31, 2026 | 7.24 Bn |
| Dec 31, 2025 | 6.12 Bn |
| Sep 30, 2025 | 5.86 Bn |
| Jun 30, 2025 | 5.66 Bn |
| Mar 31, 2025 | 5.38 Bn |
| Dec 31, 2024 | 5.37 Bn |
| Sep 30, 2024 | 5.31 Bn |
| Jun 30, 2024 | 5.25 Bn |
| Mar 31, 2024 | 5.14 Bn |
| Dec 31, 2023 | 5.14 Bn |
| Sep 30, 2023 | 5.12 Bn |
| Jun 30, 2023 | 5.18 Bn |
| Mar 31, 2023 | 5.20 Bn |
| Dec 31, 2022 | 5.22 Bn |
| Sep 30, 2022 | 5.10 Bn |
| Jun 30, 2022 | 5.09 Bn |
| Mar 31, 2022 | 5.05 Bn |
| Dec 31, 2021 | 4.99 Bn |
| Sep 30, 2021 | 4.96 Bn |
American Express Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();