American Express (AXP) Enterprise Value (2009 - 2026)
American Express' Enterprise Value was $179 billion in Q2 2026, up 9.2% from $163.88 billion a year earlier and up 17.6% from the prior quarter.
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Analysis
American Express (AXP) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Express' Enterprise Value was $20.14 billion through Jun 30, 2026, down 9.3% year-over-year; for FY2025, it came in at $204.95 billion, up 22.4% from FY2024.
- Enterprise Value has now increased for three consecutive years, with a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $167.49 billion in FY2024 (+88.9%), $88.68 billion in FY2023 (+17.4%), $75.56 billion in FY2022 (-26.1%) and $102.28 billion in FY2021 (+59.3%).
- Quarterly Enterprise Value has moved between $64.77 billion (Q3 2023) and $204.95 billion (Q4 2025) over five years.
- Compared with a year earlier, Enterprise Value has increased for 11 straight quarters, with growth averaging 43.1% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2021 (growth of 127.0%); the worst was Q3 2022 (a decline of 33.0%).
- Per Business Quant data, AXP's Enterprise Value in the three quarters before Q2 2026 was $152.24 billion (Q1 2026), $204.95 billion (Q4 2025) and $172.88 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 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 | - |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.00 Bn |
| Mar 31, 2026 | 152.24 Bn |
| Dec 31, 2025 | 204.95 Bn |
| Sep 30, 2025 | 172.88 Bn |
| Jun 30, 2025 | 163.88 Bn |
| Mar 31, 2025 | 135.84 Bn |
| Dec 31, 2024 | 167.49 Bn |
| Sep 30, 2024 | 142.89 Bn |
| Jun 30, 2024 | 111.78 Bn |
| Mar 31, 2024 | 109.43 Bn |
| Dec 31, 2023 | 88.68 Bn |
| Sep 30, 2023 | 64.77 Bn |
| Jun 30, 2023 | 84.54 Bn |
| Mar 31, 2023 | 81.51 Bn |
| Dec 31, 2022 | 75.56 Bn |
| Sep 30, 2022 | 68.59 Bn |
| Jun 30, 2022 | 77.14 Bn |
| Mar 31, 2022 | 111.74 Bn |
| Dec 31, 2021 | 102.28 Bn |
| Sep 30, 2021 | 102.31 Bn |
API Access
American Express Enterprise Value 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=enterprise-value&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();