American Express (AXP) Tax Provisions (2009 - 2026)
American Express (AXP) reported Tax Provisions of $961 million for Q2 2026, up 44.5% from $665 million a year earlier and up 19.1% from the prior quarter.
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Analysis
American Express (AXP) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American Express' Tax Provisions came in at $3.32 billion, up 23.2% year-over-year; for FY2025, it came in at $2.96 billion, up 7.1% from FY2024.
- Tax Provisions has increased for three consecutive years, with a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- By year, Tax Provisions came in at $2.77 billion in FY2024 (+29.3%), $2.14 billion in FY2023 (+3.3%), $2.07 billion in FY2022 (-21.2%) and $2.63 billion in FY2021 (+126.4%).
- The Q2 2026 figure ranks as the highest quarterly Tax Provisions since Q4 2017.
- Year over year, Tax Provisions has now increased in each of the last four quarters, with growth averaging 11.5% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was Q3 2021 (growth of 114.4%); the low point was Q4 2022 (a decline of 49.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $807 million (Q1 2026), $628 million (Q4 2025) and $923 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | 1.70 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 1.40 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 961.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 961.00 Mn |
| Mar 31, 2026 | 807.00 Mn |
| Dec 31, 2025 | 628.00 Mn |
| Sep 30, 2025 | 923.00 Mn |
| Jun 30, 2025 | 665.00 Mn |
| Mar 31, 2025 | 746.00 Mn |
| Dec 31, 2024 | 586.00 Mn |
| Sep 30, 2024 | 697.00 Mn |
| Jun 30, 2024 | 775.00 Mn |
| Mar 31, 2024 | 708.00 Mn |
| Dec 31, 2023 | 579.00 Mn |
| Sep 30, 2023 | 649.00 Mn |
| Jun 30, 2023 | 560.00 Mn |
| Mar 31, 2023 | 351.00 Mn |
| Dec 31, 2022 | 299.00 Mn |
| Sep 30, 2022 | 580.00 Mn |
| Jun 30, 2022 | 579.00 Mn |
| Mar 31, 2022 | 613.00 Mn |
| Dec 31, 2021 | 587.00 Mn |
| Sep 30, 2021 | 624.00 Mn |
API Access
American Express Tax Provisions 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=tax-provisions&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();