American Express (AXP) Tax Provisions (2009 - 2026)
American Express (AXP) reported Tax Provisions of $819 million for Q3 2026, down 11.3% from $923 million a year earlier and down 14.8% from the prior quarter.
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Analysis
American Express (AXP) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, American Express' Tax Provisions came in at $3.22 billion, up 10.1% 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%).
- Five-year quarterly Tax Provisions spans a low of $299 million in Q4 2022 and a high of $961 million in Q2 2026.
- Year over year, Tax Provisions gained in six of the last eight quarters, with growth averaging 9.2%.
- The high point for year-over-year Tax Provisions in five years was Q1 2024 (growth of 101.7%); the low point was Q4 2022 (a decline of 49.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $961 million (Q2 2026), $807 million (Q1 2026) and $628 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | 4.83 Bn |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 2.49 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | -2.06 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | 1.51 Bn |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 1.24 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | 1.71 Bn |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1.16 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 1.70 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 883.59 Mn |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 819.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 819.00 Mn |
| 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 |
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();