American Express (AXP) Provisions (2009 - 2026)
American Express (AXP) reported Provisions of $1.08 billion for Q2 2026, down 22.8% from $1.41 billion a year earlier and down 13.3% from the prior quarter.
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Analysis
American Express (AXP) Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American Express' Provisions came in at $5.04 billion, down 3.2% year-over-year; for FY2025, it came in at $5.26 billion, up 1.4% from FY2024.
- Provisions has increased for three consecutive years, with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- By year, Provisions came in at $5.19 billion in FY2024 (+5.3%), $4.92 billion in FY2023 (+125.6%), $2.18 billion in FY2022 and -$1.42 billion in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Provisions since Q1 2023.
- Year over year, Provisions gained in four of the last eight quarters, with an average decline of 1.0%.
- The high point for year-over-year Provisions in five years was Q2 2023 (growth of 192.2%); the low point was Q2 2026 (a decline of 22.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.25 billion (Q1 2026), $1.41 billion (Q4 2025) and $1.29 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 914.00 Mn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 1.08 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Bn |
| Mar 31, 2026 | 1.25 Bn |
| Dec 31, 2025 | 1.41 Bn |
| Sep 30, 2025 | 1.29 Bn |
| Jun 30, 2025 | 1.41 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.29 Bn |
| Sep 30, 2024 | 1.36 Bn |
| Jun 30, 2024 | 1.27 Bn |
| Mar 31, 2024 | 1.27 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 778.00 Mn |
| Jun 30, 2022 | 410.00 Mn |
| Mar 31, 2022 | -33.00 Mn |
| Dec 31, 2021 | 53.00 Mn |
| Sep 30, 2021 | -191.00 Mn |
API Access
American Express 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=provisions&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=provisions&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();