American Express (AXP) Change in Accured Expenses (2010 - 2026)
American Express (AXP) recorded Change in Accured Expenses of $1.74 billion in Q2 2026, up 43.8% from $1.21 billion a year earlier and up 264.7% from the prior quarter.
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Analysis
American Express (AXP) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, American Express' Change in Accured Expenses came in at $4.42 billion as of Jun 30, 2026; for FY2025, it came in at $3.65 billion.
- Across earlier years, Change in Accured Expenses came in at -$2.9 billion in FY2024, $5.07 billion in FY2023 (-42.5%), $8.82 billion in FY2022 (+63.6%) and $5.39 billion in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$5.86 billion in Q3 2024 to $4.95 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last six quarters, with growth averaging 0.8%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 288.6% in Q3 2023, against a decline of 83.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $476 million (Q1 2026), $321 million (Q4 2025) and $1.89 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 27.13 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 | - | 14.35 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 1.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 Bn |
| Mar 31, 2026 | 476.00 Mn |
| Dec 31, 2025 | 321.00 Mn |
| Sep 30, 2025 | 1.89 Bn |
| Jun 30, 2025 | 1.21 Bn |
| Mar 31, 2025 | 228.00 Mn |
| Dec 31, 2024 | 852.00 Mn |
| Sep 30, 2024 | -5.86 Bn |
| Jun 30, 2024 | 701.00 Mn |
| Mar 31, 2024 | 1.41 Bn |
| Dec 31, 2023 | 3.23 Bn |
| Sep 30, 2023 | 4.41 Bn |
| Jun 30, 2023 | 984.00 Mn |
| Mar 31, 2023 | -3.56 Bn |
| Dec 31, 2022 | 4.95 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 1.65 Bn |
| Mar 31, 2022 | 1.09 Bn |
| Dec 31, 2021 | 2.57 Bn |
| Sep 30, 2021 | 1.59 Bn |
API Access
American Express Change in Accured Expenses 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=change-in-accured-expenses&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();