Wells Fargo & Company (WFC) Change in Accrued Expenses (2009 - 2026)
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Analysis
Wells Fargo & Company (WFC) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | -5.85 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | -39.30 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | -2.81 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2.81 Bn |
| Jun 30, 2026 | 14.35 Bn |
| Mar 31, 2026 | -2.17 Bn |
| Dec 31, 2025 | -1.78 Bn |
| Sep 30, 2025 | 8.17 Bn |
| Jun 30, 2025 | 1.67 Bn |
| Mar 31, 2025 | -2.95 Bn |
| Dec 31, 2024 | -5.17 Bn |
| Sep 30, 2024 | 88.00 Mn |
| Jun 30, 2024 | 2.57 Bn |
| Mar 31, 2024 | 111.00 Mn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | -3.63 Bn |
| Jun 30, 2023 | 3.17 Bn |
| Mar 31, 2023 | -1.15 Bn |
| Dec 31, 2022 | -5.15 Bn |
| Sep 30, 2022 | 2.39 Bn |
| Jun 30, 2022 | -1.22 Bn |
| Mar 31, 2022 | 3.11 Bn |
| Dec 31, 2021 | -1.89 Bn |
API Access
Wells Fargo & Company Change in Accrued 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-accrued-expenses&ticker=WFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "ticker": "WFC", "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-accrued-expenses&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();