Wells Fargo & Company (WFC) Provision for Losses (2009 - 2026)
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Analysis
Wells Fargo & Company (WFC) Provision for Losses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (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 | - | 1.40 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 | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 102.00 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 | 914.00 Mn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.04 Bn |
| Sep 30, 2025 | 681.00 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 932.00 Mn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.07 Bn |
| Jun 30, 2024 | 1.24 Bn |
| Mar 31, 2024 | 938.00 Mn |
| Dec 31, 2023 | 1.28 Bn |
| Sep 30, 2023 | 1.20 Bn |
| Jun 30, 2023 | 1.71 Bn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 957.00 Mn |
| Sep 30, 2022 | 784.00 Mn |
| Jun 30, 2022 | 580.00 Mn |
| Mar 31, 2022 | -787.00 Mn |
| Dec 31, 2021 | -452.00 Mn |
| Sep 30, 2021 | -1.40 Bn |
API Access
Wells Fargo & Company Provision for Losses 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=provision-for-losses&ticker=WFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();