Wells Fargo & Company (WFC) Provision for Losses (2009 - 2026)
Wells Fargo & Company (WFC) posted Provision for Losses of $914 million for Q2 2026, down 9.1% from $1.01 billion a year earlier and down 19.5% from the prior quarter.
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Analysis
Wells Fargo & Company (WFC) Provision for Losses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Wells Fargo & Company was $3.77 billion, down 8.0% year-over-year; for FY2025, it was $3.66 billion, down 15.6% from FY2024.
- Annual Provision for Losses shows a five-year compound annual growth rate of -23.7% (FY2020 to FY2025).
- In prior years, Wells Fargo & Company's Provision for Losses was $4.33 billion in FY2024 (-19.7%), $5.4 billion in FY2023 (+252.0%), $1.53 billion in FY2022 and -$4.16 billion in FY2021.
- Quarterly Provision for Losses has run from a low of -$1.4 billion in Q3 2021 to a high of $1.71 billion in Q2 2023 over five years.
- On a year-over-year basis, Provision for Losses increased in 1 of the last eight quarters, with an average decline of 9.2%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q2 2023, with growth of 195.3%; the weakest was Q3 2025, with a decline of 36.1%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $1.14 billion (Q1 2026), $1.04 billion (Q4 2025) and $681 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1.40 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 717.20 Mn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | - |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 985.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.03 Bn |
| 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 |
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();