Wells Fargo & Company (WFC) Provision for Credit Losses (2009 - 2026)
Wells Fargo & Company (WFC) recorded Provision for Credit Losses of $1.03 billion in Q3 2026, up 49.8% from $687 million a year earlier and up 12.6% from the prior quarter.
Wells Fargo & Company (WFC) Provision for Credit Losses (2009 - 2026) Analysis & Trends
On a TTM basis, Wells Fargo & Company's Provision for Credit Losses came in at $4.15 billion as of Sep 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $3.69 billion, down 14.9% from FY2024.
- Annual Provision for Credit Losses has a five-year compound annual growth rate of -23.5% (FY2020 to FY2025).
- Across earlier years, Provision for Credit Losses came in at $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 Credit Losses has ranged from -$787 million in Q1 2022 to $1.84 billion in Q2 2023 over the past five years.
- On a year-over-year basis, Provision for Credit Losses rose in two of the last eight quarters, with an average decline of 1.1%.
- Peak year-over-year performance for Provision for Credit Losses in the last five years was growth of 217.1% in Q2 2023, against a decline of 35.5% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $914 million (Q2 2026), $1.14 billion (Q1 2026) and $1.07 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 985.00 Mn |
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 | 1.07 Bn |
| Sep 30, 2025 | 687.00 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 | 1.84 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 | -412.00 Mn |
Wells Fargo & Company Provision for Credit 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-credit-losses&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();