Wells Fargo & Company (WFC) Professional Fees (2010 - 2026)
Wells Fargo & Company's Professional Fees was $1.17 billion in Q3 2026, down 0.8% from $1.18 billion a year earlier but up 5.3% from the prior quarter.
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Analysis
Wells Fargo & Company (WFC) Professional Fees (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wells Fargo & Company's Professional Fees was $4.58 billion through Sep 30, 2026, up 0.8% year-over-year; for FY2025, it was $4.54 billion, down 1.5% from FY2024.
- Professional Fees has now declined for six consecutive years, with a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- In earlier years, Professional Fees was $4.61 billion in FY2024 (-9.4%), $5.09 billion in FY2023 (-2.0%), $5.19 billion in FY2022 (-9.3%) and $5.72 billion in FY2021 (-14.7%).
- Quarterly Professional Fees has moved between $1.04 billion (Q1 2025) and $1.47 billion (Q4 2021) over five years.
- Compared with a year earlier, Professional Fees was higher in three of the last eight quarters, with an average decline of 0.3%.
- The best year-over-year quarter for Professional Fees over five years was Q3 2023 (growth of 6.1%); the worst was Q3 2024 (a decline of 13.7%).
- Per Business Quant data, WFC's Professional Fees in the three quarters before Q3 2026 was $1.11 billion (Q2 2026), $1.07 billion (Q1 2026) and $1.24 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.17 Bn |
| Jun 30, 2026 | 1.11 Bn |
| Mar 31, 2026 | 1.07 Bn |
| Dec 31, 2025 | 1.24 Bn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 1.04 Bn |
| Dec 31, 2024 | 1.24 Bn |
| Sep 30, 2024 | 1.13 Bn |
| Jun 30, 2024 | 1.14 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.24 Bn |
| Sep 30, 2023 | 1.31 Bn |
| Jun 30, 2023 | 1.30 Bn |
| Mar 31, 2023 | 1.23 Bn |
| Dec 31, 2022 | 1.36 Bn |
| Sep 30, 2022 | 1.24 Bn |
| Jun 30, 2022 | 1.31 Bn |
| Mar 31, 2022 | 1.29 Bn |
| Dec 31, 2021 | 1.47 Bn |
API Access
Wells Fargo & Company Professional Fees 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=professional-fees&ticker=WFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();