Wells Fargo & Company (WFC) Wages, Salaries and Other (2010 - 2026)
Wells Fargo & Company's Wages, Salaries and Other came in at $8.85 billion for Q2 2026, up 1.6% from $8.71 billion a year earlier but down 7.7% from the prior quarter.
Wells Fargo & Company (WFC) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wells Fargo & Company reported Wages, Salaries and Other of $36.54 billion, up 1.9% year-over-year; for FY2025, it came in at $36.28 billion, up 1.5% from FY2024.
- Wages, Salaries and Other carries a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Going back by year, Wages, Salaries and Other was $35.73 billion in FY2024 (-0.3%), $35.83 billion in FY2023 (+4.3%), $34.34 billion in FY2022 (-3.4%) and $35.54 billion in FY2021 (+2.1%).
- The five-year range for quarterly Wages, Salaries and Other is $8.21 billion (Q3 2022) to $9.59 billion (Q1 2026).
- Year-over-year, Wages, Salaries and Other has increased for five consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- The fastest year-over-year change in Wages, Salaries and Other over five years came in Q4 2023 (growth of 9.1%), and the weakest in Q3 2022 (a decline of 5.5%).
- Business Quant data shows WFC's Wages, Salaries and Other at $9.59 billion (Q1 2026), $9.08 billion (Q4 2025) and $9.02 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 2.34 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.85 Bn |
| Mar 31, 2026 | 9.59 Bn |
| Dec 31, 2025 | 9.08 Bn |
| Sep 30, 2025 | 9.02 Bn |
| Jun 30, 2025 | 8.71 Bn |
| Mar 31, 2025 | 9.47 Bn |
| Dec 31, 2024 | 9.07 Bn |
| Sep 30, 2024 | 8.59 Bn |
| Jun 30, 2024 | 8.58 Bn |
| Mar 31, 2024 | 9.49 Bn |
| Dec 31, 2023 | 9.18 Bn |
| Sep 30, 2023 | 8.63 Bn |
| Jun 30, 2023 | 8.61 Bn |
| Mar 31, 2023 | 9.42 Bn |
| Dec 31, 2022 | 8.42 Bn |
| Sep 30, 2022 | 8.21 Bn |
| Jun 30, 2022 | 8.44 Bn |
| Mar 31, 2022 | 9.27 Bn |
| Dec 31, 2021 | 8.48 Bn |
| Sep 30, 2021 | 8.69 Bn |
Wells Fargo & Company Wages, Salaries and Other 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=wages-salaries-and-other&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();