Us Bancorp \De\ (USB) Wages, Salaries and Other (2009 - 2026)
Us Bancorp (USB) reported Wages, Salaries and Other of $2.75 billion for Q3 2026, up 7.5% from $2.56 billion a year earlier and up 2.5% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Us Bancorp's Wages, Salaries and Other came in at $10.6 billion, up 1.8% year-over-year; for FY2025, it was $10.33 billion, down 2.2% from FY2024.
- Wages, Salaries and Other has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- By year, Wages, Salaries and Other came in at $10.55 billion in FY2024 (+1.3%), $10.42 billion in FY2023 (+13.7%), $9.16 billion in FY2022 (+25.5%) and $7.3 billion in FY2021 (+10.0%).
- The Q3 2026 figure ranks as the highest quarterly Wages, Salaries and Other since Q4 2022.
- Year over year, Wages, Salaries and Other gained in three of the last eight quarters, with growth averaging 0.7%.
- The high point for year-over-year Wages, Salaries and Other in five years was Q4 2022 (growth of 91.3%); the low point was Q4 2023 (a decline of 29.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $2.69 billion (Q2 2026), $2.63 billion (Q1 2026) and $2.53 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 14.77 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 10.97 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 8.00 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 4.51 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 5.12 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 8.75 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 2.75 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.75 Bn |
| Jun 30, 2026 | 2.69 Bn |
| Mar 31, 2026 | 2.63 Bn |
| Dec 31, 2025 | 2.53 Bn |
| Sep 30, 2025 | 2.56 Bn |
| Jun 30, 2025 | 2.60 Bn |
| Mar 31, 2025 | 2.64 Bn |
| Dec 31, 2024 | 2.61 Bn |
| Sep 30, 2024 | 2.64 Bn |
| Jun 30, 2024 | 2.62 Bn |
| Mar 31, 2024 | 2.69 Bn |
| Dec 31, 2023 | 2.51 Bn |
| Sep 30, 2023 | 2.62 Bn |
| Jun 30, 2023 | 2.65 Bn |
| Mar 31, 2023 | 2.65 Bn |
| Dec 31, 2022 | 3.54 Bn |
| Sep 30, 2022 | 1.89 Bn |
| Jun 30, 2022 | 1.87 Bn |
| Mar 31, 2022 | 1.85 Bn |
| Dec 31, 2021 | 1.85 Bn |
API Access
Us Bancorp \De\ 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=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "USB", "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=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();