Us Bancorp (USB) Wages, Salaries and Other (2012 - 2022)
Us Bancorp (USB) reported Wages, Salaries and Other of $1.89 billion for Q3 2022, up 2.4% from $1.85 billion a year earlier and up 1.0% from the prior quarter.
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Analysis
Us Bancorp (USB) Wages, Salaries and Other (2012 - 2022) Analysis & Trends
Over the twelve months ended Sep 30, 2022, Us Bancorp's Wages, Salaries and Other came in at $7.47 billion, up 5.3% year-over-year; for FY2021, it was $7.3 billion, up 10.0% from FY2020.
- Wages, Salaries and Other has increased for ten consecutive years, with a five-year compound annual growth rate of 7.0% (FY2016 to FY2021).
- By year, Wages, Salaries and Other came in at $6.64 billion in FY2020 (+4.9%), $6.33 billion in FY2019 (+2.6%), $6.16 billion in FY2018 (+7.2%) and $5.75 billion in FY2017 (+10.2%).
- The Q3 2022 figure ranks as the highest quarterly Wages, Salaries and Other in data going back to Q2 2012.
- Year over year, Wages, Salaries and Other has now increased in each of the last 15 quarters, with growth averaging 6.5% over the last eight quarters.
- The year-over-year growth in Wages, Salaries and Other has ranged between 1.8% (Q4 2019) and 12.7% (Q4 2021) over the last five years.
- Per Business Quant data, the three quarters before Q3 2022 came in at $1.87 billion (Q2 2022), $1.85 billion (Q1 2022) and $1.85 billion (Q4 2021).
Peer Set
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 | Us Bancorp | 89.59 Bn | 90.05 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 1.89 Bn |
| Jun 30, 2022 | 1.87 Bn |
| Mar 31, 2022 | 1.85 Bn |
| Dec 31, 2021 | 1.85 Bn |
| Sep 30, 2021 | 1.85 Bn |
| Jun 30, 2021 | 1.80 Bn |
| Mar 31, 2021 | 1.80 Bn |
| Dec 31, 2020 | 1.64 Bn |
| Sep 30, 2020 | 1.69 Bn |
| Jun 30, 2020 | 1.69 Bn |
| Mar 31, 2020 | 1.62 Bn |
| Dec 31, 2019 | 1.60 Bn |
| Sep 30, 2019 | 1.60 Bn |
| Jun 30, 2019 | 1.57 Bn |
| Mar 31, 2019 | 1.56 Bn |
| Dec 31, 2018 | 1.57 Bn |
| Sep 30, 2018 | 1.53 Bn |
| Jun 30, 2018 | 1.54 Bn |
| Mar 31, 2018 | 1.52 Bn |
| Mar 31, 2017 | 1.39 Bn |
API Access
Us Bancorp 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();