Us Bancorp (USB) Non Operating Interest Expenses (2009 - 2024)
Us Bancorp's Non Operating Interest Expenses came in at $3.78 billion for Q1 2024, up 62.2% from $2.33 billion a year earlier and up 3.5% from the prior quarter.
Us Bancorp (USB) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, Us Bancorp reported Non Operating Interest Expenses of $14.06 billion, up 165.2% year-over-year; for FY2023, it was $12.61 billion, up 292.0% from FY2022.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 31.1% (FY2018 to FY2023).
- Going back by year, Non Operating Interest Expenses was $3.22 billion in FY2022 (+224.0%), $993 million in FY2021 (-50.7%), $2.02 billion in FY2020 (-54.6%) and $4.44 billion in FY2019 (+36.5%).
- The Q1 2024 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- Year-over-year, Non Operating Interest Expenses has increased for eight consecutive quarters, with growth averaging 372.6% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2023 (growth of 851.0%), and the weakest in Q4 2020 (a decline of 71.0%).
- Business Quant data shows USB's Non Operating Interest Expenses at $3.65 billion (Q4 2023), $3.52 billion (Q3 2023) and $3.11 billion (Q2 2023) in the three quarters before Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Us Bancorp | 90.01 Bn | 90.47 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 3.78 Bn |
| Dec 31, 2023 | 3.65 Bn |
| Sep 30, 2023 | 3.52 Bn |
| Jun 30, 2023 | 3.11 Bn |
| Mar 31, 2023 | 2.33 Bn |
| Dec 31, 2022 | 1.68 Bn |
| Sep 30, 2022 | 901.00 Mn |
| Jun 30, 2022 | 390.00 Mn |
| Mar 31, 2022 | 245.00 Mn |
| Dec 31, 2021 | 232.00 Mn |
| Sep 30, 2021 | 238.00 Mn |
| Jun 30, 2021 | 245.00 Mn |
| Mar 31, 2021 | 278.00 Mn |
| Dec 31, 2020 | 304.00 Mn |
| Sep 30, 2020 | 346.00 Mn |
| Jun 30, 2020 | 472.00 Mn |
| Mar 31, 2020 | 893.00 Mn |
| Dec 31, 2019 | 1.05 Bn |
| Sep 30, 2019 | 1.16 Bn |
| Jun 30, 2019 | 1.15 Bn |
Us Bancorp Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();