Us Bancorp (USB) Consolidated Net Income (2009 - 2026)
Us Bancorp (USB) recorded Consolidated Net Income of $2.18 billion in Q2 2026, up 19.9% from $1.82 billion a year earlier and up 11.9% from the prior quarter.
Us Bancorp (USB) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Us Bancorp's Consolidated Net Income came in at $8.19 billion as of Jun 30, 2026, up 18.2% year-over-year; for FY2025, it came in at $7.6 billion, up 20.0% from FY2024.
- Annual Consolidated Net Income has a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Across earlier years, Consolidated Net Income came in at $6.33 billion in FY2024 (+16.0%), $5.46 billion in FY2023 (-6.5%), $5.84 billion in FY2022 (-26.9%) and $7.99 billion in FY2021 (+60.2%).
- The Q2 2026 figure is the highest quarterly Consolidated Net Income since Q1 2021.
- On a year-over-year basis, Consolidated Net Income has increased for nine consecutive quarters, with growth averaging 27.8% over the last eight quarters.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 94.0% in Q4 2024, against a decline of 44.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.95 billion (Q1 2026), $2.05 billion (Q4 2025) and $2.01 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 6.65 Bn |
| 10 | Us Bancorp | 89.40 Bn | 89.86 Bn | - | 2.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.18 Bn |
| Mar 31, 2026 | 1.95 Bn |
| Dec 31, 2025 | 2.05 Bn |
| Sep 30, 2025 | 2.01 Bn |
| Jun 30, 2025 | 1.82 Bn |
| Mar 31, 2025 | 1.72 Bn |
| Dec 31, 2024 | 1.67 Bn |
| Sep 30, 2024 | 1.72 Bn |
| Jun 30, 2024 | 1.61 Bn |
| Mar 31, 2024 | 1.33 Bn |
| Dec 31, 2023 | 861.00 Mn |
| Sep 30, 2023 | 1.52 Bn |
| Jun 30, 2023 | 1.37 Bn |
| Mar 31, 2023 | 1.70 Bn |
| Dec 31, 2022 | 930.00 Mn |
| Sep 30, 2022 | 1.82 Bn |
| Jun 30, 2022 | 1.53 Bn |
| Mar 31, 2022 | 1.56 Bn |
| Dec 31, 2021 | 1.68 Bn |
| Sep 30, 2021 | 2.03 Bn |
Us Bancorp Consolidated Net Income 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=consolidated-net-income&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();