Us Bancorp \De\ (USB) Weighted Average Shares Outstanding (Diluted) (2009 - 2026)
Us Bancorp (USB) reported Weighted Average Shares Outstanding (Diluted) of 1.56 billion for Q3 2026, up 0.1% from 1.56 billion a year earlier and up 0.3% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Weighted Average Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Dating back to Q1 2009, Us Bancorp's Weighted Average Shares Outstanding (Diluted) record includes 69 quarters.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 1.56 billion in FY2024 (+1.2%), 1.54 billion in FY2023 (+3.6%), 1.49 billion in FY2022 (unchanged) and 1.49 billion in FY2021 (-1.3%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 1.49 billion in Q1 2022 and a high of 1.56 billion in Q4 2024.
- Year over year, Weighted Average Shares Outstanding (Diluted) gained in three of the last eight quarters, with an average year-over-year change of 0.0%.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2023 (growth of 4.2%); the low point was Q4 2021 (a decline of 1.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 1.56 billion (Q2 2026), 1.56 billion (Q1 2026) and 1.56 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.56 Bn |
| Jun 30, 2026 | 1.56 Bn |
| Mar 31, 2026 | 1.56 Bn |
| Dec 31, 2025 | 1.56 Bn |
| Sep 30, 2025 | 1.56 Bn |
| Jun 30, 2025 | 1.56 Bn |
| Mar 31, 2025 | 1.56 Bn |
| Dec 31, 2024 | 1.56 Bn |
| Sep 30, 2024 | 1.56 Bn |
| Jun 30, 2024 | 1.56 Bn |
| Mar 31, 2024 | 1.56 Bn |
| Dec 31, 2023 | 1.54 Bn |
| Sep 30, 2023 | 1.55 Bn |
| Jun 30, 2023 | 1.53 Bn |
| Mar 31, 2023 | 1.53 Bn |
| Dec 31, 2022 | 1.49 Bn |
| Sep 30, 2022 | 1.49 Bn |
| Jun 30, 2022 | 1.49 Bn |
| Mar 31, 2022 | 1.49 Bn |
| Dec 31, 2021 | 1.49 Bn |
API Access
Us Bancorp \De\ Weighted Average Shares Outstanding (Diluted) 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=weighted-average-shares-outstanding-diluted&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "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=weighted-average-shares-outstanding-diluted&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();