Customers Bancorp (CUBI) Shares Outstanding (Diluted) (2010 - 2026)
Customers Bancorp (CUBI) posted Shares Outstanding (Diluted) of 34.91 million for Q2 2026, up 7.8% from 32.37 million a year earlier but down 1.2% from the prior quarter.
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Analysis
Customers Bancorp (CUBI) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Customers Bancorp's Shares Outstanding (Diluted) came in at 33.44 million, up 2.2% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In prior years, Customers Bancorp's Shares Outstanding (Diluted) was 32.72 million in FY2024 (+1.7%), 32.16 million in FY2023 (-4.1%), 33.55 million in FY2022 (-0.4%) and 33.7 million in FY2021 (+6.2%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 31.59 million in Q2 2023 to a high of 35.31 million in Q1 2026 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last four quarters, with growth averaging 2.8% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2026, with growth of 8.7%; the weakest was Q2 2023, with a decline of 5.9%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 35.31 million (Q1 2026), 33.44 million (Q4 2025) and 33.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Customers Bancorp | 2.50 Bn | -15.07 Bn | - | 34.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.91 Mn |
| Mar 31, 2026 | 35.31 Mn |
| Dec 31, 2025 | 33.44 Mn |
| Sep 30, 2025 | 33.46 Mn |
| Jun 30, 2025 | 32.37 Mn |
| Mar 31, 2025 | 32.49 Mn |
| Dec 31, 2024 | 32.72 Mn |
| Sep 30, 2024 | 32.77 Mn |
| Jun 30, 2024 | 32.70 Mn |
| Mar 31, 2024 | 32.85 Mn |
| Dec 31, 2023 | 32.16 Mn |
| Sep 30, 2023 | 32.18 Mn |
| Jun 30, 2023 | 31.59 Mn |
| Mar 31, 2023 | 32.35 Mn |
| Dec 31, 2022 | 33.55 Mn |
| Sep 30, 2022 | 33.23 Mn |
| Jun 30, 2022 | 33.58 Mn |
| Mar 31, 2022 | 34.33 Mn |
| Dec 31, 2021 | 33.70 Mn |
| Sep 30, 2021 | 33.87 Mn |
API Access
Customers Bancorp 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=shares-outstanding-diluted&ticker=CUBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CUBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=CUBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();