Columbia Financial (CLBK) Shares Outstanding (2018 - 2026)
Columbia Financial (CLBK) posted Shares Outstanding of 101.27 million for Q1 2026, down 0.5% from 101.82 million a year earlier and down 0.5% from the prior quarter.
Columbia Financial (CLBK) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, Columbia Financial's Shares Outstanding came in at 101.81 million, up 0.1% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Columbia Financial's Shares Outstanding was 101.68 million in FY2024 (-1.0%), 102.66 million in FY2023 (-2.8%), 105.58 million in FY2022 (+1.4%) and 104.16 million in FY2021 (-5.1%).
- The Q1 2026 figure stands as the lowest quarterly Shares Outstanding in data going back to Q3 2018.
- On a year-over-year basis, Shares Outstanding increased in four of the last eight quarters, with an average decline of 0.2%.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q3 2022, with growth of 3.8%; the weakest was Q3 2021, with a decline of 7.2%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 101.81 million (Q4 2025), 102.03 million (Q3 2025) and 101.99 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 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 | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Columbia Financial | 1.15 Bn | 4.70 Mn | - | 101.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 101.27 Mn |
| Dec 31, 2025 | 101.81 Mn |
| Sep 30, 2025 | 102.03 Mn |
| Jun 30, 2025 | 101.99 Mn |
| Mar 31, 2025 | 101.82 Mn |
| Dec 31, 2024 | 101.68 Mn |
| Sep 30, 2024 | 101.62 Mn |
| Jun 30, 2024 | 101.65 Mn |
| Mar 31, 2024 | 101.75 Mn |
| Dec 31, 2023 | 102.66 Mn |
| Sep 30, 2023 | 101.97 Mn |
| Jun 30, 2023 | 102.41 Mn |
| Mar 31, 2023 | 104.63 Mn |
| Dec 31, 2022 | 105.58 Mn |
| Sep 30, 2022 | 106.93 Mn |
| Jun 30, 2022 | 106.20 Mn |
| Mar 31, 2022 | 103.15 Mn |
| Dec 31, 2021 | 104.16 Mn |
| Sep 30, 2021 | 102.98 Mn |
| Jun 30, 2021 | 104.54 Mn |
Columbia Financial Shares Outstanding 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&ticker=CLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "CLBK", "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&ticker=CLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();