Columbia Banking System (COLB) Shares Outstanding (Diluted) (2009 - 2026)
Columbia Banking System (COLB) recorded Shares Outstanding (Diluted) of 286.47 million in Q2 2026, up 36.4% from 209.98 million a year earlier but down 1.9% from the prior quarter.
Columbia Banking System (COLB) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Columbia Banking System reported Shares Outstanding (Diluted) of 239.12 million, up 14.2% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 209.34 million in FY2024 (+6.9%), 195.87 million in FY2023 (+150.5%), 78.19 million in FY2022 (+7.3%) and 72.87 million in FY2021 (+2.8%).
- Quarterly Shares Outstanding (Diluted) has ranged from 71.19 million in Q3 2021 to 292.16 million in Q1 2026 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 21 consecutive quarters, with growth averaging 14.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.2% in Q2 2024 to 167.0% in Q2 2023.
- Per Business Quant, the preceding three quarters came in at 292.16 million (Q1 2026), 239.12 million (Q4 2025) and 238.93 million (Q3 2025).
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 | Columbia Banking System | 8.09 Bn | -502.43 Mn | - | 286.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 286.47 Mn |
| Mar 31, 2026 | 292.16 Mn |
| Dec 31, 2025 | 239.12 Mn |
| Sep 30, 2025 | 238.93 Mn |
| Jun 30, 2025 | 209.98 Mn |
| Mar 31, 2025 | 210.02 Mn |
| Dec 31, 2024 | 209.34 Mn |
| Sep 30, 2024 | 209.45 Mn |
| Jun 30, 2024 | 209.01 Mn |
| Mar 31, 2024 | 208.96 Mn |
| Dec 31, 2023 | 195.87 Mn |
| Sep 30, 2023 | 208.65 Mn |
| Jun 30, 2023 | 208.55 Mn |
| Mar 31, 2023 | 156.38 Mn |
| Dec 31, 2022 | 78.19 Mn |
| Sep 30, 2022 | 78.23 Mn |
| Jun 30, 2022 | 78.11 Mn |
| Mar 31, 2022 | 78.08 Mn |
| Dec 31, 2021 | 72.87 Mn |
| Sep 30, 2021 | 71.19 Mn |
Columbia Banking System 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=COLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "COLB", "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=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();