Columbia Banking System (COLB) Enterprise Value (2009 - 2026)
Columbia Banking System (COLB) posted Enterprise Value of $7.3 billion for Q2 2026, up 145.4% from $2.97 billion a year earlier and up 24.9% from the prior quarter.
Columbia Banking System (COLB) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Columbia Banking System was $473.28 million; for FY2025, it was $4.27 billion, up 13.0% from FY2024.
- Annual Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior years, Columbia Banking System's Enterprise Value was $3.78 billion in FY2024 (+11.1%), $3.4 billion in FY2023 (+221.9%), $1.06 billion in FY2022 (-39.4%) and $1.74 billion in FY2021 (-9.0%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value in data going back to Q4 2009.
- On a year-over-year basis, Enterprise Value has increased in each of the last nine quarters, with growth averaging 57.9% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2023, with growth of 221.9%; the weakest was Q2 2023, with a decline of 55.3%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $5.84 billion (Q1 2026), $4.27 billion (Q4 2025) and $3.78 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Columbia Banking System | 8.11 Bn | -476.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.30 Bn |
| Mar 31, 2026 | 5.84 Bn |
| Dec 31, 2025 | 4.27 Bn |
| Sep 30, 2025 | 3.78 Bn |
| Jun 30, 2025 | 2.97 Bn |
| Mar 31, 2025 | 3.17 Bn |
| Dec 31, 2024 | 3.78 Bn |
| Sep 30, 2024 | 3.36 Bn |
| Jun 30, 2024 | 2.10 Bn |
| Mar 31, 2024 | 1.85 Bn |
| Dec 31, 2023 | 3.40 Bn |
| Sep 30, 2023 | 1.83 Bn |
| Jun 30, 2023 | 821.44 Mn |
| Mar 31, 2023 | -285.46 Mn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 1.95 Bn |
| Jun 30, 2022 | 1.84 Bn |
| Mar 31, 2022 | 1.57 Bn |
| Dec 31, 2021 | 1.74 Bn |
| Sep 30, 2021 | 1.83 Bn |
Columbia Banking System Enterprise Value 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=enterprise-value&ticker=COLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();