Columbia Banking System (COLB) Total Liabilities (2010 - 2026)
Columbia Banking System (COLB) reported Total Liabilities of $57.83 billion for Q2 2026, up 24.2% from $46.56 billion a year earlier but down 0.9% from the prior quarter.
Columbia Banking System (COLB) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Columbia Banking System posted Total Liabilities of $58.99 billion, up 27.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $46.46 billion in FY2024 (-1.5%), $47.18 billion in FY2023 (+60.6%), $29.37 billion in FY2022 (+60.0%) and $18.36 billion in FY2021 (+28.9%).
- Five-year quarterly Total Liabilities spans a low of $16.28 billion in Q3 2021 and a high of $59.71 billion in Q3 2025.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 12.4% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2023 (growth of 166.2%); the low point was Q1 2024 (a decline of 3.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $58.36 billion (Q1 2026), $58.99 billion (Q4 2025) and $59.71 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | Columbia Banking System | 8.11 Bn | -476.98 Mn | - | 57.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.83 Bn |
| Mar 31, 2026 | 58.36 Bn |
| Dec 31, 2025 | 58.99 Bn |
| Sep 30, 2025 | 59.71 Bn |
| Jun 30, 2025 | 46.56 Bn |
| Mar 31, 2025 | 46.28 Bn |
| Dec 31, 2024 | 46.46 Bn |
| Sep 30, 2024 | 46.63 Bn |
| Jun 30, 2024 | 47.07 Bn |
| Mar 31, 2024 | 47.27 Bn |
| Dec 31, 2023 | 47.18 Bn |
| Sep 30, 2023 | 47.36 Bn |
| Jun 30, 2023 | 48.76 Bn |
| Mar 31, 2023 | 49.11 Bn |
| Dec 31, 2022 | 29.37 Bn |
| Sep 30, 2022 | 18.29 Bn |
| Jun 30, 2022 | 18.32 Bn |
| Mar 31, 2022 | 18.60 Bn |
| Dec 31, 2021 | 18.36 Bn |
| Sep 30, 2021 | 16.28 Bn |
Columbia Banking System Total Liabilities 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=total-liabilities&ticker=COLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();