Columbia Banking System (COLB) Total Liabilities (2010 - 2026)
Columbia Banking System (COLB) reported Total Liabilities of $58.06 billion for Q3 2026, down 2.8% from $59.71 billion a year earlier but up 0.4% 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 $18.29 billion in Q3 2022 and a high of $59.71 billion in Q3 2025.
- Year over year, Total Liabilities gained in four of the last eight quarters, with growth averaging 12.2%.
- 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 Q3 2026 came in at $57.83 billion (Q2 2026), $58.36 billion (Q1 2026) and $58.99 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 4,719.18 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 3,130.96 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 3,248.55 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 1,679.93 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 1,573.71 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 2,055.50 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 2,075.41 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 2,571.74 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 274.48 Bn |
| 10 | Columbia Banking System | 8.52 Bn | 534.03 Mn | - | 58.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 58.06 Bn |
| 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 |
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();