Columbia Banking System (COLB) Professional Fees (2010 - 2026)
Columbia Banking System (COLB) posted Professional Fees of $16 million for Q2 2026, up 33.3% from $12 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Columbia Banking System (COLB) Professional Fees (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Professional Fees at Columbia Banking System was $61 million, up 13.0% year-over-year; for FY2025, it was $57 million, up 7.5% from FY2024.
- Annual Professional Fees shows a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- In prior years, Columbia Banking System's Professional Fees was $53 million in FY2024 (unchanged), $53 million in FY2023 (+3.3%), $51.32 million in FY2022 (+5.2%) and $48.8 million in FY2021 (+301.4%).
- The Q2 2026 figure stands as the highest quarterly Professional Fees since Q4 2021.
- On a year-over-year basis, Professional Fees increased in five of the last eight quarters, with growth averaging 7.5%.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q4 2021, with growth of 958.7%; the weakest was Q4 2022, with a decline of 67.7%.
- According to Business Quant data, Professional Fees for the three prior quarters was $15 million (Q1 2026), $15 million (Q4 2025) and $15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 3.90 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 606.00 Mn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 411.67 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 700.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 424.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.17 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Columbia Banking System | 8.52 Bn | 534.03 Mn | - | 15.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.00 Mn |
| Jun 30, 2026 | 16.00 Mn |
| Mar 31, 2026 | 15.00 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Jun 30, 2025 | 12.00 Mn |
| Mar 31, 2025 | 15.00 Mn |
| Dec 31, 2024 | 14.00 Mn |
| Sep 30, 2024 | 13.00 Mn |
| Jun 30, 2024 | 14.60 Mn |
| Mar 31, 2024 | 13.42 Mn |
| Dec 31, 2023 | 11.72 Mn |
| Sep 30, 2023 | 14.34 Mn |
| Jun 30, 2023 | 14.09 Mn |
| Mar 31, 2023 | 12.84 Mn |
| Dec 31, 2022 | 12.23 Mn |
| Sep 30, 2022 | 13.36 Mn |
| Jun 30, 2022 | 14.40 Mn |
| Mar 31, 2022 | 11.34 Mn |
| Dec 31, 2021 | 37.83 Mn |
API Access
Columbia Banking System Professional Fees 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=professional-fees&ticker=COLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();