Columbia Banking System (COLB) Income Taxes Paid (2010 - 2026)
Columbia Banking System (COLB) posted Income Taxes Paid of $53 million for Q2 2026, down 36.9% from $84 million a year earlier.
Columbia Banking System (COLB) Income Taxes Paid (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income Taxes Paid at Columbia Banking System was $93 million, down 30.4% year-over-year; for FY2025, it was $123 million, up 21.8% from FY2024.
- Annual Income Taxes Paid shows a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- In prior years, Columbia Banking System's Income Taxes Paid was $101 million in FY2024 (-27.3%), $139 million in FY2023 (+93.6%), $71.8 million in FY2022 (-31.7%) and $105.12 million in FY2021 (+142.8%).
- Quarterly Income Taxes Paid has run from a low of $566,000 in Q1 2024 to a high of $84 million in Q2 2025 over five years.
- On a year-over-year basis, Income Taxes Paid increased in five of the last eight quarters, with growth averaging 117.3%.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was Q3 2024, with growth of 702.5%; the weakest was Q4 2025, with a decline of 97.1%.
- According to Business Quant data, Income Taxes Paid for the three prior quarters was $2 million (Q1 2026), $1 million (Q4 2025) and $37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 916.58 Bn | 916.58 Bn | - | 3.84 Bn |
| 2 | Bank Of America | 362.10 Bn | -2,014.01 Bn | - | - |
| 3 | Hsbc Holdings | 314.03 Bn | -1,789.56 Bn | - | - |
| 4 | Morgan Stanley | 289.57 Bn | -254.46 Bn | - | 1.10 Bn |
| 5 | Royal Bank Of Canada | 287.54 Bn | -542.51 Bn | - | 788.20 Mn |
| 6 | Goldman Sachs | 268.73 Bn | -3,474.72 Bn | - | - |
| 7 | Wells Fargo & Company | 258.05 Bn | 258.05 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 247.49 Bn | -93.90 Bn | 10.89 Bn | - |
| 9 | American Express | 218.27 Bn | 17.76 Bn | - | - |
| 10 | Columbia Banking System | 8.67 Bn | 682.02 Mn | - | 47.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 47.00 Mn |
| Jun 30, 2026 | 53.00 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 37.00 Mn |
| Jun 30, 2025 | 84.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 35.00 Mn |
| Sep 30, 2024 | 13.63 Mn |
| Jun 30, 2024 | 51.81 Mn |
| Mar 31, 2024 | 566,000.00 |
| Dec 31, 2023 | 58.77 Mn |
| Sep 30, 2023 | 1.70 Mn |
| Jun 30, 2023 | 67.12 Mn |
| Mar 31, 2023 | 11.41 Mn |
| Dec 31, 2022 | 27.63 Mn |
| Sep 30, 2022 | 12.70 Mn |
| Jun 30, 2022 | 25.43 Mn |
| Mar 31, 2022 | 6.05 Mn |
| Dec 31, 2021 | 60.00 Mn |
Columbia Banking System Income Taxes Paid 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=income-taxes-paid&ticker=COLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();