Columbia Banking System (COLB) Tax Provisions (2010 - 2026)
Columbia Banking System's Tax Provisions came in at $67 million for Q2 2026, up 31.4% from $51 million a year earlier and up 6.3% from the prior quarter.
Columbia Banking System (COLB) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Columbia Banking System reported Tax Provisions of $220 million, up 17.6% year-over-year; for FY2025, it was $178 million, down 3.8% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $185 million in FY2024 (+51.6%), $122 million in FY2023 (+7.2%), $113.83 million in FY2022 (-17.4%) and $137.86 million in FY2021 (+261.4%).
- The five-year range for quarterly Tax Provisions is -$4.9 million (Q1 2023) to $97.3 million (Q4 2021).
- Year-over-year, Tax Provisions has increased for three consecutive quarters, with growth averaging 17.9% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q4 2021 (growth of 480.1%), and the weakest in Q4 2022 (a decline of 69.8%).
- Business Quant data shows COLB's Tax Provisions at $63 million (Q1 2026), $67 million (Q4 2025) and $23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Columbia Banking System | 8.09 Bn | -502.43 Mn | - | 67.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.00 Mn |
| Mar 31, 2026 | 63.00 Mn |
| Dec 31, 2025 | 67.00 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Jun 30, 2025 | 51.00 Mn |
| Mar 31, 2025 | 37.00 Mn |
| Dec 31, 2024 | 49.00 Mn |
| Sep 30, 2024 | 50.00 Mn |
| Jun 30, 2024 | 40.94 Mn |
| Mar 31, 2024 | 45.00 Mn |
| Dec 31, 2023 | 33.06 Mn |
| Sep 30, 2023 | 48.13 Mn |
| Jun 30, 2023 | 45.70 Mn |
| Mar 31, 2023 | -4.90 Mn |
| Dec 31, 2022 | 29.43 Mn |
| Sep 30, 2022 | 27.47 Mn |
| Jun 30, 2022 | 26.55 Mn |
| Mar 31, 2022 | 30.34 Mn |
| Dec 31, 2021 | 97.30 Mn |
| Sep 30, 2021 | 13.47 Mn |
Columbia Banking System Tax Provisions 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=tax-provisions&ticker=COLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();