Columbia Banking System (COLB) Amortization - Intangibles (2010 - 2026)
Columbia Banking System's Amortization - Intangibles was $38 million in Q3 2026, up 22.6% from $31 million a year earlier and unchanged from the prior quarter.
Columbia Banking System (COLB) Amortization - Intangibles (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbia Banking System's Amortization - Intangibles was $159 million through Sep 30, 2026, up 39.5% year-over-year; for FY2025, it came in at $127 million, up 6.7% from FY2024.
- Amortization - Intangibles shows a five-year compound annual growth rate of 70.9% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $119 million in FY2024 (+7.2%), $111 million in FY2023, $4.1 million in FY2022 (-9.3%) and $4.52 million in FY2021 (-48.2%).
- Quarterly Amortization - Intangibles has moved between -$1.09 million (Q4 2021) and $42 million (Q4 2025) over five years.
- Compared with a year earlier, Amortization - Intangibles has increased for five straight quarters, with growth averaging 16.4% over the last eight quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was Q1 2024 (growth of 152.8%); the worst was Q1 2022 (a decline of 46.7%).
- Per Business Quant data, COLB's Amortization - Intangibles in the three quarters before Q3 2026 was $38 million (Q2 2026), $41 million (Q1 2026) and $42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 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 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.00 Mn |
| Jun 30, 2026 | 38.00 Mn |
| Mar 31, 2026 | 41.00 Mn |
| Dec 31, 2025 | 42.00 Mn |
| Sep 30, 2025 | 31.00 Mn |
| Jun 30, 2025 | 26.00 Mn |
| Mar 31, 2025 | 28.00 Mn |
| Dec 31, 2024 | 29.00 Mn |
| Sep 30, 2024 | 29.00 Mn |
| Jun 30, 2024 | 29.23 Mn |
| Mar 31, 2024 | 32.10 Mn |
| Dec 31, 2023 | 32.90 Mn |
| Sep 30, 2023 | 29.90 Mn |
| Jun 30, 2023 | 35.60 Mn |
| Mar 31, 2023 | 12.70 Mn |
| Dec 31, 2022 | 1.02 Mn |
| Sep 30, 2022 | 1.03 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 1.03 Mn |
| Dec 31, 2021 | -1.09 Mn |
Columbia Banking System Amortization - Intangibles 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=amortization-intangibles&ticker=COLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();