Columbia Banking System (COLB) Purchase of AFS Securities (2010 - 2026)
Columbia Banking System's Purchase of AFS Securities was $463 million in Q2 2026, down 15.5% from $548 million a year earlier but up 122.6% from the prior quarter.
Columbia Banking System (COLB) Purchase of AFS Securities (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbia Banking System's Purchase of AFS Securities was $2.53 billion through Jun 30, 2026, up 332.0% year-over-year; for FY2025, it was $2.4 billion.
- Purchase of AFS Securities shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Purchase of AFS Securities was $70 million in FY2024 (-92.4%), $926 million in FY2023 (+234.5%), $276.81 million in FY2022 (-84.9%) and $1.84 billion in FY2021 (-13.2%).
- Quarterly Purchase of AFS Securities has moved between -$569.66 million (Q4 2021) and $1.61 billion (Q3 2025) over five years.
- Compared with a year earlier, Purchase of AFS Securities was higher in two of the last four quarters, with growth averaging 280.5%.
- The best year-over-year quarter for Purchase of AFS Securities over five years was Q4 2024 (growth of 605.7%); the worst was Q1 2024 (a decline of 99.8%).
- Per Business Quant data, COLB's Purchase of AFS Securities in the three quarters before Q2 2026 was $208 million (Q1 2026), $245 million (Q4 2025) and $1.61 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Purchase of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.34 Bn | 909.34 Bn | - | 73.61 Bn |
| 2 | Bank Of America | 360.42 Bn | -2,015.69 Bn | - | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,792.21 Bn | - | - |
| 4 | Morgan Stanley | 291.89 Bn | -252.14 Bn | - | 7.20 Bn |
| 5 | Royal Bank Of Canada | 286.06 Bn | -543.98 Bn | - | - |
| 6 | Goldman Sachs | 266.79 Bn | -3,476.65 Bn | - | 25.10 Bn |
| 7 | Wells Fargo & Company | 257.22 Bn | 257.22 Bn | - | 32.96 Bn |
| 8 | Mitsubishi Ufj Financial | 245.43 Bn | -95.96 Bn | 10.89 Bn | - |
| 9 | American Express | 218.89 Bn | 18.38 Bn | - | - |
| 10 | Columbia Banking System | 8.69 Bn | 704.36 Mn | - | 638.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 638.00 Mn |
| Jun 30, 2026 | 463.00 Mn |
| Mar 31, 2026 | 208.00 Mn |
| Dec 31, 2025 | 245.00 Mn |
| Sep 30, 2025 | 1.61 Bn |
| Jun 30, 2025 | 548.00 Mn |
| Dec 31, 2024 | 36.00 Mn |
| Sep 30, 2024 | 494,000.00 |
| Jun 30, 2024 | 31.38 Mn |
| Mar 31, 2024 | 2.13 Mn |
| Dec 31, 2023 | 5.10 Mn |
| Sep 30, 2023 | 966,000.00 |
| Jun 30, 2023 | 700,000.00 |
| Mar 31, 2023 | 919.23 Mn |
| Dec 31, 2022 | 101.16 Mn |
| Jun 30, 2022 | 43.79 Mn |
| Mar 31, 2022 | 131.87 Mn |
| Dec 31, 2021 | -569.66 Mn |
| Sep 30, 2021 | 881.07 Mn |
| Jun 30, 2021 | 918.66 Mn |
Columbia Banking System Purchase of AFS Securities 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=purchase-of-afs-securities&ticker=COLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-afs-securities", "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=purchase-of-afs-securities&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();