Columbia Banking System (COLB) Provision for Losses (2011 - 2026)
Columbia Banking System (COLB) recorded Provision for Losses of $27 million in Q2 2026, down 10.0% from $30 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Columbia Banking System (COLB) Provision for Losses (2011 - 2026) Analysis & Trends
On a TTM basis, Columbia Banking System's Provision for Losses came in at $148 million as of Jun 30, 2026, up 29.8% year-over-year; for FY2025, it came in at $150 million, up 41.5% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $106 million in FY2024 (-50.2%), $213 million in FY2023 (+153.5%), $84.02 million in FY2022 and -$42.65 million in FY2021.
- Quarterly Provision for Losses has ranged from -$36.35 million in Q4 2021 to $105.54 million in Q1 2023 over the past five years.
- On a year-over-year basis, Provision for Losses rose in three of the last eight quarters, with growth averaging 12.4%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 141.4% in Q3 2025, against a decline of 83.8% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $28 million (Q1 2026), $23 million (Q4 2025) and $70 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.30 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Columbia Banking System | 8.52 Bn | 534.03 Mn | - | 33.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.00 Mn |
| Jun 30, 2026 | 27.00 Mn |
| Mar 31, 2026 | 28.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 70.00 Mn |
| Jun 30, 2025 | 30.00 Mn |
| Mar 31, 2025 | 27.00 Mn |
| Dec 31, 2024 | 28.00 Mn |
| Sep 30, 2024 | 29.00 Mn |
| Jun 30, 2024 | 31.82 Mn |
| Mar 31, 2024 | 17.14 Mn |
| Dec 31, 2023 | 54.71 Mn |
| Sep 30, 2023 | 36.74 Mn |
| Jun 30, 2023 | 16.01 Mn |
| Mar 31, 2023 | 105.54 Mn |
| Dec 31, 2022 | 32.95 Mn |
| Sep 30, 2022 | 27.57 Mn |
| Jun 30, 2022 | 18.69 Mn |
| Mar 31, 2022 | 4.80 Mn |
| Dec 31, 2021 | -36.35 Mn |
API Access
Columbia Banking System Provision for Losses 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=provision-for-losses&ticker=COLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();