Columbia Banking System (COLB) Return on Sales [ROS] (2010 - 2026)
Columbia Banking System's Return on Sales [ROS] was 73.26% in Q2 2026, down 10.30 percentage points from 83.56% a year earlier but up 2.81 percentage points from the prior quarter.
Columbia Banking System (COLB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbia Banking System's Return on Sales [ROS] was 69.36% through Jun 30, 2026, down 14.83 percentage points year-over-year; for FY2025, it came in at 71.32%, down 19.71 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +36.57 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 91.03% in FY2024 (+30.09 pp), 60.94% in FY2023 (+19.31 pp), 41.64% in FY2022 (-5.43 pp) and 47.07% in FY2021 (+12.32 pp).
- Quarterly Return on Sales [ROS] has moved between 19.17% (Q1 2023) and 93.75% (Q3 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -6.49 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 71.58 percentage points); the worst was Q3 2025 (a drop of 32.93 percentage points).
- Per Business Quant data, COLB's Return on Sales [ROS] in the three quarters before Q2 2026 was 70.46% (Q1 2026), 71.55% (Q4 2025) and 60.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 916.79 Bn | 916.79 Bn | - | 91.99% |
| 2 | Bank Of America | 362.89 Bn | -2,013.22 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 313.65 Bn | -1,789.94 Bn | - | 48.15% |
| 4 | Morgan Stanley | 293.12 Bn | -250.91 Bn | - | 95.47% |
| 5 | Royal Bank Of Canada | 287.35 Bn | -542.69 Bn | - | 138.04% |
| 6 | Goldman Sachs | 268.91 Bn | -3,474.54 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 259.27 Bn | 259.27 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 247.03 Bn | -94.36 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 219.06 Bn | 18.54 Bn | - | 32.15% |
| 10 | Columbia Banking System | 8.69 Bn | 705.75 Mn | - | 73.24% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 73.24% |
| Jun 30, 2026 | 73.26% |
| Mar 31, 2026 | 70.46% |
| Dec 31, 2025 | 71.55% |
| Sep 30, 2025 | 60.82% |
| Jun 30, 2025 | 83.56% |
| Mar 31, 2025 | 70.67% |
| Dec 31, 2024 | 88.71% |
| Sep 30, 2024 | 93.75% |
| Jun 30, 2024 | 90.90% |
| Mar 31, 2024 | 90.76% |
| Dec 31, 2023 | 70.30% |
| Sep 30, 2023 | 76.04% |
| Jun 30, 2023 | 70.82% |
| Mar 31, 2023 | 19.17% |
| Dec 31, 2022 | 46.77% |
| Sep 30, 2022 | 40.19% |
| Jun 30, 2022 | 37.33% |
| Mar 31, 2022 | 41.68% |
| Dec 31, 2021 | 47.82% |
Columbia Banking System Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=COLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();