Columbia Banking System (COLB) Return on Sales [ROS] (2010 - 2026)
Columbia Banking System's Return on Sales [ROS] was 901.82% in Q2 2026, down 165.68 percentage points from 1067.50% a year earlier and down 52.18 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 897.56% through Jun 30, 2026, down 187.50 percentage points year-over-year; for FY2025, it came in at 927.12%, down 251.40 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +892.37 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 1178.52% in FY2024 (+270.31 pp), 908.21% in FY2023 (+292.33 pp), 615.88% in FY2022 (-104.97 pp) and 720.85% in FY2021 (+686.10 pp).
- Quarterly Return on Sales [ROS] has moved between 43.76% (Q3 2021) and 1275.34% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -115.24 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 972.33 percentage points); the worst was Q3 2025 (a drop of 437.02 percentage points).
- Per Business Quant data, COLB's Return on Sales [ROS] in the three quarters before Q2 2026 was 954.00% (Q1 2026), 932.73% (Q4 2025) and 786.67% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Columbia Banking System | 8.18 Bn | -411.93 Mn | - | 901.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 901.82% |
| Mar 31, 2026 | 954.00% |
| Dec 31, 2025 | 932.73% |
| Sep 30, 2025 | 786.67% |
| Jun 30, 2025 | 1,067.50% |
| Mar 31, 2025 | 937.84% |
| Dec 31, 2024 | 1,107.69% |
| Sep 30, 2024 | 1,223.68% |
| Jun 30, 2024 | 1,112.43% |
| Mar 31, 2024 | 1,275.34% |
| Dec 31, 2023 | 1,051.72% |
| Sep 30, 2023 | 1,057.67% |
| Jun 30, 2023 | 1,077.97% |
| Mar 31, 2023 | 303.01% |
| Dec 31, 2022 | 751.60% |
| Sep 30, 2022 | 585.27% |
| Jun 30, 2022 | 501.91% |
| Mar 31, 2022 | 633.80% |
| Dec 31, 2021 | 47.82% |
| Sep 30, 2021 | 43.76% |
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();