Columbia Financial (CLBK) Return on Sales [ROS] (2016 - 2026)
Columbia Financial (CLBK) posted Return on Sales [ROS] of 831.63% for Q1 2026, down 66.43 percentage points from 898.05% a year earlier and down 1.60 percentage points from the prior quarter.
Columbia Financial (CLBK) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Return on Sales [ROS] at Columbia Financial was 863.71%, up 27.08 percentage points year-over-year; for FY2025, it came in at 877.65%, up 32.89 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +417.69 percentage points (FY2020 to FY2025).
- In prior years, Columbia Financial's Return on Sales [ROS] was 844.76% in FY2024 (+97.01 pp), 747.75% in FY2023 (+291.87 pp), 455.88% in FY2022 (-10.63 pp) and 466.52% in FY2021 (+6.55 pp).
- The Q1 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +12.78 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 440.54 percentage points; the weakest was Q4 2024, with a drop of 498.06 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 833.22% (Q4 2025), 914.30% (Q3 2025) and 878.85% (Q2 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 Financial | 1.19 Bn | 41.15 Mn | - | 831.63% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 831.63% |
| Dec 31, 2025 | 833.22% |
| Sep 30, 2025 | 914.30% |
| Jun 30, 2025 | 878.85% |
| Mar 31, 2025 | 898.05% |
| Dec 31, 2024 | 511.87% |
| Sep 30, 2024 | 967.81% |
| Jun 30, 2024 | 967.90% |
| Mar 31, 2024 | 945.75% |
| Dec 31, 2023 | 1,009.93% |
| Sep 30, 2023 | 867.31% |
| Jun 30, 2023 | 532.74% |
| Mar 31, 2023 | 663.68% |
| Dec 31, 2022 | 596.55% |
| Sep 30, 2022 | 426.77% |
| Jun 30, 2022 | 404.40% |
| Mar 31, 2022 | 403.66% |
| Dec 31, 2021 | 428.06% |
| Sep 30, 2021 | 429.73% |
| Jun 30, 2021 | 537.68% |
Columbia Financial 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=CLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CLBK", "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=CLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();