Oceanfirst Financial (OCFC) Return on Sales [ROS] (2009 - 2026)
Oceanfirst Financial (OCFC) reported Return on Sales [ROS] of 65.74% for Q2 2026, down 26.88 percentage points from 92.63% a year earlier and down 30.09 percentage points from the prior quarter.
Oceanfirst Financial (OCFC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oceanfirst Financial's Return on Sales [ROS] came in at 84.27%, down 19.10 percentage points year-over-year; for FY2025, it was 92.55%, down 21.66 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +54.37 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 114.20% in FY2024 (+21.23 pp), 92.97% in FY2023 (+36.25 pp), 56.72% in FY2022 (+6.62 pp) and 50.10% in FY2021 (+11.92 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q3 2022.
- Year over year, Return on Sales [ROS] has now declined in each of the last seven quarters, with an average year-over-year change of -11.61 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 46.05 percentage points); the low point was Q2 2026 (a drop of 26.88 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 95.84% (Q1 2026), 89.12% (Q4 2025) and 91.37% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Oceanfirst Financial | 1.75 Bn | 1.75 Bn | - | -0.13% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.13% |
| Jun 30, 2026 | 0.92% |
| Mar 31, 2026 | -0.16% |
| Dec 31, 2025 | -0.01% |
| Sep 30, 2025 | 0.00% |
| Jun 30, 2025 | -0.26% |
| Mar 31, 2025 | -0.02% |
| Dec 31, 2024 | -0.02% |
| Sep 30, 2024 | 28.06% |
| Jun 30, 2024 | 51.72% |
| Mar 31, 2024 | 74.37% |
| Dec 31, 2023 | 109.30% |
| Sep 30, 2023 | 92.77% |
| Jun 30, 2023 | 93.89% |
| Mar 31, 2023 | 0.01% |
| Dec 31, 2022 | 0.01% |
| Sep 30, 2022 | 0.01% |
| Jun 30, 2022 | 0.05% |
| Mar 31, 2022 | 0.00% |
| Dec 31, 2021 | 0.00% |
Oceanfirst 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=OCFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OCFC", "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=OCFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();