Oceanfirst Financial (OCFC) Return on Sales [ROS] (2010 - 2026)
Oceanfirst Financial (OCFC) reported Return on Sales [ROS] of 2288.39% for Q2 2026, up 565.67 percentage points from 1722.72% a year earlier but down 758.37 percentage points from the prior quarter.
Oceanfirst Financial (OCFC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oceanfirst Financial's Return on Sales [ROS] came in at 2338.07%, up 628.44 percentage points year-over-year; for FY2025, it was 1933.78%, up 69.43 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +1106.80 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 1864.35% in FY2024 (+287.56 pp), 1576.79% in FY2023 (+593.70 pp), 983.09% in FY2022 (-123.94 pp) and 1107.03% in FY2021 (+280.04 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 566.50% in Q2 2022 and a high of 3046.77% in Q1 2026.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +258.10 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2025 (a gain of 1226.82 percentage points); the low point was Q2 2022 (a drop of 568.37 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 3046.77% (Q1 2026), 2790.10% (Q4 2025) and 1687.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Oceanfirst Financial | 1.17 Bn | 1.17 Bn | - | 65.74% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.74% |
| Mar 31, 2026 | 95.84% |
| Dec 31, 2025 | 89.12% |
| Sep 30, 2025 | 91.37% |
| Jun 30, 2025 | 92.63% |
| Mar 31, 2025 | 97.36% |
| Dec 31, 2024 | 108.35% |
| Sep 30, 2024 | 115.53% |
| Jun 30, 2024 | 116.55% |
| Mar 31, 2024 | 116.36% |
| Dec 31, 2023 | 109.30% |
| Sep 30, 2023 | 92.77% |
| Jun 30, 2023 | 93.89% |
| Mar 31, 2023 | 76.12% |
| Dec 31, 2022 | 70.47% |
| Sep 30, 2022 | 59.07% |
| Jun 30, 2022 | 47.84% |
| Mar 31, 2022 | 43.50% |
| Dec 31, 2021 | 38.45% |
| Sep 30, 2021 | 45.75% |
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();