Oceanfirst Financial (OCFC) Occupancy Expense (2010 - 2026)
Oceanfirst Financial (OCFC) posted Occupancy Expense of $10.98 million for Q3 2026, up 80.0% from $6.1 million a year earlier and up 49.7% from the prior quarter.
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Analysis
Oceanfirst Financial (OCFC) Occupancy Expense (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Occupancy Expense at Oceanfirst Financial was $29.97 million, up 34.2% year-over-year; for FY2025, it came in at $22.87 million, up 9.9% from FY2024.
- Annual Occupancy Expense shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior years, Oceanfirst Financial's Occupancy Expense was $20.81 million in FY2024 (-1.8%), $21.19 million in FY2023 (+1.8%), $20.82 million in FY2022 (+1.6%) and $20.48 million in FY2021 (-1.4%).
- The Q3 2026 figure stands as the highest quarterly Occupancy Expense in data going back to Q2 2010.
- On a year-over-year basis, Occupancy Expense has increased in each of the last eight quarters, with growth averaging 20.2% over the last eight quarters.
- The strongest year-over-year quarter for Occupancy Expense in the past five years was Q3 2026, with growth of 80.0%; the weakest was Q2 2022, with a decline of 10.5%.
- According to Business Quant data, Occupancy Expense for the three prior quarters was $7.33 million (Q2 2026), $5.83 million (Q1 2026) and $5.83 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Oceanfirst Financial | 1.27 Bn | 1.27 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.33 Mn |
| Mar 31, 2026 | 5.83 Mn |
| Dec 31, 2025 | 5.83 Mn |
| Sep 30, 2025 | 6.10 Mn |
| Jun 30, 2025 | 5.45 Mn |
| Mar 31, 2025 | 5.50 Mn |
| Dec 31, 2024 | 5.28 Mn |
| Sep 30, 2024 | 5.16 Mn |
| Jun 30, 2024 | 5.18 Mn |
| Mar 31, 2024 | 5.20 Mn |
| Dec 31, 2023 | 5.22 Mn |
| Sep 30, 2023 | 5.47 Mn |
| Jun 30, 2023 | 5.27 Mn |
| Mar 31, 2023 | 5.24 Mn |
| Dec 31, 2022 | 5.03 Mn |
| Sep 30, 2022 | 5.29 Mn |
| Jun 30, 2022 | 4.76 Mn |
| Mar 31, 2022 | 5.74 Mn |
| Dec 31, 2021 | 5.10 Mn |
| Sep 30, 2021 | 5.01 Mn |
API Access
Oceanfirst Financial Occupancy Expense 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=occupancy-expense&ticker=OCFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=OCFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();