Oceanfirst Financial (OCFC) Professional Fees (2010 - 2026)
Oceanfirst Financial (OCFC) recorded Professional Fees of $3.6 million in Q3 2026, up 3.7% from $3.47 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Oceanfirst Financial (OCFC) Professional Fees (2010 - 2026) Analysis & Trends
On a TTM basis, Oceanfirst Financial's Professional Fees came in at $15.09 million as of Sep 30, 2026, up 17.4% year-over-year; for FY2025, it came in at $15.09 million, up 59.1% from FY2024.
- Annual Professional Fees has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Professional Fees came in at $9.48 million in FY2024 (-48.2%), $18.3 million in FY2023 (+40.8%), $12.99 million in FY2022 (+17.7%) and $11.04 million in FY2021 (-9.8%).
- Quarterly Professional Fees has ranged from $1.97 million in Q3 2024 to $5.26 million in Q3 2023 over the past five years.
- On a year-over-year basis, Professional Fees rose in five of the last eight quarters, with growth averaging 32.2%.
- Peak year-over-year performance for Professional Fees in the last five years was growth of 110.2% in Q3 2023, against a decline of 62.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.41 million (Q2 2026), $3.22 million (Q1 2026) and $4.86 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Oceanfirst Financial | 1.27 Bn | 1.27 Bn | - | 3.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.41 Mn |
| Mar 31, 2026 | 3.22 Mn |
| Dec 31, 2025 | 4.86 Mn |
| Sep 30, 2025 | 3.47 Mn |
| Jun 30, 2025 | 4.34 Mn |
| Mar 31, 2025 | 2.43 Mn |
| Dec 31, 2024 | 2.62 Mn |
| Sep 30, 2024 | 1.97 Mn |
| Jun 30, 2024 | 2.16 Mn |
| Mar 31, 2024 | 2.73 Mn |
| Dec 31, 2023 | 2.86 Mn |
| Sep 30, 2023 | 5.26 Mn |
| Jun 30, 2023 | 5.08 Mn |
| Mar 31, 2023 | 5.10 Mn |
| Dec 31, 2022 | 4.70 Mn |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | 2.47 Mn |
| Mar 31, 2022 | 3.32 Mn |
| Dec 31, 2021 | 2.73 Mn |
| Sep 30, 2021 | 3.09 Mn |
API Access
Oceanfirst Financial Professional Fees 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=professional-fees&ticker=OCFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=OCFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();