Orrstown Financial Services (ORRF) Professional Fees (2010 - 2026)
Orrstown Financial Services (ORRF) recorded Professional Fees of $1.02 million in Q3 2026, down 40.4% from $1.7 million a year earlier and down 15.6% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Professional Fees (2010 - 2026) Analysis & Trends
On a TTM basis, Orrstown Financial Services' Professional Fees came in at $5.39 million as of Sep 30, 2026, down 24.5% year-over-year; for FY2025, it came in at $7.49 million, up 80.9% from FY2024.
- Annual Professional Fees has a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- Across earlier years, Professional Fees came in at $4.14 million in FY2024 (+42.6%), $2.91 million in FY2023 (-10.7%), $3.25 million in FY2022 (+27.4%) and $2.56 million in FY2021 (-18.1%).
- The Q3 2026 figure is the lowest quarterly Professional Fees since Q2 2024.
- On a year-over-year basis, Professional Fees has declined for three consecutive quarters, with growth averaging 53.5% over the last eight quarters.
- Peak year-over-year performance for Professional Fees in the last five years was growth of 189.4% in Q1 2025, against a decline of 40.4% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.2 million (Q2 2026), $1.22 million (Q1 2026) and $1.95 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 | Orrstown Financial Services | 856.82 Mn | 856.82 Mn | - | 1.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 1.22 Mn |
| Dec 31, 2025 | 1.95 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 2.02 Mn |
| Mar 31, 2025 | 1.83 Mn |
| Dec 31, 2024 | 1.59 Mn |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 801,000.00 |
| Mar 31, 2024 | 631,000.00 |
| Dec 31, 2023 | 702,000.00 |
| Sep 30, 2023 | 965,000.00 |
| Jun 30, 2023 | 504,000.00 |
| Mar 31, 2023 | 734,000.00 |
| Dec 31, 2022 | 837,000.00 |
| Sep 30, 2022 | 887,000.00 |
| Jun 30, 2022 | 722,000.00 |
| Mar 31, 2022 | 808,000.00 |
| Dec 31, 2021 | 693,000.00 |
| Sep 30, 2021 | 562,000.00 |
API Access
Orrstown Financial Services 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=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "ORRF", "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=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();