Orrstown Financial Services (ORRF) Other Operating Expenses (2010 - 2026)
Orrstown Financial Services (ORRF) posted Other Operating Expenses of $2.76 million for Q2 2026, up 3.5% from $2.66 million a year earlier and up 8.5% from the prior quarter.
Orrstown Financial Services (ORRF) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Orrstown Financial Services was $10.55 million, down 7.9% year-over-year; for FY2025, it came in at $10.85 million, up 24.6% from FY2024.
- Annual Other Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Orrstown Financial Services' Other Operating Expenses was $8.71 million in FY2024 (+42.7%), $6.1 million in FY2023 (+3.0%), $5.93 million in FY2022 (-1.6%) and $6.02 million in FY2021 (-9.6%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q1 2025.
- On a year-over-year basis, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 38.9%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2024, with growth of 126.4%; the weakest was Q3 2022, with a decline of 35.1%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $2.54 million (Q1 2026), $2.58 million (Q4 2025) and $2.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Orrstown Financial Services | 798.20 Mn | 798.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Mn |
| Mar 31, 2026 | 2.54 Mn |
| Dec 31, 2025 | 2.58 Mn |
| Sep 30, 2025 | 2.68 Mn |
| Jun 30, 2025 | 2.66 Mn |
| Mar 31, 2025 | 2.94 Mn |
| Dec 31, 2024 | 2.76 Mn |
| Sep 30, 2024 | 3.10 Mn |
| Jun 30, 2024 | 1.53 Mn |
| Mar 31, 2024 | 1.44 Mn |
| Dec 31, 2023 | 2.02 Mn |
| Sep 30, 2023 | 1.37 Mn |
| Jun 30, 2023 | 1.52 Mn |
| Mar 31, 2023 | 1.61 Mn |
| Dec 31, 2022 | 1.97 Mn |
| Sep 30, 2022 | 1.22 Mn |
| Jun 30, 2022 | 1.29 Mn |
| Mar 31, 2022 | 1.57 Mn |
| Dec 31, 2021 | 1.66 Mn |
| Sep 30, 2021 | 1.88 Mn |
Orrstown Financial Services Other Operating Expenses 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=other-operating-expenses&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();