Orrstown Financial Services (ORRF) Accumulated Expenses (2010 - 2026)
Orrstown Financial Services' Accumulated Expenses was $80.07 million in Q2 2026, down 8.1% from $87.17 million a year earlier and down 3.7% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Orrstown Financial Services came in at $85.58 million, down 6.9% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $91.9 million in FY2024 (+50.7%), $60.99 million in FY2023 (-1.4%), $61.85 million in FY2022 (+51.5%) and $40.82 million in FY2021 (+7.3%).
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q2 2024.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 24.6%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2022 (growth of 95.5%); the worst was Q3 2023 (a decline of 22.4%).
- Per Business Quant data, ORRF's Accumulated Expenses in the three quarters before Q2 2026 was $83.13 million (Q1 2026), $85.58 million (Q4 2025) and $86.05 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.07 Mn |
| Mar 31, 2026 | 83.13 Mn |
| Dec 31, 2025 | 85.58 Mn |
| Sep 30, 2025 | 86.05 Mn |
| Jun 30, 2025 | 87.17 Mn |
| Mar 31, 2025 | 82.60 Mn |
| Dec 31, 2024 | 91.90 Mn |
| Sep 30, 2024 | 97.71 Mn |
| Jun 30, 2024 | 55.77 Mn |
| Mar 31, 2024 | 56.49 Mn |
| Dec 31, 2023 | 60.99 Mn |
| Sep 30, 2023 | 57.60 Mn |
| Jun 30, 2023 | 55.41 Mn |
| Mar 31, 2023 | 47.40 Mn |
| Dec 31, 2022 | 61.85 Mn |
| Sep 30, 2022 | 74.22 Mn |
| Jun 30, 2022 | 50.10 Mn |
| Mar 31, 2022 | 41.35 Mn |
| Dec 31, 2021 | 40.82 Mn |
| Sep 30, 2021 | 37.96 Mn |
API Access
Orrstown Financial Services Accumulated 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=accumulated-expenses&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();