Orrstown Financial Services (ORRF) Revenue (2010 - 2026)
Orrstown Financial Services (ORRF) posted Revenue of $62.67 million for Q2 2026, up 0.4% from $62.43 million a year earlier but down 3.0% from the prior quarter.
Orrstown Financial Services (ORRF) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Orrstown Financial Services was $256.54 million, up 3.1% year-over-year; for FY2025, it came in at $252.11 million, up 30.8% from FY2024.
- Annual Revenue has increased for 12 consecutive years, with a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In prior years, Orrstown Financial Services' Revenue was $192.69 million in FY2024 (+47.6%), $130.56 million in FY2023 (+3.1%), $126.58 million in FY2022 (+9.0%) and $116.13 million in FY2021 (+3.8%).
- Quarterly Revenue has run from a low of $28.27 million in Q3 2021 to a high of $64.92 million in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last eight quarters, with growth averaging 46.3% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2024, with growth of 99.4%; the weakest was Q4 2023, with a decline of 3.6%.
- According to Business Quant data, Revenue for the three prior quarters was $64.58 million (Q1 2026), $64.92 million (Q4 2025) and $64.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 13.30 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 22.62 Bn |
| 10 | Orrstown Financial Services | 803.90 Mn | 803.90 Mn | - | 62.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.67 Mn |
| Mar 31, 2026 | 64.58 Mn |
| Dec 31, 2025 | 64.92 Mn |
| Sep 30, 2025 | 64.37 Mn |
| Jun 30, 2025 | 62.43 Mn |
| Mar 31, 2025 | 60.39 Mn |
| Dec 31, 2024 | 61.82 Mn |
| Sep 30, 2024 | 64.08 Mn |
| Jun 30, 2024 | 33.28 Mn |
| Mar 31, 2024 | 33.51 Mn |
| Dec 31, 2023 | 32.51 Mn |
| Sep 30, 2023 | 32.14 Mn |
| Jun 30, 2023 | 33.53 Mn |
| Mar 31, 2023 | 32.37 Mn |
| Dec 31, 2022 | 33.71 Mn |
| Sep 30, 2022 | 31.51 Mn |
| Jun 30, 2022 | 31.31 Mn |
| Mar 31, 2022 | 30.05 Mn |
| Dec 31, 2021 | 29.89 Mn |
| Sep 30, 2021 | 28.27 Mn |
Orrstown Financial Services Revenue 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=revenue&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();