Orrstown Financial Services (ORRF) Net Income (2009 - 2026)
Orrstown Financial Services' Net Income was $21.16 million in Q2 2026, up 8.8% from $19.45 million a year earlier but down 3.0% from the prior quarter.
Orrstown Financial Services (ORRF) Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Orrstown Financial Services' Net Income was $86.32 million through Jun 30, 2026, up 99.5% year-over-year; for FY2025, it came in at $80.86 million, up 266.7% from FY2024.
- Net Income shows a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In earlier years, Net Income was $22.05 million in FY2024 (-38.2%), $35.66 million in FY2023 (+61.8%), $22.04 million in FY2022 (-33.0%) and $32.88 million in FY2021 (+24.3%).
- Quarterly Net Income has moved between -$7.9 million (Q3 2024) and $21.87 million (Q3 2025) over five years.
- Compared with a year earlier, Net Income has increased for three straight quarters, with growth averaging 71.4% over the last six quarters.
- The best year-over-year quarter for Net Income over five years was Q2 2025 (growth of 151.3%); the worst was Q4 2021 (a decline of 33.3%).
- Per Business Quant data, ORRF's Net Income in the three quarters before Q2 2026 was $21.81 million (Q1 2026), $21.49 million (Q4 2025) and $21.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 7.57 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.95 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | Orrstown Financial Services | 871.80 Mn | 290.40 Mn | - | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.82 Mn |
| Jun 30, 2026 | 21.16 Mn |
| Mar 31, 2026 | 21.81 Mn |
| Dec 31, 2025 | 21.49 Mn |
| Sep 30, 2025 | 21.87 Mn |
| Jun 30, 2025 | 19.45 Mn |
| Mar 31, 2025 | 18.05 Mn |
| Dec 31, 2024 | 13.68 Mn |
| Sep 30, 2024 | -7.90 Mn |
| Jun 30, 2024 | 7.74 Mn |
| Mar 31, 2024 | 8.53 Mn |
| Dec 31, 2023 | 7.64 Mn |
| Sep 30, 2023 | 9.03 Mn |
| Jun 30, 2023 | 9.84 Mn |
| Mar 31, 2023 | 9.16 Mn |
| Dec 31, 2022 | 9.63 Mn |
| Sep 30, 2022 | -4.83 Mn |
| Jun 30, 2022 | 8.87 Mn |
| Mar 31, 2022 | 8.37 Mn |
| Dec 31, 2021 | 6.71 Mn |
Orrstown Financial Services Net Income 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=net-income&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();