Orrstown Financial Services (ORRF) EBIT (2010 - 2026)
Orrstown Financial Services (ORRF) recorded EBIT of $50.53 million in Q2 2026, up 1.0% from $50.03 million a year earlier but down 4.4% from the prior quarter.
Orrstown Financial Services (ORRF) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Orrstown Financial Services' EBIT came in at $210.43 million as of Jun 30, 2026, up 25.6% year-over-year; for FY2025, it was $206.58 million, up 70.0% from FY2024.
- Annual EBIT has increased for three straight years, with a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $121.49 million in FY2024 (+34.9%), $90.02 million in FY2023 (+152.6%), $35.64 million in FY2022 (-25.2%) and $47.62 million in FY2021 (-1.9%).
- Quarterly EBIT has ranged from -$4.44 million in Q3 2022 to $53.81 million in Q3 2025 over the past five years.
- On a year-over-year basis, EBIT has increased for seven consecutive quarters, with growth averaging 53.9% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 151.5% in Q3 2025, against a decline of 35.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $52.86 million (Q1 2026), $53.22 million (Q4 2025) and $53.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 19.01 Bn |
| 10 | Orrstown Financial Services | 815.90 Mn | 815.90 Mn | - | 50.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.53 Mn |
| Mar 31, 2026 | 52.86 Mn |
| Dec 31, 2025 | 53.22 Mn |
| Sep 30, 2025 | 53.81 Mn |
| Jun 30, 2025 | 50.03 Mn |
| Mar 31, 2025 | 49.52 Mn |
| Dec 31, 2024 | 46.58 Mn |
| Sep 30, 2024 | 21.39 Mn |
| Jun 30, 2024 | 27.00 Mn |
| Mar 31, 2024 | 26.51 Mn |
| Dec 31, 2023 | 23.71 Mn |
| Sep 30, 2023 | 24.03 Mn |
| Jun 30, 2023 | 22.91 Mn |
| Mar 31, 2023 | 19.37 Mn |
| Dec 31, 2022 | 16.50 Mn |
| Sep 30, 2022 | -4.44 Mn |
| Jun 30, 2022 | 11.98 Mn |
| Mar 31, 2022 | 11.60 Mn |
| Dec 31, 2021 | 9.82 Mn |
| Sep 30, 2021 | 10.44 Mn |
Orrstown Financial Services EBIT 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=ebit&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();