Orrstown Financial Services (ORRF) EBITDA Margin (2010 - 2026)
Orrstown Financial Services (ORRF) reported EBITDA Margin of 86.19% for Q2 2026, up 0.21 percentage points from 85.98% a year earlier but down 1.15 percentage points from the prior quarter.
Orrstown Financial Services (ORRF) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orrstown Financial Services' EBITDA Margin came in at 87.64%, up 14.08 percentage points year-over-year; for FY2025, it was 88.00%, up 19.92 percentage points from FY2024.
- EBITDA Margin has a five-year change of +38.76 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at 68.08% in FY2024 (-4.20 pp), 72.28% in FY2023 (+40.47 pp), 31.81% in FY2022 (-13.77 pp) and 45.57% in FY2021 (-3.67 pp).
- Five-year quarterly EBITDA Margin spans a low of -10.39% in Q3 2022 and a high of 89.39% in Q3 2025.
- Year over year, EBITDA Margin gained in six of the last eight quarters, with an average year-over-year change of +3.66 percentage points.
- The high point for year-over-year EBITDA Margin in five years was Q3 2023 (a gain of 88.51 percentage points); the low point was Q3 2022 (a drop of 52.00 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 87.34% (Q1 2026), 87.60% (Q4 2025) and 89.39% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 92.35% |
| 10 | Orrstown Financial Services | 815.90 Mn | 815.90 Mn | - | 86.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.19% |
| Mar 31, 2026 | 87.34% |
| Dec 31, 2025 | 87.60% |
| Sep 30, 2025 | 89.39% |
| Jun 30, 2025 | 85.98% |
| Mar 31, 2025 | 89.04% |
| Dec 31, 2024 | 81.65% |
| Sep 30, 2024 | 39.09% |
| Jun 30, 2024 | 84.35% |
| Mar 31, 2024 | 82.32% |
| Dec 31, 2023 | 76.46% |
| Sep 30, 2023 | 78.13% |
| Jun 30, 2023 | 71.46% |
| Mar 31, 2023 | 63.12% |
| Dec 31, 2022 | 52.16% |
| Sep 30, 2022 | -10.39% |
| Jun 30, 2022 | 41.96% |
| Mar 31, 2022 | 42.63% |
| Dec 31, 2021 | 37.18% |
| Sep 30, 2021 | 41.61% |
Orrstown Financial Services EBITDA Margin 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=ebitda-margin&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();