Orrstown Financial Services (ORRF) Enterprise Value (2010 - 2026)
Orrstown Financial Services' Enterprise Value was $803.12 million in Q2 2026, up 29.2% from $621.83 million a year earlier and up 13.5% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Enterprise Value (2010 - 2026) Analysis & Trends
For FY2025, Enterprise Value at Orrstown Financial Services came in at $690.95 million, up 27.9% from FY2024.
- Enterprise Value has now increased for three consecutive years, with a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $540.4 million in FY2024 (+72.6%), $313.07 million in FY2023 (+26.7%), $247.15 million in FY2022 (-12.3%) and $281.81 million in FY2021 (+52.0%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value in data going back to Q3 2010.
- Compared with a year earlier, Enterprise Value has increased for three straight quarters, with growth averaging 71.8% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2024 (growth of 212.4%); the worst was Q2 2023 (a decline of 21.2%).
- Per Business Quant data, ORRF's Enterprise Value in the three quarters before Q2 2026 was $707.58 million (Q1 2026), $690.95 million (Q4 2025) and $662.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | Orrstown Financial Services | 815.90 Mn | 815.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 803.12 Mn |
| Mar 31, 2026 | 707.58 Mn |
| Dec 31, 2025 | 690.95 Mn |
| Sep 30, 2025 | 662.64 Mn |
| Jun 30, 2025 | 621.83 Mn |
| Mar 31, 2025 | 585.48 Mn |
| Dec 31, 2024 | 540.40 Mn |
| Sep 30, 2024 | 696.67 Mn |
| Jun 30, 2024 | 293.31 Mn |
| Mar 31, 2024 | 286.57 Mn |
| Dec 31, 2023 | 313.07 Mn |
| Sep 30, 2023 | 222.98 Mn |
| Jun 30, 2023 | 203.21 Mn |
| Mar 31, 2023 | 212.34 Mn |
| Dec 31, 2022 | 247.15 Mn |
| Sep 30, 2022 | 255.61 Mn |
| Jun 30, 2022 | 258.03 Mn |
| Mar 31, 2022 | 254.04 Mn |
| Dec 31, 2021 | 281.81 Mn |
| Sep 30, 2021 | 262.20 Mn |
API Access
Orrstown Financial Services Enterprise Value 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=enterprise-value&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();