Orrstown Financial Services (ORRF) Shares Outstanding (Entity) (2010 - 2026)
Orrstown Financial Services' Shares Outstanding (Entity) was 19.67 million in Q2 2026, up 0.7% from 19.54 million a year earlier and up 0.3% from the prior quarter.
Orrstown Financial Services (ORRF) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Orrstown Financial Services came in at 19.51 million, up 32.2% from FY2024.
- Shares Outstanding (Entity) shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 14.76 million in FY2024 (+39.1%), 10.61 million in FY2023 (-0.6%), 10.67 million in FY2022 (-4.6%) and 11.18 million in FY2021 (-0.2%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Entity) in data going back to Q3 2010.
- Compared with a year earlier, Shares Outstanding (Entity) has increased for ten straight quarters, with growth averaging 40.0% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Entity) over five years was Q3 2024 (growth of 82.5%); the worst was Q2 2022 (a decline of 5.2%).
- Per Business Quant data, ORRF's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 19.61 million (Q1 2026), 19.51 million (Q4 2025) and 19.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 12.56 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.02 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 291.44 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.03 Bn |
| 10 | Orrstown Financial Services | 798.20 Mn | 798.20 Mn | - | 19.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.67 Mn |
| Mar 31, 2026 | 19.61 Mn |
| Dec 31, 2025 | 19.51 Mn |
| Sep 30, 2025 | 19.50 Mn |
| Jun 30, 2025 | 19.54 Mn |
| Mar 31, 2025 | 19.51 Mn |
| Dec 31, 2024 | 14.76 Mn |
| Sep 30, 2024 | 19.37 Mn |
| Jun 30, 2024 | 10.72 Mn |
| Mar 31, 2024 | 10.71 Mn |
| Dec 31, 2023 | 10.61 Mn |
| Sep 30, 2023 | 10.61 Mn |
| Jun 30, 2023 | 10.61 Mn |
| Mar 31, 2023 | 10.69 Mn |
| Dec 31, 2022 | 10.67 Mn |
| Sep 30, 2022 | 10.69 Mn |
| Jun 30, 2022 | 10.68 Mn |
| Mar 31, 2022 | 11.08 Mn |
| Dec 31, 2021 | 11.18 Mn |
| Sep 30, 2021 | 11.21 Mn |
Orrstown Financial Services Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();