Orrstown Financial Services (ORRF) Shares Outstanding (2010 - 2026)
Orrstown Financial Services' Shares Outstanding came in at 19.31 million for Q2 2026, up 0.7% from 19.17 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Orrstown Financial Services' Shares Outstanding was 19.2 million, up 30.1% from FY2024.
- Shares Outstanding carries a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 14.76 million in FY2024 (+42.8%), 10.34 million in FY2023 (-2.0%), 10.55 million in FY2022 (-3.8%) and 10.97 million in FY2021 (+0.2%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q3 2010.
- Year-over-year, Shares Outstanding has increased for nine consecutive quarters, with growth averaging 41.2% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q1 2025 (growth of 85.1%), and the weakest in Q3 2022 (a decline of 5.6%).
- Business Quant data shows ORRF's Shares Outstanding at 19.27 million (Q1 2026), 19.2 million (Q4 2025) and 19.22 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Orrstown Financial Services | 798.20 Mn | 798.20 Mn | - | 19.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.31 Mn |
| Mar 31, 2026 | 19.27 Mn |
| Dec 31, 2025 | 19.20 Mn |
| Sep 30, 2025 | 19.22 Mn |
| Jun 30, 2025 | 19.17 Mn |
| Mar 31, 2025 | 19.16 Mn |
| Dec 31, 2024 | 14.76 Mn |
| Sep 30, 2024 | 19.09 Mn |
| Jun 30, 2024 | 10.39 Mn |
| Mar 31, 2024 | 10.35 Mn |
| Dec 31, 2023 | 10.34 Mn |
| Sep 30, 2023 | 10.32 Mn |
| Jun 30, 2023 | 10.34 Mn |
| Mar 31, 2023 | 10.39 Mn |
| Dec 31, 2022 | 10.55 Mn |
| Sep 30, 2022 | 10.37 Mn |
| Jun 30, 2022 | 10.61 Mn |
| Mar 31, 2022 | 10.86 Mn |
| Dec 31, 2021 | 10.97 Mn |
| Sep 30, 2021 | 10.98 Mn |
API Access
Orrstown Financial Services Shares Outstanding 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&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();