Orange County Bancorp (OBT) Shares Outstanding (2020 - 2026)
Orange County Bancorp (OBT) posted Shares Outstanding of 13.38 million for Q2 2026, up 11.6% from 11.99 million a year earlier and up 0.2% from the prior quarter.
Orange County Bancorp (OBT) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Orange County Bancorp's Shares Outstanding came in at 12.51 million, up 10.7% from FY2024.
- Annual Shares Outstanding has increased for five consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, Orange County Bancorp's Shares Outstanding was 11.3 million in FY2024 (+0.4%), 11.26 million in FY2023 (+0.1%), 11.24 million in FY2022 (+13.1%) and 9.94 million in FY2021 (+10.2%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q2 2020.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 13 quarters, with growth averaging 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2022, with growth of 25.7%; the weakest was Q1 2023, with a decline of 0.2%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 13.35 million (Q1 2026), 12.51 million (Q4 2025) and 13.34 million (Q3 2025).
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 | Orange County Bancorp | 495.42 Mn | 495.42 Mn | - | 13.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.38 Mn |
| Mar 31, 2026 | 13.35 Mn |
| Dec 31, 2025 | 12.51 Mn |
| Sep 30, 2025 | 13.34 Mn |
| Jun 30, 2025 | 11.99 Mn |
| Mar 31, 2025 | 11.33 Mn |
| Dec 31, 2024 | 11.30 Mn |
| Sep 30, 2024 | 11.31 Mn |
| Jun 30, 2024 | 11.28 Mn |
| Mar 31, 2024 | 11.27 Mn |
| Dec 31, 2023 | 11.26 Mn |
| Sep 30, 2023 | 11.26 Mn |
| Jun 30, 2023 | 11.26 Mn |
| Mar 31, 2023 | 11.25 Mn |
| Dec 31, 2022 | 11.24 Mn |
| Sep 30, 2022 | 11.25 Mn |
| Jun 30, 2022 | 11.24 Mn |
| Mar 31, 2022 | 11.27 Mn |
| Dec 31, 2021 | 9.94 Mn |
| Sep 30, 2021 | 10.50 Mn |
Orange County Bancorp 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=OBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "OBT", "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=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();