Orange County Bancorp (OBT) Price to Earnings (2021 - 2026)
Orange County Bancorp's (OBT) Price to Earnings came in at 10.41 for Q2 2026, down 11.0% from 11.69 a year earlier but up 7.2% from the prior quarter.
Analysis
Orange County Bancorp (OBT) Price to Earnings (2021 - 2026) Analysis & Trends
For FY2025, Orange County Bancorp's Price to Earnings stood at 9.17, down 18.9% from FY2024.
- In prior years, Orange County Bancorp's Price to Earnings was 11.31 in FY2024 (-2.1%), 11.55 in FY2023 (+7.0%), 10.79 in FY2022 (+1.3%) and 10.65 in FY2021 (+1.8%).
- Quarterly Price to Earnings has run from a low of 7.14 in Q2 2023 to a high of 11.87 in Q3 2024 over five years.
- On a year-over-year basis, Price to Earnings has declined in each of the last four quarters, with growth averaging 7.8% over the last eight quarters.
- The strongest year-over-year quarter for Price to Earnings in the past five years was Q3 2024, with growth of 48.0%; the weakest was Q2 2023, with a decline of 38.2%.
- According to Business Quant data, Price to Earnings for the three prior quarters was 9.70 (Q1 2026), 9.17 (Q4 2025) and 9.27 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Orange County Bancorp | 505.88 Mn | 505.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.41 |
| Mar 31, 2026 | 9.70 |
| Dec 31, 2025 | 9.17 |
| Sep 30, 2025 | 9.27 |
| Jun 30, 2025 | 11.69 |
| Mar 31, 2025 | 9.75 |
| Dec 31, 2024 | 11.31 |
| Sep 30, 2024 | 11.87 |
| Jun 30, 2024 | 8.64 |
| Mar 31, 2024 | 7.32 |
| Dec 31, 2023 | 11.55 |
| Sep 30, 2023 | 8.02 |
| Jun 30, 2023 | 7.14 |
| Mar 31, 2023 | 11.15 |
| Dec 31, 2022 | 10.79 |
| Sep 30, 2022 | 10.45 |
| Jun 30, 2022 | 11.56 |
| Mar 31, 2022 | 10.44 |
| Dec 31, 2021 | 10.65 |
| Sep 30, 2021 | 10.32 |
API Access
Orange County Bancorp Price to Earnings 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=price-to-earnings&ticker=OBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();