Orange County Bancorp (OBT) EBT (2020 - 2026)
Orange County Bancorp (OBT) posted EBT of $11.56 million for Q2 2026, down 14.9% from $13.59 million a year earlier and down 20.8% from the prior quarter.
Orange County Bancorp (OBT) EBT (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Orange County Bancorp was $52.83 million, up 39.6% year-over-year; for FY2025, it came in at $51.56 million, up 48.1% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- In prior years, Orange County Bancorp's EBT was $34.82 million in FY2024 (-6.3%), $37.15 million in FY2023 (+22.7%), $30.28 million in FY2022 (+13.5%) and $26.68 million in FY2021 (+83.8%).
- The Q2 2026 figure stands as the lowest quarterly EBT since Q1 2025.
- On a year-over-year basis, EBT increased in four of the last eight quarters, with growth averaging 30.1%.
- The strongest year-over-year quarter for EBT in the past five years was Q2 2023, with growth of 347.3%; the weakest was Q3 2024, with a decline of 64.5%.
- According to Business Quant data, EBT for the three prior quarters was $14.59 million (Q1 2026), $13.66 million (Q4 2025) and $13.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 279.77 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 11.57 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 7.35 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 5.56 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 7.02 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 8.56 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 8.05 Bn |
| 10 | Orange County Bancorp | 505.21 Mn | 505.21 Mn | - | 11.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.56 Mn |
| Mar 31, 2026 | 14.59 Mn |
| Dec 31, 2025 | 13.66 Mn |
| Sep 30, 2025 | 13.02 Mn |
| Jun 30, 2025 | 13.59 Mn |
| Mar 31, 2025 | 11.29 Mn |
| Dec 31, 2024 | 8.97 Mn |
| Sep 30, 2024 | 4.00 Mn |
| Jun 30, 2024 | 10.23 Mn |
| Mar 31, 2024 | 11.62 Mn |
| Dec 31, 2023 | 10.70 Mn |
| Sep 30, 2023 | 11.29 Mn |
| Jun 30, 2023 | 11.23 Mn |
| Mar 31, 2023 | 3.93 Mn |
| Dec 31, 2022 | 11.52 Mn |
| Sep 30, 2022 | 9.71 Mn |
| Jun 30, 2022 | 2.51 Mn |
| Mar 31, 2022 | 6.60 Mn |
| Dec 31, 2021 | 7.12 Mn |
| Sep 30, 2021 | 6.93 Mn |
Orange County Bancorp EBT 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=ebt&ticker=OBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();