Orange County Bancorp (OBT) EBITDA (2020 - 2026)
Orange County Bancorp (OBT) reported EBITDA of $18.19 million for Q2 2026, down 17.8% from $22.14 million a year earlier and down 15.8% from the prior quarter.
Powered by 
Analysis
Orange County Bancorp (OBT) EBITDA (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orange County Bancorp's EBITDA came in at $81.92 million, up 11.1% year-over-year; for FY2025, it came in at $84.31 million, up 16.7% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- By year, EBITDA came in at $72.23 million in FY2024 (+5.4%), $68.49 million in FY2023 (+79.8%), $38.11 million in FY2022 (+18.0%) and $32.31 million in FY2021 (+55.3%).
- The Q2 2026 figure ranks as the lowest quarterly EBITDA since Q3 2024.
- Year over year, EBITDA gained in four of the last eight quarters, with growth averaging 4.0%.
- The high point for year-over-year EBITDA in five years was Q2 2023 (growth of 380.4%); the low point was Q2 2022 (a decline of 50.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $21.59 million (Q1 2026), $21.1 million (Q4 2025) and $21.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Orange County Bancorp | 505.21 Mn | 505.21 Mn | - | 18.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.19 Mn |
| Mar 31, 2026 | 21.59 Mn |
| Dec 31, 2025 | 21.10 Mn |
| Sep 30, 2025 | 21.05 Mn |
| Jun 30, 2025 | 22.14 Mn |
| Mar 31, 2025 | 20.04 Mn |
| Dec 31, 2024 | 18.64 Mn |
| Sep 30, 2024 | 12.94 Mn |
| Jun 30, 2024 | 19.09 Mn |
| Mar 31, 2024 | 21.55 Mn |
| Dec 31, 2023 | 20.59 Mn |
| Sep 30, 2023 | 19.37 Mn |
| Jun 30, 2023 | 18.82 Mn |
| Mar 31, 2023 | 9.72 Mn |
| Dec 31, 2022 | 14.66 Mn |
| Sep 30, 2022 | 11.62 Mn |
| Jun 30, 2022 | 3.92 Mn |
| Mar 31, 2022 | 7.98 Mn |
| Dec 31, 2021 | 8.50 Mn |
| Sep 30, 2021 | 8.32 Mn |
API Access
Orange County Bancorp EBITDA 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=ebitda&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();