Orange County Bancorp (OBT) Revenue (2020 - 2026)
Orange County Bancorp (OBT) posted Revenue of $27.82 million for Q2 2026, down 14.3% from $32.46 million a year earlier and down 13.3% from the prior quarter.
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Analysis
Orange County Bancorp (OBT) Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Orange County Bancorp was $126.66 million, up 10.2% year-over-year; for FY2025, it was $127.2 million, up 18.1% from FY2024.
- Annual Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In prior years, Orange County Bancorp's Revenue was $107.74 million in FY2024 (+5.8%), $101.81 million in FY2023 (+13.0%), $90.08 million in FY2022 (+24.1%) and $72.56 million in FY2021 (+20.6%).
- The Q2 2026 figure stands as the lowest quarterly Revenue since Q4 2024.
- On a year-over-year basis, Revenue increased in seven of the last eight quarters, with growth averaging 10.4%.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2022, with growth of 33.8%; the weakest was Q2 2026, with a decline of 14.3%.
- According to Business Quant data, Revenue for the three prior quarters was $32.08 million (Q1 2026), $33.03 million (Q4 2025) and $33.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 13.30 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 | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 22.62 Bn |
| 10 | Orange County Bancorp | 505.21 Mn | 505.21 Mn | - | 27.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.82 Mn |
| Mar 31, 2026 | 32.08 Mn |
| Dec 31, 2025 | 33.03 Mn |
| Sep 30, 2025 | 33.73 Mn |
| Jun 30, 2025 | 32.46 Mn |
| Mar 31, 2025 | 27.98 Mn |
| Dec 31, 2024 | 27.38 Mn |
| Sep 30, 2024 | 27.14 Mn |
| Jun 30, 2024 | 27.93 Mn |
| Mar 31, 2024 | 25.29 Mn |
| Dec 31, 2023 | 25.89 Mn |
| Sep 30, 2023 | 25.72 Mn |
| Jun 30, 2023 | 25.89 Mn |
| Mar 31, 2023 | 24.31 Mn |
| Dec 31, 2022 | 25.91 Mn |
| Sep 30, 2022 | 24.35 Mn |
| Jun 30, 2022 | 20.49 Mn |
| Mar 31, 2022 | 19.34 Mn |
| Dec 31, 2021 | 19.36 Mn |
| Sep 30, 2021 | 18.91 Mn |
API Access
Orange County Bancorp Revenue 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=revenue&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();