Orange County Bancorp (OBT) Net Income (2020 - 2026)
Orange County Bancorp's Net Income came in at $13.66 million for Q2 2026, up 30.6% from $10.46 million a year earlier and up 21.0% from the prior quarter.
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Analysis
Orange County Bancorp (OBT) Net Income (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Orange County Bancorp reported Net Income of $47.39 million, up 60.4% year-over-year; for FY2025, it came in at $41.61 million, up 49.2% from FY2024.
- Net Income carries a five-year compound annual growth rate of 28.9% (FY2020 to FY2025).
- Going back by year, Net Income was $27.88 million in FY2024 (-5.4%), $29.48 million in FY2023 (+21.0%), $24.36 million in FY2022 (+14.5%) and $21.29 million in FY2021 (+82.3%).
- The Q2 2026 figure represents the highest quarterly Net Income in data going back to Q2 2020.
- Year-over-year, Net Income has increased for five consecutive quarters, with growth averaging 36.3% over the last eight quarters.
- The fastest year-over-year change in Net Income over five years came in Q2 2023 (growth of 330.6%), and the weakest in Q3 2024 (a decline of 64.4%).
- Business Quant data shows OBT's Net Income at $11.28 million (Q1 2026), $12.43 million (Q4 2025) and $10.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 Bn |
| 10 | Orange County Bancorp | 495.42 Mn | 495.42 Mn | - | 13.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.66 Mn |
| Mar 31, 2026 | 11.28 Mn |
| Dec 31, 2025 | 12.43 Mn |
| Sep 30, 2025 | 10.02 Mn |
| Jun 30, 2025 | 10.46 Mn |
| Mar 31, 2025 | 8.70 Mn |
| Dec 31, 2024 | 7.16 Mn |
| Sep 30, 2024 | 3.22 Mn |
| Jun 30, 2024 | 8.21 Mn |
| Mar 31, 2024 | 9.29 Mn |
| Dec 31, 2023 | 8.12 Mn |
| Sep 30, 2023 | 9.04 Mn |
| Jun 30, 2023 | 9.09 Mn |
| Mar 31, 2023 | 3.23 Mn |
| Dec 31, 2022 | 9.07 Mn |
| Sep 30, 2022 | 7.85 Mn |
| Jun 30, 2022 | 2.11 Mn |
| Mar 31, 2022 | 5.33 Mn |
| Dec 31, 2021 | 5.49 Mn |
| Sep 30, 2021 | 5.58 Mn |
API Access
Orange County Bancorp Net Income 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=net-income&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();