Orange County Bancorp (OBT) Operating Expenses (2020 - 2026)
Orange County Bancorp's Operating Expenses came in at $17.27 million for Q2 2026, up 3.1% from $16.75 million a year earlier but down 3.7% from the prior quarter.
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Analysis
Orange County Bancorp (OBT) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Orange County Bancorp reported Operating Expenses of $69.84 million, up 3.2% year-over-year; for FY2025, it was $67.9 million, up 4.1% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $65.21 million in FY2024 (+14.8%), $56.79 million in FY2023 (+12.9%), $50.29 million in FY2022 (+15.7%) and $43.46 million in FY2021 (+8.0%).
- The five-year range for quarterly Operating Expenses is $10.97 million (Q3 2021) to $18.47 million (Q4 2024).
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 9.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 25.4%), and the weakest in Q4 2025 (a decline of 3.5%).
- Business Quant data shows OBT's Operating Expenses at $17.92 million (Q1 2026), $17.81 million (Q4 2025) and $16.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Orange County Bancorp | 505.21 Mn | 505.21 Mn | - | 17.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.27 Mn |
| Mar 31, 2026 | 17.92 Mn |
| Dec 31, 2025 | 17.81 Mn |
| Sep 30, 2025 | 16.84 Mn |
| Jun 30, 2025 | 16.75 Mn |
| Mar 31, 2025 | 16.49 Mn |
| Dec 31, 2024 | 18.47 Mn |
| Sep 30, 2024 | 15.95 Mn |
| Jun 30, 2024 | 15.49 Mn |
| Mar 31, 2024 | 15.31 Mn |
| Dec 31, 2023 | 14.73 Mn |
| Sep 30, 2023 | 13.59 Mn |
| Jun 30, 2023 | 14.45 Mn |
| Mar 31, 2023 | 14.03 Mn |
| Dec 31, 2022 | 13.38 Mn |
| Sep 30, 2022 | 12.56 Mn |
| Jun 30, 2022 | 12.47 Mn |
| Mar 31, 2022 | 11.82 Mn |
| Dec 31, 2021 | 11.70 Mn |
| Sep 30, 2021 | 10.97 Mn |
API Access
Orange County Bancorp Operating Expenses 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=operating-expenses&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();