Orange County Bancorp (OBT) Rent Expense (2020 - 2026)
Orange County Bancorp (OBT) posted Rent Expense of $1.25 million for Q2 2026, down 3.7% from $1.3 million a year earlier and down 6.4% from the prior quarter.
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Analysis
Orange County Bancorp (OBT) Rent Expense (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at Orange County Bancorp was $5.14 million, up 1.9% year-over-year; for FY2025, it came in at $5.13 million, up 7.1% from FY2024.
- Annual Rent Expense has increased for five consecutive years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Orange County Bancorp's Rent Expense was $4.79 million in FY2024 (+0.6%), $4.76 million in FY2023 (+6.6%), $4.47 million in FY2022 (+10.1%) and $4.06 million in FY2021 (+8.4%).
- The Q2 2026 figure stands as the lowest quarterly Rent Expense since Q4 2024.
- On a year-over-year basis, Rent Expense increased in seven of the last eight quarters, with growth averaging 5.2%.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q1 2022, with growth of 26.7%; the weakest was Q1 2024, with a decline of 7.4%.
- According to Business Quant data, Rent Expense for the three prior quarters was $1.34 million (Q1 2026), $1.27 million (Q4 2025) and $1.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Orange County Bancorp | 505.21 Mn | 505.21 Mn | - | 1.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Mn |
| Mar 31, 2026 | 1.34 Mn |
| Dec 31, 2025 | 1.27 Mn |
| Sep 30, 2025 | 1.28 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.28 Mn |
| Dec 31, 2024 | 1.24 Mn |
| Sep 30, 2024 | 1.22 Mn |
| Jun 30, 2024 | 1.16 Mn |
| Mar 31, 2024 | 1.16 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.18 Mn |
| Jun 30, 2023 | 1.18 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 1.06 Mn |
| Jun 30, 2022 | 1.11 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | 1.10 Mn |
| Sep 30, 2021 | 1.02 Mn |
API Access
Orange County Bancorp Rent Expense 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=rent-expense&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();