Orange County Bancorp (OBT) Provisions (2020 - 2026)
Orange County Bancorp (OBT) posted Provisions of -$979,000 for Q2 2026, compared with $2.22 million a year earlier.
Powered by 
Analysis
Orange County Bancorp (OBT) Provisions (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provisions at Orange County Bancorp was $3.89 million, down 58.6% year-over-year; for FY2025, it was $7.84 million, down 18.2% from FY2024.
- Annual Provisions shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Orange County Bancorp's Provisions was $9.59 million in FY2024 (+21.8%), $7.87 million in FY2023 (-17.3%), $9.52 million in FY2022 (+292.0%) and $2.43 million in FY2021 (-55.1%).
- The Q2 2026 figure stands as the lowest quarterly Provisions since Q1 2024.
- The strongest year-over-year quarter for Provisions in the past five years was Q3 2024, with growth of 791.0%; the weakest was Q4 2021, with a decline of 67.7%.
- According to Business Quant data, Provisions for the three prior quarters was -$493,000 (Q1 2026), $1.6 million (Q4 2025) and $3.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 914.00 Mn |
| 10 | Orange County Bancorp | 505.21 Mn | 505.21 Mn | - | -979,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -979,000.00 |
| Mar 31, 2026 | -493,000.00 |
| Dec 31, 2025 | 1.60 Mn |
| Sep 30, 2025 | 3.77 Mn |
| Jun 30, 2025 | 2.22 Mn |
| Mar 31, 2025 | 263,000.00 |
| Dec 31, 2024 | -275,000.00 |
| Sep 30, 2024 | 7.19 Mn |
| Jun 30, 2024 | 2.31 Mn |
| Mar 31, 2024 | -1.64 Mn |
| Dec 31, 2023 | 460,000.00 |
| Sep 30, 2023 | 807,000.00 |
| Jun 30, 2023 | -214,000.00 |
| Mar 31, 2023 | 6.36 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Sep 30, 2022 | 2.08 Mn |
| Jun 30, 2022 | 5.51 Mn |
| Mar 31, 2022 | 923,000.00 |
| Dec 31, 2021 | 545,000.00 |
| Sep 30, 2021 | 1.01 Mn |
API Access
Orange County Bancorp Provisions 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=provisions&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();