Orange County Bancorp (OBT) Tax Provisions (2020 - 2026)
Orange County Bancorp's Tax Provisions came in at -$2.1 million for Q2 2026, compared with $3.13 million a year earlier.
Powered by 
Analysis
Orange County Bancorp (OBT) Tax Provisions (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Orange County Bancorp reported Tax Provisions of $5.44 million, down 34.5% year-over-year; for FY2025, it came in at $9.94 million, up 43.4% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $6.94 million in FY2024 (-9.6%), $7.67 million in FY2023 (+29.7%), $5.91 million in FY2022 (+9.7%) and $5.39 million in FY2021 (+89.9%).
- The Q2 2026 figure represents the lowest quarterly Tax Provisions in data going back to Q2 2020.
- Year-over-year, Tax Provisions increased in four of the last seven quarters, with growth averaging 35.4%.
- The fastest year-over-year change in Tax Provisions over five years came in Q2 2023 (growth of 435.3%), and the weakest in Q2 2022 (a decline of 68.2%).
- Business Quant data shows OBT's Tax Provisions at $3.31 million (Q1 2026), $1.23 million (Q4 2025) and $3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1.40 Bn |
| 10 | Orange County Bancorp | 500.25 Mn | 500.25 Mn | - | -2.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.10 Mn |
| Mar 31, 2026 | 3.31 Mn |
| Dec 31, 2025 | 1.23 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 3.13 Mn |
| Mar 31, 2025 | 2.58 Mn |
| Dec 31, 2024 | 1.80 Mn |
| Sep 30, 2024 | 788,000.00 |
| Jun 30, 2024 | 2.02 Mn |
| Mar 31, 2024 | 2.33 Mn |
| Dec 31, 2023 | 2.58 Mn |
| Sep 30, 2023 | 2.26 Mn |
| Jun 30, 2023 | 2.14 Mn |
| Mar 31, 2023 | 696,000.00 |
| Dec 31, 2022 | 2.45 Mn |
| Sep 30, 2022 | 1.86 Mn |
| Jun 30, 2022 | 400,000.00 |
| Mar 31, 2022 | 1.27 Mn |
| Dec 31, 2021 | 1.62 Mn |
| Sep 30, 2021 | 1.35 Mn |
API Access
Orange County Bancorp Tax 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=tax-provisions&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-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=tax-provisions&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();