Orange County Bancorp (OBT) Financial Services Fees (2020 - 2026)
Orange County Bancorp (OBT) reported Financial Services Fees of $1.55 million for Q2 2026, down 14.9% from $1.82 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Orange County Bancorp (OBT) Financial Services Fees (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orange County Bancorp's Financial Services Fees came in at $7.06 million, down 0.6% year-over-year; for FY2025, it came in at $7.55 million, up 12.1% from FY2024.
- Financial Services Fees has increased for three consecutive years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- By year, Financial Services Fees came in at $6.74 million in FY2024 (+28.6%), $5.24 million in FY2023 (+15.5%), $4.54 million in FY2022 (-6.5%) and $4.85 million in FY2021 (+18.2%).
- Five-year quarterly Financial Services Fees spans a low of $1.09 million in Q3 2022 and a high of $2.01 million in Q4 2025.
- Year over year, Financial Services Fees gained in six of the last eight quarters, with growth averaging 9.5%.
- The high point for year-over-year Financial Services Fees in five years was Q1 2024 (growth of 31.5%); the low point was Q2 2026 (a decline of 14.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.54 million (Q1 2026), $2.01 million (Q4 2025) and $1.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Orange County Bancorp | 495.42 Mn | 495.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.55 Mn |
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 2.01 Mn |
| Sep 30, 2025 | 1.96 Mn |
| Jun 30, 2025 | 1.82 Mn |
| Mar 31, 2025 | 1.77 Mn |
| Dec 31, 2024 | 1.77 Mn |
| Sep 30, 2024 | 1.74 Mn |
| Jun 30, 2024 | 1.65 Mn |
| Mar 31, 2024 | 1.58 Mn |
| Dec 31, 2023 | 1.42 Mn |
| Sep 30, 2023 | 1.33 Mn |
| Jun 30, 2023 | 1.29 Mn |
| Mar 31, 2023 | 1.20 Mn |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | 1.09 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 1.27 Mn |
| Sep 30, 2021 | 1.18 Mn |
API Access
Orange County Bancorp Financial Services Fees 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=financial-services-fees&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "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=financial-services-fees&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();