Orange County Bancorp (OBT) Amortizatization of Intangibles (2020 - 2026)
Orange County Bancorp's Amortizatization of Intangibles was $72,000 in Q2 2026, unchanged from $72,000 a year earlier and up 1.4% from the prior quarter.
Orange County Bancorp (OBT) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Orange County Bancorp's Amortizatization of Intangibles was $286,000 through Jun 30, 2026, unchanged year-over-year; for FY2025, it was $286,000, unchanged from FY2024.
- Amortizatization of Intangibles shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $286,000 in FY2024 (+0.4%), $285,000 in FY2023 (-0.3%), $286,000 in FY2022 (+0.4%) and $285,000 in FY2021 (-0.3%).
- Compared with a year earlier, Amortizatization of Intangibles was higher in two of the last eight quarters, with growth averaging 0.2%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q2 2025 (growth of 1.4%); the worst was Q4 2021 (a decline of 1.4%).
- Per Business Quant data, OBT's Amortizatization of Intangibles in the three quarters before Q2 2026 was $71,000 (Q1 2026), $72,000 (Q4 2025) and $71,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Orange County Bancorp | 505.88 Mn | 505.88 Mn | - | 72,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72,000.00 |
| Mar 31, 2026 | 71,000.00 |
| Dec 31, 2025 | 72,000.00 |
| Sep 30, 2025 | 71,000.00 |
| Jun 30, 2025 | 72,000.00 |
| Mar 31, 2025 | 71,000.00 |
| Dec 31, 2024 | 72,000.00 |
| Sep 30, 2024 | 71,000.00 |
| Jun 30, 2024 | 71,000.00 |
| Mar 31, 2024 | 72,000.00 |
| Dec 31, 2023 | 71,000.00 |
| Sep 30, 2023 | 71,000.00 |
| Jun 30, 2023 | 71,000.00 |
| Mar 31, 2023 | 71,000.00 |
| Dec 31, 2022 | 72,000.00 |
| Sep 30, 2022 | 71,000.00 |
| Jun 30, 2022 | 71,000.00 |
| Mar 31, 2022 | 71,000.00 |
| Dec 31, 2021 | 71,000.00 |
| Sep 30, 2021 | 71,000.00 |
Orange County Bancorp Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=OBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();