Orange County Bancorp (OBT) Non Operating Interest Expenses (2020 - 2024)
Orange County Bancorp (OBT) reported Non Operating Interest Expenses of $8.39 million for Q2 2024, up 17.6% from $7.14 million a year earlier but down 11.4% from the prior quarter.
Orange County Bancorp (OBT) Non Operating Interest Expenses (2020 - 2024) Analysis & Trends
Over the twelve months ended Jun 30, 2024, Orange County Bancorp's Non Operating Interest Expenses came in at $34.88 million, up 110.2% year-over-year; for FY2023, it came in at $29.38 million, up 378.9% from FY2022.
- Non Operating Interest Expenses has a three-year compound annual growth rate of 83.9% (FY2020 to FY2023).
- By year, Non Operating Interest Expenses came in at $6.14 million in FY2022 (+54.6%), $3.97 million in FY2021 (-16.0%) and $4.72 million in FY2020.
- Five-year quarterly Non Operating Interest Expenses spans a low of $931,000 in Q1 2022 and a high of $9.47 million in Q1 2024.
- Year over year, Non Operating Interest Expenses has now increased in each of the last eight quarters, with growth averaging 263.1% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2023 (growth of 632.1%); the low point was Q4 2021 (a decline of 17.0%).
- Per Business Quant data, the three quarters before Q2 2024 came in at $9.47 million (Q1 2024), $9.42 million (Q4 2023) and $7.6 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 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 | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 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
| Date | Value |
|---|---|
| Jun 30, 2024 | 8.39 Mn |
| Mar 31, 2024 | 9.47 Mn |
| Dec 31, 2023 | 9.42 Mn |
| Sep 30, 2023 | 7.60 Mn |
| Jun 30, 2023 | 7.14 Mn |
| Mar 31, 2023 | 5.23 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 1.43 Mn |
| Jun 30, 2022 | 975,000.00 |
| Mar 31, 2022 | 931,000.00 |
| Dec 31, 2021 | 940,000.00 |
| Sep 30, 2021 | 980,000.00 |
| Jun 30, 2021 | 1.03 Mn |
| Mar 31, 2021 | 1.02 Mn |
| Dec 31, 2020 | 1.13 Mn |
| Sep 30, 2020 | 1.15 Mn |
| Jun 30, 2020 | 1.15 Mn |
Orange County Bancorp Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=OBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();