Orange County Bancorp, Inc. /DE/ (OBT) Provision for Credit Losses (2020 - 2026)
Analysis
Orange County Bancorp, Inc. /DE/ (OBT) Provision for Credit Losses (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
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, Inc. /DE/ Provision for Credit Losses 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=provision-for-credit-losses&ticker=OBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();