Orange County Bancorp, Inc. /DE/ (OBT) Marketing and Advertising (2020 - 2026)
Analysis
Orange County Bancorp, Inc. /DE/ (OBT) Marketing and Advertising (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 496,000.00 |
| Mar 31, 2026 | 425,000.00 |
| Dec 31, 2025 | 622,000.00 |
| Sep 30, 2025 | 481,000.00 |
| Jun 30, 2025 | 481,000.00 |
| Mar 31, 2025 | 389,000.00 |
| Dec 31, 2024 | 409,000.00 |
| Sep 30, 2024 | 364,000.00 |
| Jun 30, 2024 | 438,000.00 |
| Mar 31, 2024 | 364,000.00 |
| Dec 31, 2023 | 583,000.00 |
| Sep 30, 2023 | 364,000.00 |
| Jun 30, 2023 | 434,000.00 |
| Mar 31, 2023 | 276,000.00 |
| Dec 31, 2022 | 474,000.00 |
| Sep 30, 2022 | 372,000.00 |
| Jun 30, 2022 | 564,000.00 |
| Mar 31, 2022 | 190,000.00 |
| Dec 31, 2021 | 355,000.00 |
| Sep 30, 2021 | 297,000.00 |
API Access
Orange County Bancorp, Inc. /DE/ Marketing and Advertising 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=marketing-and-advertising&ticker=OBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "marketing-and-advertising", "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=marketing-and-advertising&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();