Community Bancorp /Vt (CMTV) Occupancy Expense (2011 - 2026)
Analysis
Community Bancorp /Vt (CMTV) Occupancy Expense (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 774,981.00 |
| Dec 31, 2025 | 716,581.00 |
| Sep 30, 2025 | 748,354.00 |
| Jun 30, 2025 | 794,451.00 |
| Mar 31, 2025 | 781,856.00 |
| Dec 31, 2024 | 638,943.00 |
| Sep 30, 2024 | 683,980.00 |
| Jun 30, 2024 | 694,230.00 |
| Mar 31, 2024 | 722,503.00 |
| Dec 31, 2023 | 680,031.00 |
| Sep 30, 2023 | 662,277.00 |
| Jun 30, 2023 | 700,228.00 |
| Mar 31, 2023 | 770,986.00 |
| Dec 31, 2022 | 702,484.00 |
| Sep 30, 2022 | 677,805.00 |
| Jun 30, 2022 | 673,177.00 |
| Mar 31, 2022 | 753,364.00 |
| Dec 31, 2021 | 667,927.00 |
| Sep 30, 2021 | 743,219.00 |
| Jun 30, 2021 | 652,202.00 |
API Access
Community Bancorp /Vt Occupancy Expense 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=occupancy-expense&ticker=CMTV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "CMTV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=CMTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();