Community Bancorp /Vt (CMTV) Provision for Losses (2011 - 2026)
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Analysis
Community Bancorp /Vt (CMTV) Provision for Losses (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 391,505.00 |
| Dec 31, 2025 | 382,808.00 |
| Sep 30, 2025 | 258,753.00 |
| Jun 30, 2025 | 407,046.00 |
| Mar 31, 2025 | 325,054.00 |
| Dec 31, 2024 | 27,505.00 |
| Sep 30, 2024 | 460,745.00 |
| Jun 30, 2024 | 331,582.00 |
| Mar 31, 2024 | 313,579.00 |
| Dec 31, 2023 | 671,992.00 |
| Sep 30, 2023 | 240,889.00 |
| Jun 30, 2023 | 281,142.00 |
| Mar 31, 2023 | 286,526.00 |
| Dec 31, 2022 | -347,000.00 |
| Sep 30, 2022 | 125,000.00 |
| Jun 30, 2022 | 337,500.00 |
| Mar 31, 2022 | 862,500.00 |
| Sep 30, 2021 | 89,167.00 |
| Jun 30, 2021 | 267,501.00 |
| Mar 31, 2021 | 267,497.00 |
API Access
Community Bancorp /Vt Provision for 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-losses&ticker=CMTV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=CMTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();