Community Bancorp (CMTV) Provision for Losses (2009 - 2026)
Community Bancorp (CMTV) recorded Provision for Losses of $391,505 in Q1 2026, up 20.4% from $325,054 a year earlier and up 2.3% from the prior quarter.
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Analysis
Community Bancorp (CMTV) Provision for Losses (2009 - 2026) Analysis & Trends
On a TTM basis, Community Bancorp's Provision for Losses came in at $1.44 million as of Mar 31, 2026, up 25.8% year-over-year; for FY2025, it came in at $1.37 million, up 21.2% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $1.13 million in FY2024 (-23.4%), $1.48 million in FY2023 (+51.4%), $978,000 in FY2022 (+56.7%) and $624,165 in FY2021 (-60.7%).
- Quarterly Provision for Losses has ranged from -$347,000 in Q4 2022 to $862,500 in Q1 2022 over the past five years.
- On a year-over-year basis, Provision for Losses rose in five of the last seven quarters, with growth averaging 2.3%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 222.4% in Q1 2022, against a decline of 95.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $382,808 (Q4 2025), $258,753 (Q3 2025) and $407,046 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Community Bancorp | 264.25 Mn | 264.25 Mn | - | - |
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 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();