COMMUNITY BANCORP /VT

General component

The general component of the ACL is based on methodologies, inputs, and assumptions utilized to estimate lifetime credit losses when applied to the following loan segments: commercial and industrial, purchased loans, CRE, municipal, residential real estate 1st lien, residential real estate Jr lien and consumer loans. The Company does not disaggregate its portfolio segments further into classes.

The Company utilizes a DCF approach to calculate the expected loss for each portfolio segment. Within the DCF model, probability of default (PD) and loss given default (LGD) assumptions are applied to calculate the expected loss for each segment. PD is management’s estimate of the probability the asset will default within a given timeframe and LGD is management’s estimate of the percentage of assets not expected to be collected due to default. The Company's PD and LGD assumptions may be derived from internal historical default and loss experience or from external data where there are not statistically meaningful loss events for a loan segment, or it does not have default and loss data that covers a full economic cycle.

As of December 31, 2025 and 2024, the primary macroeconomic drivers used within the DCF model included forecasts of civilian unemployment and changes in national gross domestic product (GDP). Management monitors and assesses its macroeconomic drivers at least annually (generally in the fourth quarter, or more frequently as circumstances warrant) to determine whether they continue to be the most predictive indicator of losses within the Company's loan portfolio, and these macroeconomic drivers may change from time to time.

To determine its reasonable and supportable forecast, management may leverage macroeconomic forecasts obtained from various reputable sources, which may include, but are not limited to, the FOMC forecast and other publicly available forecasts from well recognized, leading economists or firms. The Company's reasonable and supportable forecast period generally ranges from one to three years, depending on the facts and circumstances of the current state of the economy, portfolio segment, and management's judgment of what can be reasonably supported. The model reversion period generally ranges from one to six years, and it also depends on the current state of the economy and management's judgments of such. Management monitors and assesses the forecast and reversion period at least annually, or more frequently as circumstances warrant. The Company used a one-year forecast and reversion period to calculate the ACL on loans as of December 31, 2025 and 2024.

When the DCF method is used to determine the ACL, management does not adjust the effective interest rate used to discount expected cash flows to incorporate expected prepayments.

Expected credit losses are estimated over the contractual term of the loans. For term loans, the contractual life is calculated based on the maturity date. For commercial revolving loans with no stated maturity date, the contractual life is calculated based on the internal review date. For all other revolving loans, the contractual life is based on either the estimated maturity date or a default date. The contractual term excludes expected extensions, renewals, and modifications.

In calculating the ACL on loans, the contractual life of a loan must be adjusted for prepayments to arrive at expected cash flows. The Company models term loans using an annualized prepayment. When the Company has a specific expectation of differing payment behavior for a given loan, the loan may be evaluated individually. For revolving loans that do not have a principal payment schedule, a curtailment rate is factored into the expected cash flow.

Management has elected to use loss rate methodologies appropriate for each loan segment. The DCF method was chosen for the commercial and industrial, CRE, residential real estate 1 st lien, residential real estate Jr Lien and consumer loans. The DCF model, being periodic in nature, allows for effective incorporation of a reasonable and supportable forecast in a directionally consistent and objective manner. For the purchased loans segment, a long-term average loss rate is calculated and applied on a quarterly basis for the remaining life of the pool. Due to the lack of any historical loss data, a manual entry methodology was chosen for the municipal loans given the immaterial nature of the pool when considering prior loss history as well as the inability to reasonably forecast a PD or LGD for the pool.

Qualitative factors are also applied to include the levels of and trends in delinquencies and non-performing loans, levels of and trends in loan risk groups, trends in volumes and terms of loans, effects of any changes in loan related policies, experience, ability and the depth of management, documentation and credit data exception levels, national and local economic trends, external factors such as competition and regulation and lastly, concentrations of credit risk in a variety of areas, including portfolio product mix, the level of loans to individual borrowers and their related interests, loans to industry segments, and the geographic distribution of CRE loans. This evaluation is inherently subjective as it requires estimates that are susceptible to revision as more information becomes available. During the fourth quarter of 2025, after review and analysis, management decreased the qualitative factors for credit management oversight in all loan segments, reflecting a stable level of criticized loans. An analysis of the qualitative score card at year end led to management’s determination that several risk weights should be adjusted. Adjustments to qualitative factors made by management in the fourth quarter of 2025 were made to risk status to reflect seasoned personnel in all portfolios as well as decreases seen for criticized and classified loans in the commercial and industrial and CRE portfolios to reflect a stable level of criticized loans during the fourth quarter.

The qualitative factors are determined based on the various risk characteristics of each loan segment. The Company has policies, procedures and internal controls that management believes are commensurate with the risk profile of each of these segments. Major risk characteristics relevant to each portfolio segment are as follows:

Commercial & Industrial – Loans in this segment include commercial and industrial loans and to a lesser extent loans to finance agricultural production. Commercial loans are made to businesses and are generally secured by assets of the business, including trade assets and equipment. While not the primary collateral, in many cases these loans may also be secured by the real estate of the business. Repayment is expected from the cash flows of the business. A weakened economy, soft consumer spending, unfavorable foreign trade conditions and the rising cost of labor or raw materials are examples of issues that can impact credit quality in this segment.

*Purchased –*Loans in this segment are loans purchased through a loan purchasing program with BHG. BHG originates commercial loans to medical professionals and consumer loans to other professionals nationwide and sells them individually to a secondary market, primarily banks, through a bid process. The Bank has established conservative credit parameters and expects a low risk of default in this portfolio.

Commercial Real Estate – Loans in this segment are principally made to businesses and are generally secured by either owner-occupied, or non-owner occupied CRE. A relatively small portion of this segment includes farm loans secured by farmland and buildings. As with commercial and industrial loans, repayment of owner-occupied CRE loans is expected from the cash flows of the business and the segment would be impacted by the same risk factors as commercial and industrial loans. The non-owner occupied CRE portion includes both residential and commercial construction loans, vacant land and real estate development loans, multi-family dwelling loans and commercial rental property loans. Repayment of construction loans is expected from permanent financing takeout; the Company generally requires a commitment or eligibility for the take-out financing prior to construction loan origination. Real estate development loans are generally repaid from the sale of the subject real property as the project progresses. Construction and development lending entail additional risks, including the project exceeding budget, not being constructed according to plans, not receiving permits, or the pre-leasing or occupancy rate not meeting expectations. Repayment of multi-family loans and commercial rental property loans is expected from the cash flow generated by rental payments received from the individuals or businesses occupying the real estate. CRE loans are impacted by factors such as competitive market forces, vacancy rates, cap rates, net operating incomes, lease renewals and overall economic demand. In addition, loans in the recreational and tourism sector can be affected by weather conditions, such as unseasonably low winter snowfalls. CRE lending also carries a higher degree of environmental risk than other real estate lending.

*Municipal –*Loans in this segment are made to local municipalities, attributable to municipal financing transactions and backed by the full faith and credit of town governments or dedicated governmental revenue sources, with no historical losses recognized by the Company. Qualitative factors are not utilized in the manual entry method for municipal loans.

Residential Real Estate - 1 st Lien – Loans in this segment are collateralized by first mortgages on 1 – 4 family owner-occupied residential real estate and repayment is dependent on the credit quality of the individual borrower. The overall health of the economy, including unemployment rates and housing prices, has an impact on the credit quality of this segment.

Residential Real Estate – Jr Lien – Loans in this segment are collateralized by junior lien mortgages on 1 – 4 family residential real estate and repayment is primarily dependent on the credit quality of the individual borrower. The overall health of the economy, including unemployment rates and housing prices, has an impact on the credit quality of this segment.

Consumer – Loans in this segment are made to individuals for consumer and household purposes. This segment includes both loans secured by automobiles and other consumer goods, as well as loans that are unsecured. This segment also includes overdrafts, which are extensions of credit made to both individuals and businesses to cover temporary shortages in their deposit accounts and are generally unsecured. The Company maintains policies restricting the size and term of these extensions of credit. The overall health of the economy, including unemployment rates, has an impact on the credit quality of this segment.