Credit Union – Term Shares Profitability

What is a Term Shares Profitability Trend Report? Term Shares Profitability Trend Reports are considered operational reports and are used by executives and managers to analyze monthly trends in term share metrics. Some of the main functionality in this type of report is that it dynamically lists the months of the year across the columns and loan metrics down the rows with a Gross Profit total at the bottom. Some of the key rows include: Portfolio average balance, Deposit production, Nbr origination, Average size, FTP Income, Interest Expense, Net Interest Margin, Average First Year NIM, Average Doc Prep Fee, Average Origination Cost, FTP Income, Interest Expense, Net Interest Margin, Servicing Costs, Teller costs, Online costs, Total expenses, and Gross Profit. The green, yellow and red exception colors help highlight months with high/low profitability. You find an example of this type of report below.

Purpose of Term Shares Profitability Trend Reports Credit Unions use Term Shares Profitability Trend Reports to give leaders an easily understandable format to analyze monthly trends in term shares revenues, expenses and profitability. When used as part of good business practices in Production- and Financial Planning & Analysis (FP&A) departments, a company can improve its net profit and related term shares strategies, and it can reduce the chances that major exceptions or trends are not quickly discovered.

Who Uses This Type of Report? The typical users of this type of report are: Executives, branch managers, finance leaders, loan managers, production managers. Other Reports Often Used in Conjunction with Term Shares Profitability Trend Reports Progressive Production- and Financial Planning & Analysis (FP&A) departments sometimes use several different Term Shares Profitability Trend Reports, along with detailed term shares reports, term shares portfolio dashboards, KPI dashboards, branch benchmarking reports, annual budgets, profit & loss trend reports, balance sheets and other management and control tools.

Where Does the Data for Analysis Originate From? The Actual (historical transactions) data typically comes from enterprise resource planning (ERP) systems like: Microsoft Dynamics 365 (D365) Finance, Microsoft Dynamics 365 Business Central (D365 BC), Microsoft Dynamics AX, Microsoft Dynamics NAV, Microsoft Dynamics GP, Microsoft Dynamics SL, Sage Intacct, Sage 100, Sage 300, Sage 500, Sage X3, SAP Business One, SAP ByDesign, Acumatica, Netsuite and others. In analyses where budgets or forecasts are used, the planning data most often originates from in-house Excel spreadsheet models or from professional xFP&A solutions.

Built for credit union finance teams and aligned with Solver's xFP&A platform, this Solver report template connects directly to your ERP data via the Solver Data Warehouse, enabling near real-time analysis with minimal setup. Designed for QuickStart deployment, it can be activated rapidly so your team can focus on analysis and decisions — not data preparation.

What is the Credit Union – Term Shares Profitability in Solver? The Credit Union – Term Shares Profitability is a pre-built xFP&A report template in Solver designed for credit union organizations. It delivers key financial and operational metrics in a single, easy-to-use interface — purpose-built for credit union finance workflows.

Who uses this Solver report template? This template is primarily used by CFOs, finance managers, and credit union executives in credit union organizations who need accurate, timely data to support planning, reporting, and decision-making. It is particularly valuable for credit union finance teams managing budgets, forecasts, and performance reviews.

Where does the data come from? Data is sourced automatically from your ERP system through the Solver Data Warehouse, which integrates with platforms such as Microsoft Dynamics 365 Business Central, Dynamics 365 Finance, Acumatica, Sage Intacct, and other leading ERP solutions. Core banking and loan origination systems are also supported as data sources. Once connected, the template updates in near real-time with no manual data entry required.

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