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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Year-over-year balance sheet analysis requires consistent data from multiple periods and accurate variance calculations. You can automate comparative balance sheet imports with built-in YoY analysis that eliminates manual data manipulation and ensures timely comparative reporting.
This automated approach provides comprehensive YoY balance sheet analysis without manual intervention while maintaining data accuracy and consistency.
Automate YoY comparative analysis using Coefficient
Coefficient excels at importing comparative balance sheets from NetSuite with year-over-year analysis capabilities through multiple automated methods. You can use native comparative reports or create custom multi-period analysis with automated variance calculations.
How to make it work
Step 1. Set up native comparative balance sheet imports.
Use NetSuite’s Comparative Balance Sheet report type in the Reports import feature. Configure for YoY periods automatically and include calculated variance columns that preserve NetSuite’s comparison logic. This method provides built-in variance calculations and percentage changes.
Step 2. Create multiple period imports for custom analysis.
Set up separate imports for current and prior year using consistent naming like “Balance Sheet – 2024” and “Balance Sheet – 2023”. Schedule synchronized refreshes to ensure data consistency and calculate YoY changes using Google Sheets formulas for additional flexibility.
Step 3. Build custom YoY analysis with SuiteQL.
Write SuiteQL queries for comprehensive comparative analysis. Example query: SELECT account.accountnumber, account.displayname, cy.balance as current_year, py.balance as prior_year, (cy.balance – py.balance) as yoy_change, CASE WHEN py.balance != 0 THEN ((cy.balance – py.balance) / py.balance * 100) ELSE 0 END as yoy_percent FROM account LEFT JOIN (SELECT * FROM accountbalance WHERE period = ‘2024-12’) cy LEFT JOIN (SELECT * FROM accountbalance WHERE period = ‘2023-12’) py.
Step 4. Set up advanced comparative analysis options.
Create quarterly comparisons like Q4 2024 versus Q4 2023 for seasonal analysis. Build rolling analysis comparing last 12 months versus prior 12 months and import 3-5 years of data for multi-year trending. Include segment analysis for YoY comparisons by department or subsidiary.
Step 5. Automate refresh scheduling and enhanced analytics.
Schedule annual refreshes for year-end reporting and monthly updates for rolling YoY analysis. Set up automatic percentage calculations with conditional formatting for variance highlighting. Build growth rate calculations by account category and create executive dashboards with YoY KPIs and waterfall charts showing YoY movements.
Enable comprehensive YoY financial analysis
Automated YoY comparative analysis provides consistent and timely financial reporting without manual data manipulation. This approach ensures accurate variance calculations and enables deeper insights into business performance trends. Start building your automated YoY analysis today.
