Category: QuickBooks

Native QuickBooks Online reports can’t combine data from multiple companies, forcing you to manually consolidate reports – a time-consuming process prone to errors. This becomes a major barrier for businesses managing multiple entities.

Here’s how to create automated consolidated reports that combine data from all your QuickBooks companies.

Create multi-company consolidated reports using Coefficient

Coefficient provides multi-company QuickBooks data consolidation capabilities. The platform supports multiple QuickBooks connections within a single spreadsheet, allowing you to import matching reports from different companies and combine them automatically.

How to make it work

Step 1. Connect each QuickBooks company to Coefficient.

You’ll need admin permissions for each company. Add each connection through the Coefficient sidebar, and they’ll appear as separate data sources in your import options.

Step 2. Import data from each company using consistent structures.

Create identical report structures for each company by importing the same fields and applying similar filters. Import each company’s data to separate sheets within the same workbook.

Step 3. Use spreadsheet formulas to consolidate the data.

Create a master sheet that combines data from all company sheets using VLOOKUP, SUMIF, or other consolidation formulas. This automatically aggregates metrics across all entities.

Step 4. Build master dashboards with combined metrics.

Create summary views showing total revenue, expenses, and key performance indicators across your entire business portfolio. Use charts and pivot tables to visualize consolidated performance.

Step 5. Schedule automated refreshes for all companies.

Set up hourly, daily, or weekly refresh schedules that update all company data simultaneously. Your consolidated reports stay current without manual intervention.

Get real-time visibility across your business portfolio

Multi-company consolidation eliminates manual report combination while providing real-time visibility across all your entities. Start consolidating your QuickBooks companies today.

QuickBooks Online can’t combine budget vs actual variances with prior year comparisons in a single report. You’re stuck viewing either budget comparisons OR prior year comparisons, but never both together.

Here’s how to build comprehensive variance reports that show current actuals, budget performance, and prior year trends all in one place.

Build comprehensive variance reports using Coefficient

Coefficient solves this limitation by letting you import multiple data sets from QuickBooks and QuickBooks simultaneously. You can pull current year P&L with budget columns, prior year P&L for the same period, and detailed budget data all into one spreadsheet.

How to make it work

Step 1. Import multiple QuickBooks reports simultaneously.

Use Coefficient’s “From QuickBooks Report” feature to import your current year Profit & Loss with budget columns, prior year Profit & Loss for the same period, and Budget Overview report. Each import goes to a separate sheet or range within your workbook, giving you all the raw data you need.

Step 2. Create custom variance calculations.

Build formulas for budget variance percentages using =(Actual-Budget)/Budget*100 and prior year variance with =(Current Year-Prior Year)/Prior Year*100. You can now analyze all three data points together with unlimited custom calculations that QuickBooks Online simply can’t provide.

Step 3. Set up automated report updates.

Schedule hourly, daily, or weekly refreshes to automatically update all imported data. Your variance calculations update automatically as the underlying QuickBooks data changes, eliminating manual copy-paste workflows completely.

Step 4. Build executive dashboards.

Create consolidated views showing current actuals vs budget with variance percentages, current vs prior year performance, trend analysis across multiple periods, and custom groupings not available in QuickBooks Online. Add conditional formatting to highlight significant variances.

Get the financial insights QuickBooks Online can’t provide

This approach transforms multiple manual reports into one automated, always-current variance analysis. You get all your QuickBooks Online data in one place with unlimited custom calculations and formatting. Start building comprehensive variance reports today.

Creating executive-level revenue and expense snapshots from QuickBooks Online typically requires exporting multiple reports and manually consolidating them. This process is time-consuming and creates outdated reports the moment you finish building them.

Here’s how to streamline this into an automated process with live data connections and custom executive dashboards.

Build automated snapshot reports using Coefficient

Coefficient streamlines this into an automated process with live data connections. You can import core financial data, build custom groupings, and create dynamic dashboards that update themselves with current QuickBooks and QuickBooks data.

How to make it work

Step 1. Import core financial data.

Use “From QuickBooks Report” to import your Profit & Loss with specific date ranges (MTD, QTD, YTD), Sales by Customer Summary for revenue details, and Expenses by Vendor Summary for expense analysis. All data flows directly to your spreadsheet with live connections.

Step 2. Build custom revenue groupings.

Consolidate revenue streams not grouped in QuickBooks, create product line or service category roll-ups, and calculate percentage of total revenue by segment. Add MRR/ARR calculations for subscription businesses using formulas that reference your live QuickBooks data.

Step 3. Design executive expense categories.

Group expenses by department or function, separate operating expenses from COGS, create “controllable vs non-controllable” views, and calculate expense ratios as percentage of revenue. Build variance analysis comparing current periods to budgets or prior years.

Step 4. Create dynamic snapshot dashboard.

Build a single view showing top-line revenue with growth percentages, gross margin analysis with trends, operating expense categories with variances, EBITDA or net income with margins, and key ratios and KPIs. Add conditional formatting to highlight significant changes.

Step 5. Schedule automated updates.

Set daily refresh for real-time snapshots, configure email alerts for threshold breaches, and maintain rolling period comparisons automatically. Your executive team always sees current data without manual intervention.

Transform manual reporting into automated insights

The result is a single, always-current executive snapshot that would take hours to create manually in QuickBooks Online. Your reports update automatically with formatted visualizations and calculated insights QuickBooks cannot provide natively. Start building automated snapshot reports today.

QuickBooks can’t create horizontal AR aging reports with separate columns for each aging bucket. The native reports only display aging buckets vertically, making it impossible to get the columnar layout you need for proper analysis.

Here’s how to transform your QuickBooks AR data into a horizontal aging report with custom columns for Current, 1-30, 31-60, 61-90, and 90+ day buckets.

Build horizontal aging reports using Coefficient

The solution involves importing your QuickBooks AR data into Excel or QuickBooks data into Google Sheets, then using spreadsheet tools to create the horizontal layout QuickBooks can’t provide.

How to make it work

Step 1. Import your AR aging data from QuickBooks.

Use Coefficient to pull in your A/R Aging Detail or A/R Aging Summary report. This gives you customer names, invoice details, amounts, and aging information in a format you can work with.

Step 2. Create aging bucket columns with formulas.

Add calculated columns for each aging period. Use formulas like =IF(TODAY()-[Due Date]<=30,[Amount],0) for the 1-30 day bucket. Repeat this pattern for each aging period you need (31-60, 61-90, 90+).

Step 3. Build a pivot table for horizontal display.

Create a pivot table with customer names in rows and aging periods as columns. Set invoice amounts as values. This transforms the vertical QuickBooks data into the horizontal layout you want.

Step 4. Set up automated refresh.

Schedule hourly or daily data refreshes so your horizontal aging report stays current. Your pivot tables and formulas automatically recalculate with fresh QuickBooks data.

Step 5. Add conditional formatting and analysis.

Highlight overdue accounts with color coding. Add summary statistics by aging bucket or combine with other QuickBooks data for comprehensive receivables analysis.

Get the aging report QuickBooks can’t deliver

This approach eliminates manual Excel exports and gives you a live, customizable horizontal AR aging report that updates automatically. Start building your horizontal aging reports today.

QuickBooks Online’s native reporting offers limited year-over-year comparison functionality, typically restricted to basic profit & loss comparisons without customization options. Creating detailed YoY analyses for specific metrics, customers, or products requires extensive manual work.

Here’s how to create sophisticated year-over-year comparisons that update automatically with live data.

Build dynamic year-over-year comparisons using Coefficient

Coefficient enables sophisticated year-over-year comparisons through flexible data import and spreadsheet capabilities. You can import historical data from multiple periods, structure data in columns by year for easy comparison, and calculate YoY growth rates and trends automatically.

How to make it work

Step 1. Import historical data from multiple periods using date filters.

Use Coefficient’s “From Objects & Fields” method to import two years of sales data from QuickBooks . Apply date filters to get data for the same periods in consecutive years (e.g., Jan-Dec 2023 and Jan-Dec 2024).

Step 2. Structure data in columns by year for comparison.

Organize your imported data with separate columns for each year. Create a layout with categories or customers in rows and years in columns, making it easy to compare performance side-by-side.

Step 3. Add calculated columns for YoY change percentages.

Create formulas to calculate year-over-year growth: =((Current Year – Previous Year)/Previous Year)*100. Add additional calculations for absolute change amounts and variance analysis.

Step 4. Build pivot tables for detailed comparisons by segment.

Create pivot tables that compare performance by customer, product, or region. This allows you to drill down into specific areas driving growth or decline in your year-over-year analysis.

Step 5. Add conditional formatting and visual elements.

Use conditional formatting to highlight significant variances, add sparklines to show trends within cells, and create charts that visualize your year-over-year comparisons. Set up dynamic date ranges that automatically adjust periods.

Step 6. Schedule daily refreshes to maintain current comparisons.

Configure automated refreshes so your YoY comparisons update with fresh QuickBooks data. This keeps your analysis current as new transactions are recorded.

Transform static period comparisons into dynamic dashboards

This approach creates year-over-year analyses that update automatically and provide deep insights into business performance trends. Start building dynamic YoY comparisons that reveal the story behind your numbers.

Finance and collections teams can build a columnar AR aging report with customer names in rows and each aging bucket in its own column by importing QuickBooks AR data into Google Sheets or Excel using Coefficient’s QuickBooks connector and applying bucket formulas on top. QuickBooks AR aging reports use fixed vertical layouts. There is no way to restructure the native report so that Current, 1-30, 31-60, 61-90 and over-90 balances appear as separate columns per customer row, which is the format most collections teams and CFOs actually want to work from.

A common challenge for finance teams presenting AR to leadership or the board: the QuickBooks format requires significant manual restructuring before it can be used in a management report or shared with a collections team for prioritisation.

How to build a columnar AR aging report from QuickBooks data

Step 1. Import AR Aging Detail data using From QuickBooks Report

Open Coefficient in Google Sheets or Excel and select Import from QuickBooks. Choose From QuickBooks Report and select A/R Aging Detail. This pulls individual invoice-level data including customer name, due date and outstanding balance for every open invoice. You can also use From Objects and Fields on the Invoice object if you need additional fields not included in the aging report, such as the sales rep or payment terms.

Step 2. Calculate days overdue and assign each invoice to a bucket

Add a formula column calculating days overdue as today’s date minus the due date. Add a second column assigning each invoice to a bucket using nested IF logic: zero to 30 days maps to Current, 31 to 60 maps to bucket one, 61 to 90 to bucket two, 91 to 120 to bucket three and anything over 120 to the final bucket. This gives you the bucket assignment on every row that your summary formulas will reference.

Step 3. Build the columnar summary table with one row per customer

Create a summary table with Customer Name in column A and one column per aging bucket across columns B through F. Use SUMIFS in each bucket column to sum the balance for that customer and that bucket assignment. Add a Total Outstanding column summing across all buckets. This produces the exact horizontal layout that QuickBooks cannot generate natively.

Step 4. Apply conditional formatting and schedule daily refresh

Apply red conditional formatting to the over-90 column and amber to 61-90 for any customer with a non-zero balance in those buckets. Set a daily refresh in Coefficient so aging calculations update automatically as invoices age and payments are received. Enable Formula Auto Fill Down so the bucket formulas extend automatically when new invoices appear in the import.

What you get

Collections teams start every day with a current columnar aging view that shows each customer’s exposure across every bucket without any manual restructuring. Overdue accounts stand out through conditional formatting. Leadership and board presentations use the same live data rather than a manually reformatted snapshot from last week.

Start building your columnar AR aging report today at coefficient.io/get-started.

QuickBooks Online exports reports as static values only, stripping all formulas and leaving you with dead data that requires manual recreation of calculations. This limitation significantly hampers financial analysis workflows.

Here’s how to maintain live connections between QuickBooks and your spreadsheets while preserving all formulas.

Maintain live formulas with QuickBooks data using Coefficient

Coefficient revolutionizes this process by maintaining live connections between QuickBooks and your spreadsheets. You can build formulas around imported data, and those formulas remain intact while automatically recalculating when data refreshes.

How to make it work

Step 1. Import QuickBooks reports directly into your spreadsheet.

Use Coefficient to pull your QuickBooks data into Google Sheets or Excel. The data maintains a live connection rather than being a static export.

Step 2. Build your formulas and calculations around the imported data.

Create calculated columns, summary formulas, and complex analyses using the live QuickBooks data as your foundation. These formulas reference the connected data cells.

Step 3. Set up automated refresh schedules.

Configure hourly, daily, or weekly refreshes so your QuickBooks data updates automatically. When the data refreshes, all your formulas recalculate with the new values.

Step 4. Export enhanced reports with formulas preserved.

When you share or export your spreadsheet, all formulas remain intact and functional. Recipients can see both the current data and the calculation logic behind your analysis.

Step 5. Share spreadsheets for collaborative analysis.

Team members can access the live data and formulas, make their own calculations, and contribute to the analysis without losing the connection to QuickBooks.

Create truly dynamic financial reports

This approach combines QuickBooks accuracy with spreadsheet analytical power, creating reports that update automatically while preserving your calculation logic. Start building dynamic reports that maintain their formulas and connections.

Creating a rolling 13-month P&L with live data refresh is straightforward with Coefficient . The key is setting up dynamic date ranges that automatically adjust each day, eliminating manual date updates while preserving historical data as new months are added.

Here’s the complete implementation guide to automate your rolling P&L with live refresh capabilities that keep your financial reporting current without any manual intervention.

Set up your rolling P&L with live refresh using Coefficient

The power comes from dynamic date filtering that creates a true rolling window. When you set the start date as “13 months ago from today” and end date as “today,” this creates a rolling window that automatically adjusts each day. Your historical data is preserved while new data appends, and all your Excel calculations remain intact during refreshes.

How to make it work

Step 1. Connect and configure your initial setup.

Install Coefficient in Excel or Google Sheets and connect to QuickBooks Online using admin credentials. Choose “Import from Objects & Fields” option and select “Profit and Loss” or build from “Account” object for more customization.

Step 2. Set up dynamic date ranges for the rolling window.

Configure your start date using the formula =TODAY()-395 (which equals 13 months) or use Coefficient’s date picker with “13 months ago” option. Set end date as =TODAY(). This creates the rolling window that automatically adjusts without any manual updates needed.

Step 3. Choose fields and apply smart filters.

Select Account Name, Account Type, Amount, Month/Period, and Class/Location if using. Apply filters for Account Type = “Income” OR “Expense” and Active Status = “True.” Add any department or class filters needed for your specific P&L structure.

Step 4. Enable live refresh scheduling.

Click “Schedule” in the import sidebar and select refresh frequency—daily at 6 AM for overnight updates or hourly for real-time reporting needs. Enable “Keep formulas and formatting” option to preserve your Excel calculations and formatting during each refresh.

Step 5. Enhance your report with calculated columns.

Add calculated columns for month-over-month variance, 13-month average by account, and percentage of revenue calculations. Create summary sections for gross margin trends, operating expense ratios, and rolling EBITDA calculations. Use pivot tables on the imported data for flexible analysis.

Step 6. Set up monitoring and alerts.

Configure email alerts for when refresh completes, set up error notifications for connection issues, and create a dashboard sheet that references the live data. Export the configuration to reuse for other rolling reports like cash flow or balance sheet analysis.

Start your automated rolling P&L today

This solution eliminates the manual export process entirely while providing more flexibility than QBO’s native reporting. Your rolling 13-month P&L will automatically maintain exactly 13 months from today with zero intervention needed. Get started with your automated rolling P&L and transform your financial reporting workflow.

Since QuickBooks Online API doesn’t support custom reports including Transaction List By Account, you need to reconstruct this data using available API endpoints. The solution involves accessing transaction objects directly with account-specific filtering.

Here’s how to extract Transaction List By Account data using a more reliable method that actually gives you better control than the missing API endpoint.

Rebuild Transaction List By Account using direct object access

Coefficient solves this challenge through its Objects & Fields import method, which accesses QuickBooks transaction data directly and applies the filtering you need to recreate Transaction List By Account structure.

How to make it work

Step 1. Select Transaction objects from QuickBooks .

Choose the Objects & Fields import method and select Transaction objects. This gives you access to all transaction data that would normally appear in Transaction List By Account reports.

Step 2. Apply account-based filtering with AND/OR logic.

Use Coefficient’s advanced filtering to isolate transactions for specific accounts. Set up filters for account types, date ranges, and any other criteria your Transaction List By Account report needs.

Step 3. Choose relevant fields for your report structure.

Select fields like date, amount, memo, account name, and transaction type. Coefficient automatically maps these fields and handles the account ID to account name conversion that manual API calls would require.

Step 4. Set up dynamic date filters for ongoing automation.

Use dynamic date-logic filters like “last 30 days” or “current month” so your Transaction List By Account data automatically updates with the right time periods without manual adjustments.

Step 5. Schedule automated refreshes.

Set up hourly, daily, or weekly refreshes to keep your transaction data current. This eliminates the manual work of repeatedly extracting Transaction List By Account data.

Start extracting your transaction data by account

The missing custom reports API doesn’t have to limit your QuickBooks data access. This approach gives you Transaction List By Account data with better automation and filtering than the original API would have provided. Get started with your transaction data extraction today.