Ever feel like you’re spending more time wrestling with Excel than actually analyzing your data? For accounting and finance professionals, the pressure to deliver accurate, insightful reports—often ...

MarketXLS is an early investment research platform to support MCP for Excel-based financial workflows, helping professionals generate complete Excel analysis workbooks faster than ever.

What if you could predict a company’s financial future with precision, make data-driven decisions, and impress stakeholders, all using one tool? Excel, often underestimated as a simple spreadsheet ...

Upgrade your spreadsheets with BYCOL to consolidate column logic, prevent manual errors, and build automated reporting dashboards.

The PMT function is an Excel Financial function that returns the periodic payment for an annuity. The formula for the PMT function is PMT(rate,nper,pv, [fv], [type]). The NPV function returns the net ...

SUMIF, SUMIFS, AVERAGEIFS, and COUNTIFS are commonly used accounting functions in Microsoft Excel. These formulas are used to calculate cell values based on the criteria you have described or ...

In Microsoft Excel, common size financial statements compare cells against the balance total to determine what percent those figures have increased or decreased. Excel creates a new blank column in ...

Formulas are powerful tools for performing calculations and analyzing data in Excel. In this beginner’s guide, you’ll learn how to use formulas and explore some popular built-in functions. One of the ...

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Q. I am trying to create a formula in our accounting system, but I keep getting errors. What can I do to get the formula to work? A. All Excel users know how powerful formulas are, but sometimes it ...

Excel percentage formulas can get you through problems large and small every day—from determining sales tax (and tips) to calculating increases and decreases. We’ll walk through several examples below ...

BYROW replaces thousands of table formulas with one spill formula, making spreadsheets leaner and much more robust.