Excel Formula SQRT

Returns the square root of a number.

Syntax

Formula structure

Source: Quadratic docs
=SQRT(number)
number
Required: Yes

Required argument used by the SQRT formula.

Examples for the excel formula sqrt

Copy these examples into a spreadsheet and adjust the ranges for your own data.

SQRT syntax pattern

=SQRT(number)

Use this SQRT pattern as the starting point for your spreadsheet formula.

SQRT in a worksheet

=SQRT(A2)

Returns the square root of a number.

When to use SQRT

Use SQRT when you need to return the square root of a number.

  • Build totals, rounded metrics, and numeric calculations.
  • Clean up numeric inputs before analysis.

How SQRT works in Quadratic

In Quadratic, SQRT follows the syntax SQRT(number). The function works inside Quadratic formulas and can be combined with spreadsheet ranges, tables, and other formulas.

Common SQRT mistakes

Most SQRT issues come from mismatched argument types, ranges that do not cover the intended data, or optional parameters being omitted when the default behavior is not what you expected.

  • Check each required parameter before copying the formula across a sheet.
  • Confirm that ranges line up with the rows or columns you intend to analyze.
  • Use Quadratic AI to explain or debug the formula when the result looks wrong.

Related formulas

SQRT formula FAQ

What does the excel formula sqrt do?

SQRT returns the square root of a number.

What is the syntax for SQRT?

The syntax is SQRT(number). Required and optional parameters are listed at the top of this guide.

Can Quadratic AI help with SQRT?

Yes. Quadratic AI can write a SQRT formula, explain existing formula logic, or help debug broken references and unexpected results.

Quadratic AI

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Spreadsheet formulas are powerful, but they get painful fast. A SQRT formula can start simple, then turn into logic that is hard to understand, easy to break, and difficult to share with the rest of your team.

Quadratic AI helps you write formulas, explain formula logic, debug broken references, and move beyond formulas when advanced analysis needs Python, SQL, charts, or connected data.

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Why formulas slow teams down

  • Long formulas become hard to read, understand, and trust.
  • Formula logic breaks when rows, columns, or assumptions change.
  • Manual updates make dashboards and reports fragile over time.
  • Complex formulas are difficult to explain, review, and share with teammates.
  • Advanced analysis quickly outgrows formula-only workflows.