IFERROR Formula

Returns fallback if there was an error computing value; otherwise returns value.

Syntax

Formula structure

Source: Quadratic docs
=IFERROR(value, fallback)
value
Required: Yes

Required argument used by the IFERROR formula.

fallback
Required: Yes

Required argument used by the IFERROR formula.

Examples for the iferror formula

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

IFERROR syntax pattern

=IFERROR(value, fallback)

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

IFERROR in a worksheet

=IFERROR(value, fallback)

Returns fallback if there was an error computing value; otherwise returns value.

When to use IFERROR

Use IFERROR when you need to return fallback if there was an error computing value; otherwise returns value.

  • Branch spreadsheet logic based on conditions.
  • Handle errors and combine boolean checks.

How IFERROR works in Quadratic

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

Common IFERROR mistakes

Most IFERROR 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

IFERROR formula FAQ

What does the iferror formula do?

IFERROR returns fallback if there was an error computing value; otherwise returns value.

What is the syntax for IFERROR?

The syntax is IFERROR(value, fallback). Required and optional parameters are listed at the top of this guide.

Can Quadratic AI help with IFERROR?

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

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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.