Spreadsheet Errors Cost Firms $12.9M a Year, Gartner Estimates
Global – October 27, 2026 -- Poor data quality costs organizations an average of $12.9 million a year, according to Gartner estimates cited in an Alteryx analysis that frames recurring, multi-source reporting as the point where Excel stops being the right tool.
Repeatability, not row capacity, is where Excel breaks
Excel holds more than a million rows per sheet and rarely reaches that limit. The failure comes when source data changes shape, such as a renamed column, a new region added mid-quarter or an extra week in a date range. The manual process then gets rebuilt from memory instead of re-run.
Industry studies cited in the analysis found that 90% of spreadsheets with more than 150 rows contain at least one major mistake. The analysis attributes this to the format, which has no built-in error control, rather than to analyst skill.