Will numeric sort work correctly on valuation multiples like EV/EBITDA or P/E?

Yes, provided the column contains clean numeric values without text labels. Values like '10.5' sort correctly as numbers — 9.8 before 10.5 before 11.2. If your export includes 'x' suffixes or parentheses for negatives, remove those first for accurate numeric sorting.

Can I sort a historical earnings CSV chronologically by fiscal quarter?

Date and period columns in consistent formats — e.g. '2024Q1', '2024-03-31' — sort correctly in ascending order using text comparison when the format is lexicographically consistent. ISO date format (YYYY-MM-DD) is the most reliable.

Does this work for comp tables with 20–50 companies?

Yes. The tool handles files of this size instantly. Sort by any metric column — market cap, revenue, or a valuation multiple — and get a ranked output in seconds.

Will my column headers and all data fields be preserved?

Yes. Only row order changes. All column names, values, and structure are preserved exactly — the sorted file is a direct replacement for the original.

Sort Financial Model Inputs and Comp Table CSVs by Any Metric

Financial analysts pull CSVs from Bloomberg, CapIQ, Refinitiv, and internal models constantly — and the row order almost never matches how the analysis needs to be presented. Deliteful's CSV Sort tool reorders any financial data CSV by ticker, date, metric, or rank without opening Excel or writing a formula.

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Comparable company analyses, DCF input tables, and earnings data pulls all require sorted presentation: comps ranked by EV/EBITDA, historicals ordered chronologically, or a screen output sorted by market cap descending. Doing this in Excel on a 2,000-row data pull is straightforward, but it introduces risk — accidental cell edits, broken references, or a colleague receiving the unsorted version. Sorting at the file level before the model touches it is cleaner.

Deliteful's numeric sort handles financial data correctly: 10.5x sorts after 9.8x, not before it, which is the silent bug that text sorting introduces in Excel when columns aren't explicitly formatted as numbers. Output is UTF-8 encoded and column-structure-preserving, so the sorted CSV re-imports into Excel, Google Sheets, or a Python model without any structural changes.

How it works

1
Export your data pull or comp table as CSV
Export from Bloomberg, CapIQ, your model, or any data source as a standard CSV.
2
Upload to Deliteful
Drop the CSV into the uploader — no cleanup needed if the file has a standard header row.
3
Enter the sort column
Type the exact column header — e.g. 'ev_ebitda', 'market_cap', 'fiscal_year', or 'ticker'.
4
Download and use in your analysis
The sorted CSV is ready to import into your model, slide, or report as a clean, ordered input.

Frequently asked questions

Will numeric sort work correctly on valuation multiples like EV/EBITDA or P/E?: Yes, provided the column contains clean numeric values without text labels. Values like '10.5' sort correctly as numbers — 9.8 before 10.5 before 11.2. If your export includes 'x' suffixes or parentheses for negatives, remove those first for accurate numeric sorting.
Can I sort a historical earnings CSV chronologically by fiscal quarter?: Date and period columns in consistent formats — e.g. '2024Q1', '2024-03-31' — sort correctly in ascending order using text comparison when the format is lexicographically consistent. ISO date format (YYYY-MM-DD) is the most reliable.
Does this work for comp tables with 20–50 companies?: Yes. The tool handles files of this size instantly. Sort by any metric column — market cap, revenue, or a valuation multiple — and get a ranked output in seconds.
Will my column headers and all data fields be preserved?: Yes. Only row order changes. All column names, values, and structure are preserved exactly — the sorted file is a direct replacement for the original.