How do I remove duplicate price observations from a Bloomberg Excel export?

Upload the export to Deliteful and enter 'date' or your observation identifier column. The tool removes duplicate rows per worksheet, keeping the first occurrence, and returns a clean file in seconds.

Can I deduplicate a workbook where each sheet covers a different security?

Yes. Each sheet is deduplicated independently in a single upload. Specify the column that uniquely identifies rows within each sheet, such as 'date' for time-series data.

What if I need to deduplicate on a combination of two columns, like ticker and date?

Deliteful currently supports deduplication on a single column or full-row matching. For composite key deduplication, concatenate the two columns into a helper column in Excel first, then specify that column as the key.

Does the output preserve my formulas and formatting?

No — the output is values-only. Use it as a clean data source to paste into your formatted model rather than as a replacement for your working workbook.

Deduplicate Financial Model Inputs and Market Data Exports in Excel

Financial analysts pulling market data from Bloomberg, Refinitiv, or FactSet into Excel frequently encounter duplicate rows — from overlapping pull windows, re-run queries, or merged datasets from multiple sources. Deliteful removes duplicate rows from every worksheet in your workbook by ticker, CUSIP, date, or any key column, so your model inputs are clean before you build.

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Duplicate rows in financial data have outsized consequences. A duplicated price observation inflates return calculations; a repeated security in a holdings export skews portfolio weight; a double-counted earnings row breaks a DCF. These errors are easy to miss in large datasets and expensive to catch after the fact. Bloomberg terminal exports and FactSet downloads in particular can produce overlapping rows when queries are re-run with partially overlapping date ranges or when data from multiple analysts is combined.

Deliteful processes every worksheet in a workbook in one upload. Specify a key column — 'ticker', 'cusip', 'date', or a composite identifier you've pre-concatenated — and the tool removes all subsequent duplicate rows per sheet, keeping the first occurrence. For workbooks where each sheet represents a different security or time period, each sheet is cleaned independently. Output is values-only — no formulas — ready to paste into your model or feed into a downstream analysis.

How it works

1
Export your market data or model inputs to Excel
Pull your Bloomberg, FactSet, or internal data export as an .xlsx or .xls file.
2
Upload to Deliteful
Upload the workbook — all worksheets are processed in a single step.
3
Enter your key column
Type the column name used to uniquely identify each row (e.g., 'ticker', 'cusip', or 'date').
4
Download and paste into your model
Receive a deduplicated Excel file with clean data rows ready for model input or further analysis.

Frequently asked questions

How do I remove duplicate price observations from a Bloomberg Excel export?: Upload the export to Deliteful and enter 'date' or your observation identifier column. The tool removes duplicate rows per worksheet, keeping the first occurrence, and returns a clean file in seconds.
Can I deduplicate a workbook where each sheet covers a different security?: Yes. Each sheet is deduplicated independently in a single upload. Specify the column that uniquely identifies rows within each sheet, such as 'date' for time-series data.
What if I need to deduplicate on a combination of two columns, like ticker and date?: Deliteful currently supports deduplication on a single column or full-row matching. For composite key deduplication, concatenate the two columns into a helper column in Excel first, then specify that column as the key.
Does the output preserve my formulas and formatting?: No — the output is values-only. Use it as a clean data source to paste into your formatted model rather than as a replacement for your working workbook.

Create your free Deliteful account with Google and clean your market data exports before your next model build — no card required.