A Step-by-Step Guide to Exporting Jira Data to Excel in 2026

Need a clean Jira report? Learn how to export jira to excel in 2026, select the right fields, and avoid formatting errors. Read now to get started.

Need Jira issues in Excel for a status report, audit, or handoff? Exporting the wrong fields can leave you with missing values, confusing dates, or thousands of rows you never needed.

That becomes a bigger headache when you share the result, filter it, or try to repeat the same report next month. But here's the truth: a reliable export starts before you click the export button. Define the right issues, choose useful columns, and import the CSV carefully into Excel. This step-by-step guide shows you how to export Jira to Excel in 2026, check the results, and avoid common formatting problems. Jira menus can differ slightly across Cloud and Data Center, so use the closest matching option in your interface.

How to Export Jira Issues to Excel

The dependable route is to filter the Jira issues you need, select the right fields, export them as CSV, then import that CSV into Excel. Jira menu labels may vary, but the workflow is similar across versions.

Confirm your Jira access and export scope

Sign in to the Jira project and check that you can view the issues you want to include. Your permissions determine which projects and issue details are visible.

Decide whether you need a full project extract or a targeted report. For example, a sprint review may need only issues assigned to one sprint, while an audit might require a broader date range.
Filter the issues you need

Open Jira’s issue search or issue navigator. Use basic filters or JQL to narrow the results by project, status, assignee, sprint, or dates.

For example, a project manager could filter for unresolved issues in a specific project. Check the result count and scan several rows before exporting. A precise filter is easier to review than a large, unfocused export.
Choose the fields and columns

Arrange the issue list to show the fields you plan to use in Excel. Common choices include issue key, summary, status, assignee, priority, created date, and due date.

Custom fields may also be available, depending on your permissions and Jira setup. Remove columns you do not need. A focused set of fields makes sorting and sharing the exported results simpler.
Export the Jira results

Use the export menu in the issue navigator. Choose an option such as Export Excel CSV or CSV (current fields) when you want the visible columns.

If you need additional issue fields, Jira may offer an option such as CSV (all fields). That choice can create a much wider extract, so use it only when those extra details are required.
Import the CSV into Excel

In Excel, use Data > From Text/CSV to open the exported CSV. Check the character encoding and delimiter in the preview, then load the results.

Importing through Excel’s data tools gives you a chance to confirm how dates, text, and columns will appear. Double-clicking a CSV may open it immediately, but Excel can interpret some values differently than you expect.
Check the results and save an Excel workbook

Compare the number of exported rows with Jira’s result count. Check several issue keys, summaries, dates, and custom fields against the Jira results.

When the content looks right, save it as an Excel workbook in .xlsx format. Keep an untouched copy of the original CSV if you may need to repeat the import or investigate a formatting issue.

Choose the Right Export Option

Jira’s CSV options suit different reporting needs. The best choice depends on whether you need the visible issue columns or a broader set of fields.

Option	Best for	Watch for
CSV with current fields	Routine reporting using the columns shown in the issue navigator	Fields that are not displayed may be left out
CSV with all fields	Investigations that need a wider range of issue details	Extra fields can make results harder to review
Excel CSV option	Opening exported results in Excel	Confirm the output and formatting in your Jira version

For a weekly team update, current fields may be enough: issue key, status, assignee, and due date. For a custom audit, you may need additional fields, but check the export preview or results carefully.

Here's why: exporting every available field can add clutter and make it harder to spot the details that matter. Start with the smallest useful field set, then expand it only when the report requires more.

Prepare Jira Issues Before Exporting

A useful Excel report depends on what you select in Jira. Before exporting, confirm your filter includes the right project, issue types, and date range.

Suppose you need work completed during the previous month. A filter for completed issues alone may include old work. Add a completion-date condition and verify the first and last results before exporting.

Check whether your Jira search returns more issues than the export can handle. Large extracts may run into Jira limits or take longer to prepare, depending on your environment. Split a broad search into smaller date ranges or project groups when needed.

You might be wondering: should you use basic search or JQL? Basic search works well for a quick, simple report. JQL gives you more control when combining several conditions or repeating a report regularly.

Keep Excel Formatting Accurate

CSV is a plain-text format, so it does not preserve Excel styling, formulas, or workbook features. You can still use it to transfer issue values, then save the result as an Excel workbook.

Dates and long numeric values deserve extra attention. Excel may display a date in a different format or remove leading zeros from an identifier. Importing through Data > From Text/CSV lets you inspect columns before loading them.

Text fields can also include commas, line breaks, or special characters. Check the import preview and confirm that each issue stays on one row with values in the expected columns.

The best part? A quick quality check catches many problems before a report reaches your team. Compare several exported records with Jira, especially when the export includes custom fields or long descriptions.

Make Repeat Exports Easier to Manage

If you export the same report every week, keep a clear record of its filter criteria, selected fields, and import settings. That makes it easier to repeat the process consistently.

For example, a support lead might export open high-priority issues every Monday. Saving the JQL query and using the same columns each time helps make week-to-week comparisons more meaningful.

Also consider who will receive the workbook and what they need to do with it. A leadership summary may need only a few fields, while a team review may require assignee, sprint, and status details.

Let me explain: a repeatable workflow reduces manual cleanup. It also makes it easier to identify when the filter, field configuration, or Jira results have changed.

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Common Challenges When Exporting Jira to Excel

The export is missing fields. The visible-column option may include only fields shown in the issue navigator. Add the required fields before exporting or use a broader export option, then review the extra columns.
Dates or identifiers look different in Excel. Excel may automatically interpret some values. Import the CSV through the data import tools and set the affected columns to the appropriate type.
The export contains too many issues. Refine the Jira filter by project, status, sprint, or date range. For a very large search, divide it into smaller groups and verify the resulting counts.
Text appears in the wrong columns. Review the delimiter and encoding in Excel’s import preview. Check rows with commas, line breaks, or special characters before loading the results.

Frequently Asked Questions

Can I export Jira issues directly to an Excel workbook?

Jira commonly exports issue results as CSV, including through options intended for Excel. CSV is not the same as an .xlsx workbook. Import the CSV into Excel, check the columns and formatting, then save the results as an Excel workbook if you need workbook features such as formatting or formulas.

How do I export only selected Jira issues?

Filter the issue navigator before exporting. Use basic search for straightforward criteria, such as a project or status, or JQL for more specific combinations. Confirm the result count and inspect several issues to make sure the filter includes the intended records. Then export the filtered results using the appropriate CSV option.

Why are some Jira fields missing from my export?

The export may include only the fields displayed in your issue navigator, depending on the option you selected. Add the missing fields to the issue view and try the current-fields export again, or select an all-fields option if the additional details are necessary. Field access can also depend on your Jira permissions and configuration.

Why do Jira dates or issue values change in Excel?

Excel may automatically interpret CSV values when opening them, which can alter date display or remove leading zeros from text-like identifiers. Import through Data > From Text/CSV and inspect the preview. Set sensitive columns to text or the appropriate date format before loading them.

Can I automate a recurring Jira export?

You can make recurring exports more consistent by saving the Jira search criteria and reusing the same field selection and Excel import settings. Jira features, permissions, and available automation options vary by environment. If you need a scheduled export, check which reporting or automation capabilities your Jira setup supports.

Conclusion

To export Jira issues to Excel, filter the right records, select useful fields, export them as CSV, and import the results carefully. Check the row count, dates, identifiers, and custom fields before sharing the workbook.

That small review can prevent missing details and messy reports. When you need the same export regularly, keep the filter and field choices consistent. A clear process makes Jira reporting easier to repeat and easier for your team to trust.