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NumXL

#30 of 106 in Statistical Analysis Software

NumXL: An Excel-based toolkit for econometrics, time-series modeling, and portfolio measures. Ranked #30 of 106 in Statistical Analysis Software by our editors (6.5/10); pricing: 14-day trial; best for excel users focused on econometrics and time series.

6.5/10Editor score
NumXL6.5 Visit NumXL

At a glance

  • Editor score
    6.5 / 10
  • Pricing
    14-day trial
  • Best for
    Excel users focused on econometrics and time series
  • Free plan
    No
  • Deployment
    Desktop
  • Facts checked
    25 Sep 2026
NumXL screenshot
  • Where it wins

    • Runs statistical tests and regression models within Microsoft Excel.
    • Includes ARMA/ARIMA and ARCH/GARCH time-series methods.
    • Adds portfolio measures such as value at risk and Sharpe ratio.
  • Where it doesn't

    • Requires Microsoft Windows-based Excel; Mac use requires Windows virtualization.
    • Analyses depend on Excel rather than a separate statistical application.
    • No free plan; ongoing use requires a paid subscription or perpetual license.

Our verdict on NumXL

NumXL is a desktop add-in for Microsoft Excel that brings statistical analysis and econometric modeling into workbooks. It is aimed at Excel users, from students to business teams, who want to analyze time-series data, build forecasts, or assess portfolios without moving their work to a separate application. Its methods include regression, statistical and hypothesis tests, ARMA/ARIMA and ARCH/GARCH modeling, data fitting, transformations, sampling, and portfolio measures. Spreadsheet functions and interface wizards support analysis, while workbook results can be shared and calculations traced.

The Excel connection is the product’s defining fit: analyses can be built and updated in workbooks, with tests for normality, autocorrelation, stationarity, and cointegration alongside simple and multiple linear regression. Time-series tools cover seasonal modeling, volatility modeling, transformations, and forecasting; portfolio measures include value at risk, Sharpe ratio, and maximum drawdown. This breadth makes NumXL relevant to users whose statistical work already centers on spreadsheets. It is less suitable for someone seeking an independent statistical application or a workflow not based on Excel.

NumXL requires Microsoft Windows-based Excel. Mac users need to run Windows through virtualization, so the platform requirement is an important constraint before choosing it. The vendor offers a 14-day trial and paid commercial, academic/government/non-profit, and student options. Subscription plans include full features, support, and updates; perpetual options include full features and 12 months of support and updates. The product lists email, chat, and documentation as support channels, and a 30-day money-back guarantee excludes monthly subscriptions. Choose NumXL if Excel is central to your econometrics or forecasting work and Windows is available; look elsewhere if you need Mac-native use or want analysis outside Excel.

Your product? Our editors can test NumXL in depth and publish a review, labelled as paid · from $149/mo →

NumXL pricing

Plans 14-day trial No free plan — trial or paid only. Prices checked 25 Sep 2026.
See plans on numxl.com

All 7 NumXL plans and prices →

NumXL fact sheet

Free planNo
Paid fromNot verified
DeploymentDesktop
Statistical testsYes
Regression modelsYes
Scripting supportYes
Bayesian analysisNot verified
Data import formatsExcel spreadsheets/workbooks
Free trial14 days
Money-back guarantee30 days
DeploymentDesktop
PlatformsWindows
Compliance & securityPCI DSS
SupportEmail, Live chat, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations1 integrations: Microsoft Excel
Pricing14-day trial (source)
Websitenumxl.com
Facts checked25 Sep 2026

NumXL integrations

NumXL lists 1 integrations on its own site.

  • Microsoft Excel

Alternatives to NumXL

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Featured on iTechGuides

Featured on iTechGuides — NumXL 6.5/10

NumXL is listed in our Statistical Analysis Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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