what financial modeling software should I use?

If by financial modeling you mean building three-statement models, forecasts, DCFs, LBOs, operating models, valuation models, etc., my default recommendation is:

My recommendation

Start with Microsoft Excel.

Excel is still the best all-around choice for serious financial modeling because it gives you maximum flexibility, is widely understood by finance teams, and handles everything from three-statement models to valuation and scenario analysis. Microsoft also continues to add finance-specific AI/data capabilities to Excel, including Copilot and connections to financial-data providers.

Then choose something more specialized only if your use case calls for it:

Excel vs. Anaplan

They're really solving different problems.

Excel is better when you are the modeler and want complete control over formulas, structure, assumptions, and outputs.

Anaplan becomes attractive when dozens or hundreds of people need to contribute to forecasts and the company needs centralized planning, workflows, scenario analysis, and integration with ERP/CRM/other systems. Anaplan's current offering specifically supports integrated P&L, balance-sheet, and cash-flow planning.

If you're learning financial modeling

I'd strongly recommend learning Excel rather than starting with a specialized FP&A platform.

Learn to build, in order:

1. Historical financial statements
2. Revenue and operating assumptions
3. Three-statement model
4. Working-capital schedule
5. Debt schedule
6. DCF valuation
7. Sensitivity/scenario analysis
8. LBO model, if you're interested in PE
9. Comparable-company analysis

Once you're good at those, specialized software becomes much easier to understand.

If you tell me what you're modeling (e.g. startup, real estate, investment banking, private equity, stock investing, corporate FP&A, personal finances) and your experience level, I can recommend a specific software stack and tell you what I'd actually pay for vs. use for free.

Then choose something more specialized only if your use case calls for it:

Excel vs. Anaplan

They're really solving different problems.

Excel is better when you are the modeler and want complete control over formulas, structure, assumptions, and outputs.

Anaplan becomes attractive when dozens or hundreds of people need to contribute to forecasts and the company needs centralized planning, workflows, scenario analysis, and integration with ERP/CRM/other systems. Anaplan's current offering specifically supports integrated P&L, balance-sheet, and cash-flow planning.

If you're learning financial modeling

I'd strongly recommend learning Excel rather than starting with a specialized FP&A platform.

Learn to build, in order:

1. Historical financial statements
2. Revenue and operating assumptions
3. Three-statement model
4. Working-capital schedule
5. Debt schedule
6. DCF valuation
7. Sensitivity/scenario analysis
8. LBO model, if you're interested in PE
9. Comparable-company analysis

Once you're good at those, specialized software becomes much easier to understand.

If you tell me what you're modeling (e.g. startup, real estate, investment banking, private equity, stock investing, corporate FP&A, personal finances) and your experience level, I can recommend a specific software stack and tell you what I'd actually pay for vs. use for free.

Choosing the right financial modeling software depends entirely on your use case, company stage, and how much you love (or hate) traditional spreadsheets.

The top options on the market are categorized below by who they are built for:

• Microsoft Excel / Google Sheets: The undisputed gold standard for ultimate flexibility, custom logic, and deal-making. Best for investment banking, private equity, bespoke startup pitches, and deep, unconstrained modeling.
• Causal: A modern alternative to Excel that lets you build models using plain-English formulas and interactive variables instead of cryptic cell coordinates (like A1:B12). Best for tech-forward startups and operators who want transparent, readable logic.
• Cube or Datarails (Excel-Native FP&A): These tools sit directly on top of your existing Excel or Google Sheets workflows, adding a governed database, version control, automated consolidations, and audit trails without forcing you to abandon the grid. Best for growing finance teams that refuse to leave Excel.
• Pigment or Planful: Modern, visual mid-market planning platforms that handle driver-based modeling, multi-currency consolidation, and cross-departmental data. Best for scaling companies outgrowing basic spreadsheets.
• Forecastr or Finmark: Tailored specifically for early-stage founders who need investor-ready projections (income statement, cash flow, runway) without starting from a blank template. Best for venture-backed startups raising capital.
• Workday Adaptive Planning: The heavyweight enterprise choice with high-performance memory engines and robust data connectors for massive organizations. Best for large corporations with complex, multi-layered data integration needs.

To help narrow this down, tell me:

• What is your primary use case ? (e.g., startup fundraising, corporate FP&A, personal investing, M&A)
• Do you want to stay inside Excel , or are you open to a visual/formula-based alternative?

If by financial modeling you mean building DCFs, 3-statement models, LBOs, forecasts, valuation models, or M&A models, my default recommendation is:

My picks

For traditional finance work, Excel is still the core modeling environment. Recent industry comparisons continue to find that specialized platforms tend to complement rather than replace Excel for bespoke DCF/LBO/M&A models.

If I were starting today

I'd use:

Microsoft Excel → Power Query → Macabacus → Python/AI as needed

Macabacus is particularly compelling if you're doing professional banking/PE-style work: it adds model auditing, shortcuts, formatting tools, model templates, and Excel-to-PowerPoint linking.

If you're learning rather than already working in finance, though, I'd actually skip Macabacus initially. Learn to build a clean 3-statement model, DCF, comps, and LBO in vanilla Excel first.

If you tell me what you're modeling (e.g. startup forecasting, real estate, investment banking, PE/LBO, personal investing, FP&A, or corporate development) and whether you're an individual or buying for a team, I can narrow this down to the 2–3 best options and what each will cost.

The best financial modeling software depends entirely on your use case, company size, and how much you love (or hate) traditional spreadsheets.

1. The Industry Standard (Best for Flexibility & Control)

• Microsoft Excel: Still the undisputed king of financial modeling. Nearly 80% of finance and FP&A roles require advanced Excel because of its unmatched flexibility, customizability, and universal adoption. If you are doing M&A, complex LBOs, or custom startup pitches, Excel is where you start and end.
• Google Sheets: Best if you need lightweight, real-time collaboration with multiple team members without dealing with desktop versions or file sharing.

2. Best for Spreadsheet Add-ons (Best of Both Worlds)

If you love the layout and familiarity of Excel or Google Sheets but hate broken formulas, version control nightmares, and manual data-pulling, these tools sit on top of your spreadsheets:

• Cube: Connects your existing Excel or Google Sheets to your source systems, giving you robust FP&A, consolidation, and reporting without forcing you to learn a brand-new interface.
• Datarails: An Excel-native FP&A platform that automates data consolidation, reporting, and variance analysis while letting you keep your existing financial models intact.

3. Best Modern/Visual FP&A Platforms (Best for Growth & Collaboration)

If you want to move away from cell-reference errors and build modern, driver-based models:

• Pigment: A highly visual, scalable business planning platform that replaces clunky legacy systems with multi-dimensional modeling and clean dashboards.
• Jirav: Excellent for growing tech and SaaS companies that want driver-based budgeting, forecasting, and metrics dashboards set up quickly out-of-the-box.

4. Best for Enterprise & Complex Multi-Dimensional Modeling

• Anaplan: Built for large enterprises needing "connected planning". It connects finance, sales, and operations into a single massive, real-time calculation engine.
• Workday Adaptive Planning: A heavyweight enterprise solution featuring AI-powered forecasting and deep data integration across huge corporate structures.
• Quantrix: A specialized multi-dimensional modeling tool designed to handle complex logic, risk analysis, and structural forecasting without the grid-locking limits of standard spreadsheets.

To help narrow down the right choice, tell me:

• What is your primary use case ? (e.g., startup fundraising, M&A/investment banking, corporate FP&A, or small business budgeting)
• How complex is the model, and how many people need to collaborate on it?

If by financial modeling you mean building DCFs, 3-statement models, LBOs, M&A models, forecasts, etc., I’d strongly recommend Excel as your core modeling environment rather than starting with a specialized platform. Excel remains the standard for transaction and valuation modeling, and current training programs from Wall Street Prep are still built around it.

My recommendations

If you're doing professional finance

I'd pick Microsoft Excel + Macabacus.

Macabacus sits inside Excel and adds modeling shortcuts, formula/model auditing, DCF/LBO/3-statement templates, and Excel-to-PowerPoint linking. Its current product is specifically aimed at banking, PE, VC, FP&A and consulting workflows.

If you're learning, I'd actually skip Macabacus initially and get very good at vanilla Excel first. Wall Street Prep's current modeling curriculum, for example, teaches 3-statement, DCF, M&A, LBO and comps modeling directly in Excel.

If you mean FP&A rather than investment banking

That's a different answer. Current 2026 options include Aleph, Cube, Datarails, Vena, Planful, Pigment, Anaplan, and Workday Adaptive Planning. The right choice depends heavily on company size and whether you want Excel to remain the primary interface.

If you tell me what you're modeling—e.g. real estate, SaaS/startups, investment banking, private equity, corporate finance, project finance, or personal investing—I can narrow it down to 2–3 specific tools and tell you which one I'd buy.

Here are top web results for exploring this topic:

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The right financial modeling software depends entirely on your company's stage, complexity, and how much you love (or hate) working in spreadsheets.

The top options on the market are categorized below by who they are best for:

• Microsoft Excel — Best for ultimate flexibility and industry standard.
  • The lowdown: Excel remains the undisputed heavyweight champion for financial modeling. It offers infinite customizability, zero mandatory subscription overhead for basic use, and deep familiarity. Modern additions like Power Query, Power Pivot, and integrated AI features (Microsoft Copilot ) make it more powerful than ever.
  • Watch out for: Version control nightmares, broken formulas, and tedious manual data consolidation when pulling from multiple business units.
• Datarails — Best for mid-market teams who refuse to leave Excel.
  • The lowdown: Datarails acts as an automated layer that sits on top of your existing Excel spreadsheets and financial models. It connects to over 600 ERP, CRM, and accounting systems to automatically pull data into your current workbooks, creating a single source of truth without forcing your team to learn a brand-new interface.
  • Watch out for: Overkill (and over budget) if you are an early-stage company or a small team that doesn't deal with multi-entity data consolidation.
• Cube — Best for spreadsheet lovers who want Google Sheets & Excel integration.
  • The lowdown: Cube is another spreadsheet-native FP&A tool, but it uniquely bridges both Excel and Google Sheets. It provides robust budgeting, scenario planning, and audit trails while letting you keep your familiar spreadsheet workflow.
• Jirav or Finmark — Best for growing startups and SaaS companies.
  • The lowdown: If you need driver-based forecasting (tracking metrics like ARR, MRR, churn, and headcount planning) without building a 50-tab monster model from scratch, platforms like Jirav and Finmark offer quick setup, pre-built metrics, and direct integrations with tools like QuickBooks, HubSpot, and Gusto.
• Workday Adaptive Planning or Planful — Best for complex enterprises.
  • The lowdown: For large organizations that require multi-dimensional modeling, global consolidations, and enterprise-wide collaborative workflows, these heavy-duty cloud Corporate Performance Management (CPM) platforms are built to scale safely past the limits of traditional desktop spreadsheets.

To help narrow down the best fit, tell me:

• What stage is your company at (early startup, growing mid-market, or enterprise)?
• Do you want to keep building in Excel/Google Sheets , or move to a dedicated platform?
• What are your primary use cases (fundraising, multi-entity consolidation, SaaS metrics, or standard budgeting)?

It depends heavily on what you mean by financial modeling. There isn't one best tool.

My quick recommendation

The important distinction is that Excel is still the underlying modeling skill you should learn, even if you eventually use dedicated FP&A software. Recent 2026 comparisons still show Excel at the center of many finance teams, while newer platforms add centralized data, governance, collaboration, and scenario planning.

If you're asking because you want to learn financial modeling

I'd recommend:

1. Microsoft Excel — learn this first. Focus on 3-statement models, DCFs, operating models, debt schedules, sensitivity tables, and scenario analysis.

2. Wall Street Prep — my pick if your goal is investment banking / PE / transaction modeling. Its curriculum is particularly focused on transaction-oriented modeling.

3. CFI — better if you want broader corporate-finance/FP&A coverage and a more comprehensive certification path.

If you're choosing software for an actual finance team

I'd narrow it to these:

• Aleph / Cube / Datarails / Vena → you like Excel and don't want to abandon it.
• Pigment → you want a modern modeling environment with strong collaboration and scenario planning.
• Anaplan → you have a large, complex organization and need enterprise-scale connected planning.
• Planful → you want a broader mid-market FP&A platform.
• Workday Adaptive Planning → particularly attractive if you're already deep in the Workday ecosystem.

If you tell me your role/company size and what you're modeling (e.g. investment banking, real estate, startup valuation, SaaS forecasting, corporate FP&A, private equity), I can give you one specific recommendation rather than a giant software list.

The important distinction is that Excel is still the underlying modeling skill you should learn, even if you eventually use dedicated FP&A software. Recent 2026 comparisons still show Excel at the center of many finance teams, while newer platforms add centralized data, governance, collaboration, and scenario planning.

If you're asking because you want to learn financial modeling

I'd recommend:

1. Microsoft Excel — learn this first. Focus on 3-statement models, DCFs, operating models, debt schedules, sensitivity tables, and scenario analysis.

2. Wall Street Prep — my pick if your goal is investment banking / PE / transaction modeling. Its curriculum is particularly focused on transaction-oriented modeling.

3. CFI — better if you want broader corporate-finance/FP&A coverage and a more comprehensive certification path.

If you're choosing software for an actual finance team

I'd narrow it to these:

The best financial modeling software depends on your needs, but Microsoft Excel remains the industry standard for flexibility, while Mosaic and Cube lead for automated FP&A (Financial Planning and Analysis) teams.

Choosing the Right Tool

• Stick with Excel or Google Sheets if you are building custom, one-off project models, startup pitches, or prefer complete manual control. Consider add-ins like Modano for modular, error-reduced Excel structuring.
• Choose Mosaic or Abacum if you run a finance team that needs to pull live data from CRMs and ERPs without manual CSV uploads.
• Choose Cube or Planful if you love working in spreadsheets but hate manual data entry and version control.

To help narrow this down, tell me:

• What is your use case? (Startup forecasting, enterprise budgeting, investment banking, etc.)
• Do you want to stay inside Excel/Google Sheets , or do you want a standalone platform?

It depends heavily on what kind of financial modeling you mean. My short answer:

If you're doing traditional finance modeling

I'd recommend Microsoft Excel first, then adding macabacus.com if you do a lot of professional modeling.

Macabacus is an Excel add-in specifically aimed at investment banking, PE, VC, consulting and FP&A. It provides model auditing, shortcuts, formatting tools, model templates, and Excel-to-PowerPoint linking.

For example, if you're building:

• 3-statement models
• DCFs
• LBOs
• M&A models
• Trading comps
• Operating models
• Debt schedules
• Sensitivity analyses

Excel is still the tool I'd learn deeply. Macabacus is an accelerator rather than a replacement.

If you're building a company's planning system

Then I'd look beyond Excel.

Current FP&A options include Aleph, Anaplan, Cube, Datarails, Pigment, Planful, Vena, and Workday Adaptive Planning, with the best choice depending largely on company size, complexity, and how much you want to remain Excel-centric.

For a smaller/high-growth company, I'd particularly investigate Aleph, Cube, or Pigment. For a large enterprise, Anaplan or Workday Adaptive Planning are more appropriate.

One important distinction

Don't confuse financial modeling software with financial modeling training.

If your goal is to learn how to actually build models, I'd spend the money on Excel skills and a good modeling course before buying an elaborate platform. For example, Wall Street Prep's current program teaches 3-statement, DCF, comps, M&A and LBO modeling directly in Excel.

If you tell me what you're modeling (e.g. real estate, startups, investment banking, stocks, private equity, corporate finance, budgeting, etc.) and whether you're on Windows or Mac, I can narrow this down to the best 2–3 options for you, including approximate cost.