Prompt

What's the best financial modeling software for building merger models in an investment banking team?

Banking / Investment Banking2 observationsLast seen Jul 25, 2026

Latest observation

Jul 25, 2026OpenAI APIWeb search: off

For merger models in an investment banking team, the “best” software is usually:

1) Microsoft Excel

Best overall and industry standard
Most M&A and merger models are still built in Excel because it’s:

  • Highly flexible
  • Easy to audit
  • Widely used by bankers and clients
  • Ideal for complex, custom transaction logic

Why it’s the default

  • Builds fully integrated sources & uses, purchase accounting, EPS accretion/dilution, synergy analysis, debt schedule, and valuation work
  • Everyone on the team can open and edit it
  • Easy to present in pitchbooks and board materials

Common add-ons

  • Bloomberg Excel Add-in for market data
  • Capital IQ / FactSet / Refinitiv add-ins for comps and financial data
  • Macabacus or similar tools for formatting, shortcuts, and model auditing

2) Macabacus

Best productivity layer for Excel-based banking modeling
Macabacus isn’t a replacement for Excel; it’s a toolkit that makes modeling much faster and cleaner.

Useful for:

  • Faster formula navigation
  • Auditing links and precedents
  • Formatting consistency
  • Model templates and shortcuts

If your team does a lot of merger models, Macabacus is often the most valuable “software” after Excel itself.


3) Capital IQ / FactSet / Bloomberg

Best for data, not model building These platforms help with:

  • Company financials
  • Trading comps
  • Transaction comps
  • Historical market data
  • Consensus estimates

They’re essential inputs for merger models, but they’re not usually where the model itself is built.


4) Workday Adaptive Planning / Anaplan / Oracle Hyperion

Better for corporate FP&A, not classic banking M&A models These are more useful for:

  • Enterprise planning
  • Budgeting and forecasting
  • Scenario planning at companies

They’re generally not the primary tool for an investment banking merger model.


Practical answer

If you’re in an investment banking team, the best setup is usually:

Excel + Macabacus + Capital IQ/FactSet/Bloomberg

That combination is the standard for building merger models efficiently and professionally.

If you want, I can also give you:

  1. the best merger model template structure, or
  2. a comparison of Excel vs. Airtable/Anaplan/other tools for banking modeling.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.