Financial modelling tools play a critical role in how finance leaders plan, forecast, and make decisions. They help organisations translate financial data into forward-looking insight, supporting everything from budgeting and scenario planning to investment decisions and risk management.
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In 2026, CFO expectations of financial modelling have evolved. Models are no longer static spreadsheets built once a year. They are expected to be dynamic, transparent, and closely connected to reliable, up-to-date financial data. As a result, the tools finance teams use for modelling have become a key part of the modern finance technology stack. This guide explains what financial modelling tools are, how CFOs use them, the different types available, and the capabilities finance leaders should prioritise when evaluating
Financial modelling tools are software applications or systems used to create structured representations of an organisation’s financial performance. These models are used to simulate outcomes, test assumptions, and evaluate the financial impact of different decisions or scenarios.
At their core, financial modelling tools help finance teams answer questions such as:
CFOs and finance leaders rely on financial models to support a wide range of activities, including:
In each case, the quality of the model depends heavily on the quality and consistency of the underlying data.
There is no single approach to financial modelling. Most organisations use one or more of the following types of tools.
Spreadsheets remain widely used due to their flexibility and familiarity. However, they can become difficult to maintain as models grow in complexity, particularly when multiple contributors and versions are involved.
Integrated planning tools combine modelling, budgeting, and forecasting within a structured environment. They offer greater control and consistency than standalone spreadsheets.
Cloud-based tools enable collaboration, version control, and real-time access to data. They are increasingly used by finance teams seeking scalability and governance.
When evaluating financial modelling tools, CFOs typically prioritise:
These capabilities help ensure models support confident decision-making rather than creating additional risk.
Financial models are only as good as the data that feeds them. In multi-entity organisations, this often means relying on consolidated, group-level financial information.
Without accurate consolidated data, financial models may:
For this reason, many finance teams focus on strengthening their consolidation and reporting foundations before expanding modelling capabilities.
Finance teams should be cautious of:
Avoiding these pitfalls improves trust in models and the decisions they support.
AccountsIQ provides finance teams with accurate, consolidated financial data that supports forecasting, modelling, and decision-making across multi-entity organisations.
Learn how AccountsIQ supports better financial decisions through reliable group reporting.