Financial Modelling

Expert financial modeling services for fundraising, investor presentations, and scenario analysis, ensuring robust and reliable financial projections.

What We Offer

We build sophisticated and flexible financial models to support critical business decisions and investor engagements:

  • Investor-grade fundraising models for equity and debt.
  • Detailed financial models for valuation, M&A, and strategic planning.
  • Scenario and sensitivity analysis to test business assumptions.
  • Clean and standardize management accounts to feed into robust models.

Key Deliverables

  • Custom-built 3-statement financial models
  • Integrated investor packs and presentation-ready outputs
  • Comprehensive sensitivity tables and scenario analysis reports

Timeline: Project timelines vary based on complexity and scope. Contact us for a tailored assessment.

Discuss Your Modelling Needs

What we do on the engagement

Operating model

The three-statement model that drives the deal: revenue build, cost base, working capital and capex, all linked so a change in assumption flows through to cash and returns.

  • Revenue build from unit economics rather than a top-down growth rate
  • Cost base split into fixed and variable, with headcount tied to FTE
  • Working capital pegged to the diligence output, not a generic assumption
  • Capex separated into maintenance and growth
  • Debt and returns calculated on the actual financing structure

Scenario and sensitivity

What happens to the investment case when the assumptions move. Single-point forecasts are not useful in diligence; ranges are.

  • Base, upside and downside cases with the drivers for each
  • Sensitivity tables on the three or four variables that actually move returns
  • Break-even analysis on price, volume and margin
  • Cross-border FX and inflation effects where the target reports in a different currency

Carve-out modelling

When the target is not a standalone business, the model has to reflect what it will look like post-separation rather than what the consolidated accounts show.

  • Revenue and cost attributable to the carved-out entity
  • Standalone cost base including services previously provided by the group
  • Working capital normalised for the perimeter, not the group
  • Transition service agreements and their cost
  • One-off separation costs and their phasing

Vendor due diligence model

A sell-side model that answers buyer questions before they are asked, and holds up when they test it.

  • Revenue and cost build that reconciles to the databook
  • Working capital peg with the seasonality a buyer will challenge
  • Debt-like items and their treatment
  • Pro-forma adjustments evidenced rather than asserted

Frequently asked questions

What is the difference between a financial model and a databook?

A databook is historical: what happened, reconciled to source. A model is forward-looking: what the investment case looks like under different assumptions. Most engagements need both, and they should tie together — the model's opening position is the databook's closing position.

Can you build to our template?

Yes. Send your house model and formatting conventions during onboarding and we build to them.

Do you cover operational modelling?

We cover the financial outputs of operational assumptions — revenue builds from unit economics, cost models from headcount and unit costs. We do not build the underlying operational systems.

Why this matters

A financial model is only as good as the diligence it is built on. We build models that are grounded in reconciled historicals rather than assumptions, so the opening position is defensible and the forecast is built on evidence.

Grounded in diligence

The model's opening position is the databook's closing position. Revenue, cost, working capital and net debt all tie to the diligence output, so the forecast starts from a number a buyer has already accepted rather than one we have chosen.

Built for the deal, not for the file

A model that lives in a data room has to be usable by someone who did not build it. We structure for clarity: assumptions on their own sheet, three statements linked, returns calculated on the actual financing structure, and sensitivity tables on the variables that actually move the outcome.

Scenario-ready

Every model we build carries base, upside and downside cases from the start, because the investment case is not a single number. We identify the three or four drivers that matter and show what happens when they move.