Financial Modeling & Valuation

Financial Modeling & Valuation

DCF, LBO, and three-statement integrated forecasting for cross-border capital mandates - built from primary source assumptions, not adapted from templates.

Financial Modeling & Valuation

A financial model is only as reliable as the assumptions behind it.

The mechanics can be flawless: three statements linked, a DCF structured correctly, LBO returns calculated to the penny - and the output can still be wrong. The model fails when the revenue driver is carried over from a management case that nobody stress-tested, the WACC is borrowed from a sector database rather than derived from the actual capital structure, or the terminal value is selected to justify a conclusion already reached. The spreadsheet may look credible, but if its assumptions cannot withstand scrutiny, neither can its conclusions.

The Perusal Standard

At Perusal Global, assumptions come before calculations. Every engagement begins by validating the commercial, financial, and industry drivers against primary sources, market evidence, and management disclosures before the model is built. We develop integrated, decision-ready financial models that are transparent, stress-tested, and structured to show how changes in key assumptions affect value, cash flows, returns, and risk. AI accelerates data discovery and source validation, while experienced analysts apply the judgment needed to ensure every assumption is defensible. This disciplined approach enables us to deliver institutional-grade financial models for corporates, private equity and venture capital firms, investment banks, brokerage firms, and other organizations that require rigorous analysis for fundraising, transactions, valuations, investment decisions, and strategic planning.

The true value of a financial model is not the final number. It is the ability to test assumptions and see exactly how the entire business responds.

Who This is for

Audience

Founders and CFOs whose existing model will not survive a sophisticated investor’s first pass because the scenario analysis is a single case with different labels, the valuation basis is undocumented, or the management accounts and investor-facing numbers do not bridge cleanly.

Audience

PE and VC deal teams that need an independent DCF, LBO, or comparable transaction analysis to challenge a management case, evaluate acquisition pricing, or stress-test deal feasibility across entry multiples, debt structures, and exit scenarios.

Audience

Brokerage firms and research desks that need institutional-grade financial models to support initiating coverage reports, earnings updates, and ongoing company coverage, with valuation frameworks that withstand investor scrutiny.

Audience

Corporates and M&A deal teams preparing for a transaction, regulatory filing, or board-level decision where the model must hold up when reviewed by a counterparty's analyst.

How We Work

Three-statement integration is the technical standard applied to every model we build. The income statement, balance sheet, and cash flow statement function as one linked framework, so a change to any input flows through all three simultaneously. This is what a financial audit or institutional review requires, yet a significant proportion of models presented to investors do not actually deliver it.

Scenario and sensitivity analysis are built into the model architecture from the start. The final model includes a documented assumptions register covering every driver, rate, and source, so the client can explain and defend any number within it.

For cross-border mandates, Country Risk Premium adjustments and Inflation Differential normalisation are applied to make valuations directly comparable across markets, without requiring manual adjustments by the investor reviewing the model. AI-powered checks are run across both the source data and the model structure to identify circular references, plug errors, and inconsistencies that might otherwise surface late in the process.

GAAP-to-IFRS reconciliations are handled where required. For Indian or GCC companies benchmarked against US or European peers, the unlevered beta framework is adjusted to reflect the local cost of debt and liquidity premiums.

How we work

Our Financial Modeling Capabilities

How We Engage

Project-Based

Each engagement has a defined mandate, clear scope, and fixed deliverable, with most completed within 3 to 10 weeks.

Dedicated Analyst

Ongoing modelling support is embedded within your team, with an analyst who understands both the models and the sector - eliminating the need for repeated briefing.

On-Demand Block

A committed block of analyst hours is allocated to model audits, sensitivity analysis, and ad hoc scenario modelling.

Sectors We Cover

Our work is grounded in the sectors we know deeply. Domain knowledge changes the questions worth asking and the answers worth trusting, so every engagement is led by people who understand the industry, not just the discipline. Whichever sector you operate in, the work is shaped by how that market actually behaves, where the value sits, where the risks hide, and what a credible case looks like to the people you are trying to convince.

We also cover:

Green Mobility
Life Sciences & Biotechnology
BFSI, FinTech & Crypto
Sustainable Energy & Chemicals
Clean Technology
Manufacturing & Industrials
Retail & Consumer
Technology & Automation
Smart Logistics & Fulfilment
Travel & Hospitality

Frequently Asked Questions

A DCF estimates intrinsic value by discounting future free cash flows at a rate that reflects the risk of generating them. It answers what the business is fundamentally worth. An LBO model tests whether a leveraged acquisition can generate the required IRR and exit multiple at a given entry price, debt structure, and holding period. It answers whether a specific deal works at a specific price. In private equity, both are often used on the same transaction: the DCF establishes the underlying value of the business, while the LBO tests whether the proposed deal can deliver the required return at that valuation.

WACC is derived from the actual capital structure of the business being valued. For cross-border mandates, we adjust the equity risk premium for country risk, normalize for inflation differences across markets, and use unlevered beta frameworks when benchmarking Indian or GCC companies against listed peers in the US or Europe. The result is a cost of capital that reflects the business, its capital structure, and the market in which it operates - and can be tested against the underlying assumptions.

A model audit starts with the structural checks, does the balance sheet actually balance from movements rather than by plug, does the cash flow statement derive from the balance sheet, are the three statements genuinely linked. From there, the audit examines the assumptions, whether revenue drivers are grounded in market data or carried forward from a management case, whether WACC reflects the actual capital structure, and whether scenario analysis runs live through the model or is a static sensitivity table. The audit produces a specific list of what needs to be rebuilt and what can stay.

A VDR-ready model is prepared for external scrutiny before the data room opens. Bridge charts between management accounts and audited financials are clearly documented, while revenue recognition policies and unit economics assumptions are made explicit rather than buried within formula logic. The model is structured to anticipate the questions a buy-side analyst is likely to ask. The objective is simple: the model should answer the questions before they are raised.

Sector complexity shapes the model architecture itself - from revenue recognition and cost drivers to working capital and capital structure. Biotech models require epidemiology-based revenue forecasts and probability-weighted valuation across clinical stages. Cleantech models require project finance structures incorporating capacity, offtake arrangements, and debt service coverage. SaaS models require cohort-based revenue forecasting with churn, expansion, and LTV-to-CAC analysis. Manufacturing models require working capital assumptions linked to inventory turns and supply chain dynamics. In each case, the model is designed around the sector’s actual value drivers rather than adapted from a generic template.

External modelling support becomes valuable when the model will be reviewed by someone who did not build it. An internal forecast may work as a planning tool, but a model presented to an investment committee, lender, acquirer, or data room must withstand detailed scrutiny.
The other common trigger is a specialist discipline the internal team does not perform regularly - such as an LBO, cross-border valuation, or purchase price allocation. On a live transaction, the cost of learning through execution is often greater than the cost of bringing in experienced support.

Usually, three areas require attention. We rebuild the assumption layer using primary sources rather than carrying forward an untested management case. We derive the discount rate from the company’s actual capital structure instead of borrowing one from a comparable business. And we build scenarios into the model architecture as live components rather than presenting them as three columns with different growth rates. In many cases, the underlying model is sound. The work may involve a focused review and the rebuild of only two or three key drivers. We determine that after assessing the existing model.

It changes what happens in the room. A defensible model allows the team to answer difficult questions when they are asked, rather than losing momentum by promising to follow up later. It also protects the valuation. When an investor or buyer tests an assumption and the underlying logic holds, the valuation is more likely to hold with it.

Start with the decision, not the deliverable. A fundraising model must withstand investor scenarios. An acquisition model must price the deal and support the proposed structure. A board reporting model must bridge cleanly to the management accounts. Tell us the decision you are facing, and we will build the model to that standard rather than adapt a generic template.

Pricing depends on the scope, engagement type, depth of work, business complexity, seniority of the team involved, and the number of entities or geographies covered. A single-entity DCF and a multi-market LBO with integrated scenario analysis require very different levels of work. Once the deliverable and timeline are clear, we define the scope and provide a complete quote before the engagement begins.

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Ready to Work?

Whether you are preparing for a raise, evaluating an acquisition, building out a coverage universe, or heading into a listing: the model is what an investor, acquirer, or counterparty analyst will open first.