Overview
Finance and business students are often asked to value a company, assess its financial health or evaluate a project. The mechanics — forecasting free cash flows, estimating a discount rate, choosing comparable companies — are learnable, but models quickly become opaque: hard-coded numbers, circular references, and terminal values that silently dominate the result.
We work with you on model structure and reasoning. That includes organizing inputs, calculations and outputs separately; tying forecasts to historical ratios and stated drivers; estimating WACC components from sourced data; cross-checking DCF results with trading or transaction multiples; and running sensitivity and scenario analysis so readers can see which assumptions matter.
For coursework and graded projects, support takes the form of tutoring, model review and worked examples on different companies, so the submitted model and analysis remain yours. For research projects and non-graded work, we can build models to your specification with full documentation.
Who it’s for and the problems it solves
This is for you if you are…
- Undergraduate and master's finance, accounting and MBA students learning valuation
- Researchers who need valuation or financial ratios as inputs to an empirical study
- Doctoral researchers building firm-level financial variables from statements
- Founders and nonprofit teams preparing a model for a research or grant context, not for investment solicitation
Common problems we help with
- Your terminal value makes up most of the valuation and you are not sure that is reasonable
- You are unsure how to estimate beta, the equity risk premium or the cost of debt
- Your ratios contradict each other and you cannot explain why
- The model has circular references or does not balance
- Your supervisor asked for sensitivity analysis and scenarios
What’s included — and what isn’t
Included
- Review of the valuation question and appropriate methods for the company or project
- Three-statement model structure: linking income statement, balance sheet and cash flow
- Free cash flow to firm and to equity, with forecast drivers tied to history and stated assumptions
- WACC estimation: CAPM cost of equity, beta estimation or unlevering/relevering, cost of debt, capital structure weights
- Terminal value by perpetuity growth and exit multiple, with consistency checks
- Relative valuation with trading and transaction multiples and a documented peer selection
- Ratio analysis: profitability, liquidity, solvency, efficiency and DuPont decomposition, with industry comparison
- Sensitivity tables, scenario analysis and, where useful, Monte Carlo simulation
- Project appraisal: NPV, IRR, payback and their limitations
- Model review and error checking for models you have built
- Excel models with clear formatting conventions, or Python/R versions for research pipelines
Not included
- Investment, trading or personal financial advice, or recommendations to buy or sell securities
- Building models to be submitted as your own graded coursework
- Valuations for legal disputes, tax filings, fundraising documents or regulatory purposes
- Inventing financial data or assumptions without sources
What you receive
- Assumptions register
- Every key assumption with its value, source and rationale, in one place for easy review.
- Model or model review
- An auditable Excel or code-based model for research use, or a written review of your model with specific corrections for coursework.
- Valuation summary
- Football-field chart comparing DCF and multiples ranges, with the implied values explained.
- Sensitivity and scenario outputs
- Tables showing how value changes with WACC, growth, margins and other drivers.
- Explanation session
- A walkthrough of the logic so you can present and defend the analysis.
How it works
Clarify purpose and rules
We confirm whether the work is graded, research or professional learning and agree the support format accordingly.
Gather and check data
Financial statements, market data and peer information are collected from sources you can cite.
Structure the model
Inputs, calculations and outputs are separated, with checks for balance and circularity.
Value and stress-test
DCF and relative valuation, then sensitivity and scenario analysis.
Review and explain
You receive the deliverables and a session to go through the reasoning.
Valuation and analysis methods
- Discounted cash flow (DCF)
- Present value of forecast free cash flows plus terminal value, discounted at WACC (FCFF) or cost of equity (FCFE), with consistency between the two.
- Cost of capital
- CAPM with a justified risk-free rate, beta and equity risk premium; country risk adjustments for emerging markets are discussed transparently.
- Relative valuation
- EV/EBITDA, EV/Sales, P/E and P/B multiples from a defensible peer set, adjusted for differences in growth and risk.
- Ratio and DuPont analysis
- Return on equity decomposed into margin, asset turnover and leverage to show what drives performance.
- Sensitivity and simulation
- Two-way data tables and Monte Carlo simulation to show the range of plausible values rather than one point estimate.
- Research-grade variables
- Computing Tobin's Q, Altman Z-scores, accruals or leverage measures consistently across firm samples for econometric work.
Keeping models honest
Most valuation errors come from assumptions that are inconsistent with each other: long-term growth above the economy's growth rate, reinvestment that cannot support forecast growth, or a terminal multiple that implies a different growth rate from the perpetuity method. We run consistency checks — implied return on new investment, implied multiples, and the share of value from the terminal period — and flag anything that needs justification.
We also keep models auditable: inputs in one place and color-coded, no hard-coded numbers inside formulas, and checks that the balance sheet balances and cash reconciles.
Ratios as evidence, not verdicts
Financial ratios describe relationships in accounting data. They depend on accounting policies, industry norms and one-off items, so we help you compare like with like, adjust for unusual items where appropriate and connect patterns to strategy or economic conditions. For research samples, we define ratios consistently, handle negative denominators and outliers by stated rules, and document every step so the variables can be reproduced.
If your project combines ratios with regression — for example, explaining profitability with capital structure — our panel data analysis support covers the econometric side.
Boundaries of this service
This support is for learning and research. A valuation in a thesis or case study is an exercise in reasoning under stated assumptions, not a recommendation to buy or sell. We do not provide investment advice, fairness opinions or valuations for legal, tax or fundraising purposes.
For graded coursework we work as tutors and reviewers: explaining methods, working through parallel examples, and checking your model and reasoning. You build and submit your own work.
What the work can look like
Illustrative example — fictional data
Sample excerpt: sensitivity review of a student DCF
An MBA student asked us to review their DCF of a mid-sized listed retailer for a non-graded research seminar. All figures are invented.
Issue found
Terminal value was 84% of enterprise value, and perpetual growth (4.5%) exceeded the assumed long-run nominal GDP growth (3.5%). Reinvestment in the terminal year implied a return on new capital of 42%, inconsistent with a historical ROIC of 11%.
Revised range
Using 3.0% growth and reinvestment consistent with 12% ROIC, value per share fell from 38.2 to 29.6. A WACC range of 8–10% gave 24.1 to 36.8, overlapping the EV/EBITDA peer range of 26.5 to 33.0.
Presentation
The student presented a value range with the drivers of uncertainty, rather than a single target price.
Illustrative example with invented numbers and no real company. Not investment advice.
What you’ll need to provide
- The assignment brief or research question, including any rules on outside help
- The company, project or sample of firms and the valuation date
- Financial statements or access to data sources you are allowed to use
- Any required methods or templates from your course or supervisor
- Your current model, if you want it reviewed
You don’t need everything ready to ask for a quote — tell us what you have and we’ll say what’s missing.
What affects price and turnaround
Price depends on
- Scope: a single company valuation, a project appraisal, or ratio variables for a large sample
- Model complexity: three-statement integration, multiple scenarios, simulation
- Data availability and time spent sourcing and checking figures
- Format: tutoring and review versus a documented research model
- Number of review rounds
Turnaround depends on
- Availability of clean financial statements and market data
- Complexity of the company (segments, acquisitions, unusual items)
- How quickly assumptions can be agreed with you
Every project is quoted individually. How we price our work.
Questions people ask before starting
Can you build the valuation model for my graded assignment?
No. For graded work we tutor, explain methods, work through examples on other companies and review your model with specific feedback. You build and submit the model yourself.
Is this investment advice?
No. All modeling here is for academic, research or learning purposes. We do not recommend buying, selling or holding any security.
Where do you get market data such as betas and risk premiums?
From sources you can cite and access, such as your university's databases, company filings and publicly available datasets. We record sources in the assumptions register.
Do you work in Excel only?
Excel is common for coursework and case studies. For research samples with many firms, Python or R is more reproducible, and we can build pipelines that compute ratios and valuation inputs consistently.
Can you help with financial ratios for my regression analysis?
Yes. We define and compute variables consistently across your sample, document outlier and missing-data rules, and prepare a data file ready for econometric analysis.