Operating model construction
Historical financial alignment and forward operating schedules connected to the company’s segment drivers, margins, capital needs, cash generation, and per-share outcomes.
Financial modeling and valuation services
Source-linked operating models, DCF analysis, comparable-company valuation, scenarios, sensitivities, and model review for professional investment teams.
The mandate
A useful model does more than produce a target price. It shows how revenue, margins, reinvestment, capital structure, and market expectations interact across a range of outcomes.
Riverson Arc builds or reviews models around the client’s investment question, with clear input classifications, formula checks, sensitivity analysis, and a documented boundary between facts and analyst judgment.
Discuss a research mandateHow we can help
The scope begins with the decision, the evidence required, and the analytical output your team can use.
Historical financial alignment and forward operating schedules connected to the company’s segment drivers, margins, capital needs, cash generation, and per-share outcomes.
DCF, relative valuation, precedent transactions where relevant, and scenario analysis that exposes the variables with the greatest effect on value.
Independent review of formulas, assumptions, comparability, sensitivities, and the earnings or valuation bridge supporting an existing conclusion.
Typical outputs
A transparent historical and forecast model structured around the company’s economic drivers.
DCF, market multiples, transaction references, or another method appropriate to the question.
Downside, base, and upside cases with the assumptions and output differences made explicit.
Source notes, input classifications, formula checks, and comments that make the model easier to review and update.
Working process
Define whether the work must explain earnings, compare securities, test a transaction, estimate value, or challenge an existing model.
Align reported periods, link operating drivers to financial statements, and reconcile key outputs to the available public evidence.
Test sensitivities, expose concentration in terminal or forecast assumptions, and document what would materially change the output.
Frequently asked questions
The scope can include operating forecasts, cash-flow projections, discount-rate and terminal-value assumptions, and sensitivity analysis. The model explains which assumptions drive value and distinguishes reported figures from forecasts. The methods and deliverables are agreed around the investment question.
Share the company or transaction, research cutoff, existing model if available, the questions to be tested, and the output required. Source availability, model format, timing and the scope of checks are agreed before work begins.
Typical work includes public-company operating models, DCF valuation, comparable-company analysis, scenario and sensitivity analysis, earnings bridges, and transaction accretion or dilution screens.
Yes. Model review can focus on formula integrity, source traceability, forecast logic, valuation assumptions, scenario design, or the bridge between operating assumptions and per-share outputs.
No. Unavailable inputs are not fabricated. Company-disclosed figures, third-party estimates, client inputs, and Riverson Arc assumptions are identified separately, with limitations stated where they affect interpretation.
No. The work is an analytical decision-support framework. It is not a fairness opinion, personalized investment advice, or a guarantee of market value.
Proof of process
The Santander and Webster review shows how valuation methods, accretion cases, purchase-accounting assumptions, tangible-book dilution, and an unresolved guidance bridge can be presented without overstating precision.
Start with the question
Include the company, transaction, or decision context and the output required. Scope and timing are agreed before work begins.