Top 10 Best Discounted Cash Flow Software of 2026

Jirav supports discounted cash flow modeling with scenario management built around changing key assumptions and rerunning outputs to compare valuation results. The workflow emphasizes connecting operating drivers to cash flow outputs and presenting valuation metrics in a way that is reusable across recurring analyses. Model governance is handled through workspace organization, repeatable templates, and controlled access patterns for team reviews.

A tradeoff appears in how much structure Jirav expects in the input mapping before assumptions can drive outputs cleanly. Jirav fits best when valuation work depends on recurring driver sets and frequent assumption iterations, like investor updates or internal business reviews, where repeatability matters more than bespoke modeling.

GuruFocus provides DCF-style valuation views that connect valuation assumptions to underlying financial statement inputs from its company profiles. The workflow supports updating forecasts and rerunning outputs as financial metrics and assumptions change, which reduces model rebuild time. DCF functionality is most useful when valuation work is iterative and grounded in the same company-level dataset used for screening and ongoing research.

The tradeoff is reduced modeling freedom compared with spreadsheet-first DCF builds when a specific cash flow waterfall, working capital schedule, or depreciation and amortization build needs deep customization. GuruFocus works best for valuation reviews that prioritize consistent assumptions, repeatable outputs, and fast rechecks across many companies.

Stockopedia’s DCF workflow centers on driver-based cash flow modeling and valuation outputs that sit next to the research and screening signals used to pick tickers. Scenario manager style controls make it possible to run assumption variations and observe changes in valuation metrics across inputs. A DCF model template approach reduces the time spent wiring inputs compared with creating a full spreadsheet from scratch.

A key tradeoff is that Stockopedia’s automation surface is limited for bulk provisioning and programmatic updates of assumptions. The model works best when a small number of equities need analyst-style scenario runs rather than high-throughput revaluation cycles across large universes.

Cube from cubesoftware.com centers discounted cash flow modeling on a structured, spreadsheet-like workflow that maps drivers into projected cash flow lines and valuation outputs. Forecasting can be handled through configurable schedules for income statement and balance sheet components, then rolled into cash flow for net present value style outputs.

The model workflow is designed for repeat runs with scenario toggles, so changes to assumptions propagate through valuation measures like terminal value and discounting conventions. Data import and automation depend on Cube’s integrations and API surface for keeping models aligned with external financial data.

Fathom turns a DCF workflow into a guided modeling experience that links assumptions to outputs like net present value and internal rate of return. It centers on importing or entering operating drivers, then running valuation cases through scenario toggles and sensitivity views.

The workflow emphasizes repeatable templates for forecasts, schedules, and valuation logic instead of relying on manual spreadsheet rebuilding. Collaboration features help keep assumption changes traceable as teams iterate across cases.

Float is a discounted-cash-flow spreadsheet workspace that targets finance teams who need to keep forecasts and valuation math consistent across revisions. It combines DCF model templates with a scenario and worksheet workflow that supports fast what-if iterations.

Float also supports spreadsheet-style inputs, calculated schedules, and structured outputs so users can trace how driver changes flow into valuation metrics like net present value and terminal value. Automation is centered on templated calculations and repeatable roll-forward updates rather than a full standalone valuation engine.

Simply Wall St differentiates by pairing market commentary with prebuilt DCF-ready outputs driven by its equity and fundamentals coverage. The valuation workflow centers on published financials, quick fair-value style calculations, and assumption-based valuation views rather than a configurable spreadsheet model engine.

Forecasting and cash flow valuation are presented through guided inputs and scenario-style sensitivity displays tied to company data. Automation and API depth for DCF model provisioning are not positioned as a core feature in the way dedicated DCF toolchains are.

Stock Rover focuses on discounted cash flow valuation workflows built around equity fundamentals data and DCF inputs tied to company-level assumptions. It supports forecast-driven modeling with scenario toggles for key drivers like revenue growth and margins.

The tool also includes output that pairs valuation results with investment-style metrics used for screening and comparison across tickers. Its main distinction is how quickly users can move from company data to DCF valuation outputs inside a single workflow.

MoneySoft is a discounted cash flow calculator that focuses on building multi-year cash flow forecasts and running valuation outputs in one workflow. It supports DCF-style valuation structures such as terminal value using a growth or exit approach, and it includes scenario toggles for assumptions across runs.

The tool emphasizes spreadsheet-style input entry and report outputs that are easier to share than a pure spreadsheet model. Core outputs typically include net present value and internal rate of return variants for the same underlying cash flow set.

ValuSource targets discounted cash flow work where model logic needs to stay repeatable across updates to assumptions and forecast inputs. The tool focuses on DCF outputs like net present value, terminal value, and return metrics, with built-in support for common valuation conventions.

Users can run sensitivity analysis to see how changes in key drivers affect the results and compare outcomes across scenarios. The workflow is oriented around filling a DCF template and iterating through assumption sets rather than building a fully custom financial model from scratch.