Top 10 Best Cashflow Modelling Software of 2026

Dryrun’s modeling workflow supports driver-driven assumptions that map to downstream cash movement, which fits cash planning teams that need traceability from drivers to liquidity outcomes. Forecast outputs can be reused across planning scenarios, letting teams compare timing differences and liquidity buffer impacts without rebuilding the logic each cycle. Integration depth is primarily assessed through how it ingests operational and ledger-style data and how reliably outputs feed downstream reporting or finance processes.

A key tradeoff is that Dryrun’s model structure encourages a managed configuration approach, which can slow highly customized Excel-style logic that does not fit driver-based patterns. A common usage situation is rolling forecast cycles where monthly inputs update debt schedules and working capital assumptions, then scenario runs produce an updated cash position for planning and review.

Jirav’s core capability is cash forecasting that starts from accounting-period data and extends into planned cash movements with configurable assumptions. The model supports multi-period outputs such as balance sheet projection and liquidity-focused summaries that finance teams can use for planning and review cycles. Forecast changes flow through the model automatically, which reduces manual rework compared with spreadsheet-only approaches.

A key tradeoff is that Jirav’s modelling depth is strongest for standard planning structures, while highly customized treasury workflows still require careful assumption mapping. Jirav fits best when a finance team runs recurring forecasts and needs consistent scenario comparison for stakeholders, especially when accountants and FP&A analysts share the same input source.

PlanGuru’s core modelling approach combines a budgeting workspace with cashflow outputs derived from linked financial statements, so balance sheet and working capital movements can flow into cash results. Scenario analysis is handled through assumption sets and forecast comparisons, which makes it practical for budgeting and reforecasting without rebuilding models each cycle. A built-in investment analysis view supports discounted cash flow and net present value style evaluation for capital decisions within the same forecasting context.

A key tradeoff is that PlanGuru’s integration depth is mostly oriented around file or structured import workflows rather than deep ERP-to-model automation, which can slow down high-frequency refreshes. It is a strong fit for teams that run periodic forecasts and need consistent cashflow logic across drivers, then review variances by account and scenario during planning cycles.

Cash Flow Frog focuses on building cash flow models from transactions and schedules, then producing scenario outputs for planning and review cycles. Core capabilities include automated cash receipts and payments waterfalls, debt schedule handling, and balance sheet linked cash movements for downstream liquidity analysis.

The product workflow is oriented around driver inputs and repeatable model runs, which reduces manual rework when forecasts roll forward. Spreadsheet output and import workflows support iterative FP&A use where teams still need to inspect assumptions.

Float builds driver-based cashflow forecasts by turning expense and revenue schedules into rolling monthly cash movements. The model supports scenario comparisons by letting teams override key inputs and re-run outputs without rebuilding spreadsheets.

Float is positioned for teams that want bank-ready cash visibility using structured inputs rather than cell-by-cell Excel workflows. Integration options and automation focus on getting data in and keeping forecasts current as source figures change.

Fathom targets FP&A teams that need cashflow models built around spreadsheet-like driver logic, then reused across scenarios and entities. Models are composed of worksheets with formulas and configurable inputs, so teams can switch assumptions for planning and what-if analysis without rewriting model structure.

Export and collaboration features support sharing outputs with finance leadership, while versioned assumptions help keep scenario comparisons consistent. Automation focuses on orchestrating model runs and exporting results rather than replacing ledger data pipelines end to end.

Calxa focuses cashflow modeling workflows that turn recurring inputs into forecast-ready outputs with fewer manual spreadsheet steps. The core capability is scenario and what-if modeling tied to a structured cash flow model that supports driver changes across periods.

Calxa also supports multi-period reporting for liquidity planning and operational cash visibility, which reduces the gap between finance assumptions and cash outcomes. For teams standardizing monthly cycles, Calxa’s configuration-driven approach reduces rework when forecasts and budgets need to be rerun.

Pulse targets cashflow modelling and FP&A workflows with a configuration-first approach for building forecast structures and repeating scenario runs. It supports driver-based cash planning across income, operating cash movements, and balance sheet lines so cash and liquidity outputs update from the same underlying inputs.

Pulse is designed for multi-person planning with spreadsheet-style usability and model logic that stays centrally managed instead of fragmented across files. Scenario analysis and what-if comparisons are handled as first-class runs rather than manual spreadsheet rewrites.

ProjectionHub builds cashflow models from spreadsheet-like templates and converts them into structured forecasts with scenario toggles. It focuses on driver inputs for revenue, expenses, working capital, and debt schedules to generate cash movement over time.

Scenario analysis supports parallel planning views for what-if comparisons, including liquidity effects that matter for treasury planning. Export paths are geared toward FP&A review workflows where outputs need to be shared back into spreadsheets or reports.

LiveFlow targets FP and treasury teams that need cash forecasting tied to measurable drivers and repeatable scenario runs. The solution supports multi-period cash planning with line items that can roll through scenarios and templates without rebuilding each model.

LiveFlow also emphasizes automation for model refresh workflows that pull in external inputs and propagate them through forecasts. Strong governance features center on controlled access and reviewable changes so forecast outputs remain traceable across planning cycles.