Top 10 Best Cashflow Planning Software of 2026

Dryrun’s cash planning workflow is built around a structured forecast timeline where teams set assumptions for receipts, payments, and cash concentration behavior. The core output is a bank-position style view that highlights minimum cash thresholds and liquidity headroom across the forecast horizon. Dryrun also supports scenario planning for variance analysis so changes to timing or volumes can be compared without rebuilding the forecast from scratch.

A common tradeoff is that Dryrun is strongest for planning and scenario management, while it is not a full treasury execution layer that replaces bank connectivity, payments, and settlement controls. Dryrun fits teams that already maintain operational schedules like accounts payable and receivable timing, then want faster reruns of cash runway projection after each weekly close.

Futrli is a cash forecasting and treasury modeling tool built for repeatable forecast cycles, where inputs are structured, assumptions are versioned, and outputs remain comparable across runs. It supports cashflow waterfall style scheduling for inflows and outflows, plus multi-entity consolidation so teams can roll up group liquidity views without rebuilding models per entity. Bank activity can be imported to anchor the plan against actual bank movements, then forecasts continue from the imported position.

A key tradeoff is that deeper bank connectivity formats and payment integration still depend on implemented import workflows rather than fully automated real-time feeds for every environment. Futrli works best when a treasury function runs a frequent rolling forecast process and needs governance controls around who can edit assumptions and when outputs are published for planning review.

Float centers on short-horizon cash forecasting workflows where bank balances, timing of inflows and outflows, and scenario edits drive an expected liquidity trajectory. It provides rolling forecast views and variance-oriented reporting that link changes in assumptions to resulting cash position moves. Integration is aimed at getting bank-like data and transaction context into the planning model quickly, then keeping it refreshed on a schedule.

A tradeoff shows up for teams that need deep multi-entity cash concentration sweeping logic and strict treasury governance at scale, because Float’s planning depth focuses more on what drives cash movement than on full treasury operations. Float fits best for FP&A or treasury analysts who run weekly forecast updates, adjust payment and collection timing assumptions, and need a shared workspace for reviewing liquidity headroom.

Cash Flow Frog targets cashflow planning with spreadsheet-style scenario modeling and a built-in path from assumptions to forecasted cash balances. The core workflow centers on direct updates to driver inputs, then structured outputs for weekly or monthly cash visibility and variance analysis.

It supports multi-period forecasting and consolidation-style rollups for organizations that need clearer short-term liquidity planning. Automation and integration depth are functional for cash forecasting use cases, but it is not positioned to replace enterprise treasury systems end to end.

PlanGuru builds cashflow forecast models with direct method cash forecasting and driver-based assumption tables for revenue, receivables, payables, and debt timing. It also produces rolling cash views like a rolling 13-week forecast, plus scenario outputs for liquidity stress testing across forecast periods. The workflow centers on uploading or mapping financial data, configuring forecast assumptions, and exporting bank-style summaries for use in cash management discussions.

LiveFlow targets cashflow planning teams that need structured forecast build workflows and repeatable month-end close inputs. Core capabilities center on rolling cash forecasting with driver-friendly templates, scenario comparisons, and variance reporting against planned versus actual cash movements. LiveFlow also supports multi-entity cash consolidation and integrates operational and financial inputs into a single cash position view for short-horizon decisions.

Kyriba combines cashflow planning with treasury-oriented data ingestion so bank position visibility can feed directly into forecast planning cycles.

The tool’s scenario workflows support liquidity stress testing so teams can compare outcomes against minimum cash buffers and funding plan constraints.

Multi-entity cash consolidation helps standardize group liquidity reporting while keeping entity-level drivers and bank mappings traceable.

Trovata is a cashflow planning tool focused on treasuries that need bank-statement reconciliation, cash positioning reporting, and forecast inputs in one workflow. It connects account data into a cash visibility layer that supports a rolling planning rhythm and variance review against actuals.

Scenarios can be used to stress liquidity assumptions, including timing shifts in receivables and payables, then roll the impact into consolidated views. Admin controls center on managing data sources and user access to forecast models used for short-term liquidity decisions.

Tesorio calculates cash forecasts and runway views from uploaded or integrated cash movements, then updates them through scheduling and scenario work. It focuses on short-horizon liquidity planning with a structured cashflow calendar and bank position reporting inputs.

The software supports what-if changes to assumptions and produces variance views that trace forecast deltas to underlying drivers. Teams typically use it to coordinate near-term cash planning across entities and bank accounts without building custom forecasting logic.

Calxa targets finance teams that need short-horizon cash forecasting and multi-scenario liquidity planning with controllable drivers. The core workflow centers on building rolling forecasts, mapping cash flows to entities and bank accounts, and running variance and liquidity headroom checks.

Calxa also focuses on operational planning inputs like accounts receivable timing and accounts payable scheduling so forecasts align with actual working-capital behavior. Governance features support review, approval, and controlled collaboration across forecast cycles.