Top 10 Best Cash Liquidity Forecasting Software of 2026

Fathom is built for short-term cash planning where daily or weekly updates change outcomes, so it focuses on driver-based forecast logic rather than static reporting. Bank connectivity and electronic statement ingestion feed starting balances, while configurable cash movement inputs drive the forecast to cash position outputs. Scenario analysis and forecast variance views help teams trace which drivers changed the rolling cash forecast.

A key tradeoff is that forecast quality depends on maintaining driver mappings and model configuration as cash processes change. Fathom fits teams that already have bank connectivity working and can standardize cash movement categories across accounts to keep forecast inputs consistent.

Float’s core workflow centers on bank connectivity and transaction ingestion, then transforms those transactions into time-bucketed cash projections. The configuration layer lets teams define how transactions should map to categories and forecast periods, which reduces manual re-entry for frequent bank feeds. Automation and data handling are geared toward finance users who need rolling cash forecast views that update as new movements arrive.

A key tradeoff is that deeper ERP-linked cash logic still depends on what can be modeled through Float’s import and rule configuration, not on native general-ledger semantics. Float fits best when a finance team primarily forecasts cash timing from bank activity and then adds scenario changes for controllable drivers like payment schedules or collections assumptions.

Dryrun targets cash and liquidity forecasting where forecasts must stay aligned with bank reality through frequent refresh cycles. It supports structured inputs for inflows and outflows and produces scenarios for short-term cash forecast planning. Forecast variance analysis ties forecast deltas to specific drivers so teams can adjust assumptions rather than reforecast blindly.

A tradeoff is that teams with highly custom cash models may need configuration work to map their transaction logic into Dryrun inputs. Dryrun fits situations where daily bank updates and operational cash drivers need to roll into the same forecasting workflow, such as monthly close support with near-real-time cash visibility.

Kyriba is a treasury cash visibility and liquidity forecasting system that feeds near-term cash planning from connected banking and corporate finance data. The tool supports rolling cash forecast workflows with centralized assumptions and forecast variance visibility across entities.

Kyriba also provides an automation surface through integration and API capabilities that move bank balances, transactions, and cash positions into the forecasting model. Governance features such as role-based access and audit trails support controlled forecast changes across treasury and finance users.

HighRadius supports cash and liquidity forecasting workflows that connect financial planning inputs with short-horizon cash positioning and variance monitoring. It is used to drive day-to-day visibility by rolling forecasts forward, aligning receivables and payables expectations to forecast timelines, and capturing operational drivers that shift cash outcomes.

The differentiator in many deployments is the depth of transaction and banking integration options that feed forecast models and keep bank balances synchronized with planning assumptions. Governance controls for forecast planning, including user role permissions and auditability of planning changes, reduce operational risk when forecasts flow across treasury and finance teams.

Agicap targets teams that need a rolling cash forecast with daily visibility across bank accounts, instead of a static monthly model. It centralizes cash positioning, links operational drivers like receivables and payables, and supports scenario work to see how planned changes shift the short-term outlook.

Forecasts stay connected to actuals through continuous bank feed ingestion and reconciliation workflows that reduce manual variance handling. The tool’s fit is clearest where finance teams need repeatable forecasting cycles with clear ownership and auditability.

Jirav targets short-term cash planning with a modeled workflow that links budgets, forecast drivers, and bank balances into one rolling view. It supports bank account aggregation and electronic bank statement ingestion to reduce manual tie-outs and keep daily cash positioning current.

The product also covers accounts payable forecasting and accounts receivable forecasting to translate operational activity into a cash forecast, then applies scenario analysis for forecast variance review. Admin and control features focus on configuring planning entities and managing who can revise forecasts and view results.

Pigment is a planning and analytics environment used to model cash and liquidity forecasts with interactive dashboards and calculation logic. It supports forecast inputs, scenario comparison, and workflow-driven planning that finance teams can configure without building a custom app from scratch.

Pigment’s integration approach centers on connecting data sources, loading structured planning inputs, and pushing results back into the rest of the finance data flow. Strongest fit appears when forecasting governance, version control, and repeatable scenario runs matter more than pure bank-statement ingestion.

Tesorio ingests bank and account data to produce a daily rolling cash positioning view and short-term cash forecast outputs for finance teams. Forecast logic is centered on configurable cash flow drivers mapped to bank balances, with scenario comparison for variance planning.

The product emphasizes workflow automation for updates, approvals, and forecast publishing so teams can keep liquidity views current without spreadsheet rework. Integration depth is mainly expressed through data ingestion and connectivity options, with an API surface intended for extending forecast inputs and syncing results.

Runway is a cash liquidity forecasting software built around connecting data sources and translating them into rolling cash forecasts for finance teams. Its core value comes from bank and accounting data ingestion, forecasting workflows, and scenario inputs that feed short-term cash positioning.

Runway also emphasizes automation through reusable models and scheduled refresh so forecasts stay aligned with new transactions. Where teams need governance over who can change assumptions and what data is used, Runway focuses on admin controls and audit visibility.