Best Financial Planning Software for Mid-Market Businesses

Three characteristics are common to mid-market firms: 

• Complexity that outpaces finance headcount

• Evolving planning processes

• Scalability without the unnecessary enterprise overhead

Here’s why they matter. 

Complexity grows faster than finance headcount

Mid-market firms often expand without building equally large finance teams. The same team may suddenly need to manage several entities, more detailed revenue models, larger workforces, additional data sources and more frequent forecasts.

This means automation, integration and efficient model management become increasingly relevant. 

Planning processes are still evolving

Mature enterprises have usually established their budgeting, forecasting and reporting processes.

A growing mid-market company may be still refining its processes, including how it plans.

As a result, it may need to change:

• Revenue drivers

• Cost allocations

• Department structures

• Workforce assumptions

• Product or customer dimensions

• Forecast frequency

• Reporting structures

This is why financial planning software for mid-market firms need to be flexible enough to adapt as the business changes.

Mid-market companies need scalability without the unnecessary enterprise overhead

A budgeting tool may become restrictive if it cannot accommodate increasing business complexity. A broader planning platform may offer capabilities the business does not currently need. Assess the proposed configuration, implementation effort, administration and total cost rather than assuming these follow from the platform’s market positioning.

The goal in selecting mid-market FP&A software is to find a platform that offers more planning sophistication than a small-business tool. And to do that without imposing unnecessary enterprise complexity and cost.

For growing mid-market companies, the ideal financial planning environment should be able to support today's requirements while remaining flexible enough to accommodate new entities, products, planning processes and operational drivers as the business grows.

Why do mid-market businesses outgrow Excel for financial planning?

Excel remains one of the most useful tools available to finance teams. 

The problem is rarely Excel itself. Issues arise when you try to use spreadsheets as the entire financial planning architecture after business complexity increases.

A mid-market business might begin with:

• One annual budget workbook

• Department worksheets

• A cash-flow spreadsheet

• A headcount model

• A sales forecast

• Monthly management reports

At this stage, spreadsheets may work perfectly well. The problems usually emerge as the firm grows and the number of planning dimensions, contributors and data sources increase as well. 

For example, you can expect there to be: 

• Multiple departmental versions

• Regional forecasts

• Several entities

• Different planning assumptions

• Separate workforce spreadsheets

• Manual data extracts

• Email-based approvals

• Repeated reconciliations

• Multiple scenario copies

• Dozens of linked workbooks

At that point, finance teams often spend more time administering the planning process than actually analysing results. Manual consolidation, version control and reconciliation leave little time for interpreting performance or providing management with useful forward-looking insights.

This is where modern FP&A platforms can help. A well-configured platform can bring financial and operational assumptions into a more controlled planning environment and reduce manual work associated with disconnected spreadsheets. The benefit depends on data quality, model design, integration and how the business uses the system. 

For mid-market finance teams reaching this stage, our guide on Excel Replacement for FP&A: When Finance Teams Outgrow Spreadsheets, is essential reading.

What should mid-market businesses look for in financial planning software?

The best FP&A software should solve the problems the business is likely to encounter over the next several years, rather than simply reproduce existing spreadsheets in another application.

Good budgeting and forecasting software should do more than collect departmental budgets. It should help business leaders understand the drivers behind performance. It should be able to model how changing assumptions affect future results. 

Oracle describes financial planning as encompassing long-range planning, scenario modelling, annual budgeting, forecasting, reporting and analysis rather than budgeting alone. For growing mid-market businesses, that broader capability becomes increasingly important as finance moves from mere budget administration towards providing forward-looking decision support. 

Here are the key areas and capabilities CFOs in mid-market firms need to pay attention to when comparing FP&A software. 

1. Flexible budgeting and forecasting

Does the platform support the way your business actually plans? 

For a growing mid-market business, that may mean supporting several planning approaches rather than forcing finance into one rigid methodology.

Key capabilities may include:

• Annual budgets

• Rolling forecasts

• Driver-based budgets

• Bottom-up departmental plans

• Top-down targets

• Zero-based budgeting

• Project forecasts

• Revenue forecasts

• Expense planning

Your business should not have to redesign its planning process simply because the software supports only one way of budgeting or forecasting. Instead, ask how easily the platform can accommodate different planning methods as the organisation grows and its requirements change.

Several FP&A platforms support this flexibility.

MODLR supports flexible budgeting approaches, including zero-based budgeting, customised phasing drivers and driver-based planning. Its rolling forecasts allow finance teams to continuously update forecasts as actual results and business drivers change.

Anaplan supports planning, budgeting and forecasting across multiple time horizons and dimensions, including driver-based models, rolling forecasts and both top-down and bottom-up planning methodologies.

Workday Adaptive Planning supports budgeting, forecasting and continuous planning, with capabilities for driver-based modelling, rolling forecasts and collaborative planning across finance and other business teams.

Pigment supports annual planning, rolling forecasts, scenario modelling and flexible forecasting approaches. It includes the ability to reconcile top-down targets with bottom-up plans.

Planful combines planning, budgeting and forecasting within a common model, supporting scenarios, departmental participation and updates to assumptions that flow through the wider plan.

Cube supports annual budgeting and rolling forecasts within a spreadsheet-oriented planning environment, including driver-based rolling forecasts and departmental planning.

For mid-market buyers, the important question is not about whether a platform can produce a budget or forecast. It is more important to find out whether their finance teams can change planning methods, forecast horizons, business drivers and levels of participation without rebuilding the planning process each time the business evolves.

2. Scenario planning

Mid-market businesses rarely grow in a straight line. This is why effective financial forecasting software should make it easy to update assumptions, create multiple scenarios and understand their impact on revenue, costs, profit and cash flow. 

For example, finance may need to model:

• Sales increasing by 15%

• A major customer leaving

• Salaries rising by 6%

• Exchange rates moving adversely

• A new branch opening

• Production costs increasing

• Hiring being delayed

• A capital project being postponed

• Interest rates changing

Good scenario-planning software should allow finance to change assumptions and see the consequences across the wider financial model.

MODLR supports concurrent scenarios, driver-based planning and different budgeting methodologies. 

Anaplan similarly emphasises scenario modelling and what-if analysis across its financial planning environment. 

Workday Adaptive Planning supports what-if scenarios, rolling forecasts and driver-based planning. 

And Pigment highlights flexible budgeting, forecasting and scenario planning. 

Planful supports what-if scenario modelling by allowing finance teams to change assumptions at different levels of a planning hierarchy and see those changes flow through the wider model.

Cube supports base, upside and downside scenarios within a common governed model, allowing finance teams to compare how changes in key drivers affect outcomes such as revenue, margins and cash.

Mid-market buyers should not stop at asking whether scenario planning is available. They need to find out how quickly their finance teams can create, compare and update scenarios. Also ask how any changes in assumptions flow through the wider financial model.

3. Driver-based modelling

The strongest financial plans connect numbers to the activities that cause them.

When you adopt driver-based planning, your revenue forecast will not be:

Revenue = $50 million

Instead, a driver-based planning model might calculate it as:

Customers × transaction frequency × average order value = revenue

Similarly, your workforce cost won’t be just a figure on its own. It would be: 

Employees × average salary × benefits = workforce cost

And you can forecast your material costs using business drivers as:

Units sold × material requirement × commodity price = material cost

This creates a planning model that management can use to understand not only what is expected to happen, but why. And they can then test how changes in the underlying drivers affect financial outcomes.

Several FP&A platforms that serve mid-market firms support driver-based modelling. 

MODLR allows finance teams to build driver-based models using multidimensional structures that connect operational assumptions with financial outcomes. For example, revenue, workforce costs, production volumes or other business drivers can be modelled so that changes in underlying assumptions flow through forecasts and scenarios. See MODLR's guide to driver-based planning.

Anaplan describes driver-based planning as linking financial goals to operational activities such as headcount, sales volumes and pricing. 

Workday Adaptive Planning uses driver-based modelling across financial and operational planning, including demand, workforce and resource assumptions. 

Pigment similarly defines driver-based planning as linking financial outcomes to operational metrics so teams can forecast and test scenarios using the underlying causes of performance.

Planful defines driver-based planning around identifying the business and value drivers that influence financial outcomes and using those drivers to build plans, budgets and forecasts.

Cube supports driver-based financial models in which operational assumptions can be linked to forecasts, scenarios and dashboards within a governed planning model.

For mid-market buyers, the more useful question is not simply whether a platform supports driver-based planning, but how easily finance can define, change and connect those drivers as the business evolves.

4. Financial and operational planning

Finance does not operate independently from the rest of the business. It is all interconnected.

Revenue may depend on:

• Sales volumes

• Customer acquisition

• Pricing

• Production capacity

• Inventory

• Store numbers

• Student enrolments

• Consulting utilisation

• Shipment volumes

Costs may depend on:

• Employee numbers

• Commodity prices

• Distribution volumes

• Projects

• warehouse capacity

• supplier contracts

This is why connected planning becomes increasingly valuable as a company grows. Instead of maintaining separate plans for finance, sales, workforce and operations, a financial planning software platform helps the business connect the assumptions behind their plans and to understand how operational changes affect financial outcomes.

Several mid-market relevant FP&A platforms support this broader approach. 

MODLR is designed around connected financial and operational planning, allowing businesses to model financials and operations, collaborate on budgets and forecasts, and bring different planning processes into a shared environment. MODLR also provides dedicated capabilities for areas such as sales planning and workforce planning, where operational assumptions can be linked back to financial forecasts and business objectives.

Anaplan positions connected planning around linking finance with supply chain, sales and marketing, and HR. 

Workday Adaptive Planning similarly connects finance, workforce, sales and operational plans. 

And Pigment supports collaborative planning across finance, sales, marketing and supply chain. 

Planful connects financial and operational data and supports areas such as demand, inventory and supply planning so changes in operational assumptions can flow through connected plans.

Cube links financial plans with operational drivers such as workforce, revenue, capacity and other business assumptions within a single governed model.

For a growing mid-market business, this broader connected-planning capability may become increasingly important over time. The key question’s here are how far planning needs to extend beyond finance today, and how easily the platform can accommodate additional operational planning requirements as the organisation grows.

5. Data integration

A mid-market financial plan may depend on information from a variety of systems, including:

• ERP

• Accounting systems

• CRM

• Payroll

• HRIS

• Data warehouses

• POS systems

• Sales platforms

• Project systems

• Excel

• Operational databases

Manually exporting and combining this information every month recreates many of the spreadsheet problems FP&A software is intended to remove.

Several FP&A platforms support integration with the systems that feed financial and operational planning.

MODLR brings data from ERP, CRM, HR, accounting systems, databases and spreadsheets into a unified planning environment, with processes that can automate data import, transformation and synchronisation.

Anaplan provides data-management and orchestration capabilities, including connectors, APIs and tools such as Anaplan Data Orchestrator, to connect enterprise source systems directly with planning models.

Workday Adaptive Planning supports data integration from Workday as well as third-party systems such as NetSuite, Salesforce, Sage Intacct, spreadsheets, databases and other cloud or on-premise sources.

Pigment supports native integrations, data-lake connections and generic APIs across ERP, CRM, HRIS, BI, spreadsheet and file-storage systems.

Planful connects with ERP, HRIS, CRM, data warehouses and reporting tools, allowing finance teams to bring source-system data into planning models and automate data flows.

Cube connects with ERP, CRM, HRIS, BI and data-warehouse systems through standard and custom connectors, while also supporting flat-file imports

For mid-market buyers, it is important to look beyond the number of available connectors. Ask how difficult integrations are to build, change and maintain, how dependent finance will be on IT or consultants, and how quickly new data sources can be added as the business evolves.

6. Reporting and variance analysis

Planning should connect directly with performance reporting.

Finance should be able to compare: Actual vs Budget vs Forecast

And have the ability to drill into details such as: 

• Revenue variances

• Expense variances

• Department performance

• Product profitability

• Customer performance

• Regional performance

• Workforce costs

• Cash-flow movements

The goal is not simply to identify that a variance exists. Budget vs actual variance analysis should help finance understand why performance differed from plan and what management should consider doing next.

Modern FP&A platforms increasingly connect planning and reporting within the same environment. 

Anaplan supports management reporting that brings financial and operational metrics together, with dashboards, analysis and drill-down capabilities. 

Workday Adaptive Planning provides self-service reporting, dashboards, management reporting and variance analysis connected to planning data. 

Pigment combines budgeting, forecasting, reporting and variance analysis within its finance-planning environment.

MODLR follows a model-connected reporting approach in which Workviews, Cards and reports draw from the same underlying planning models. 

Read MODLR vs Competitors software platform comparison article for a summary of how MODLR, Anaplan, Workday Adaptive Planning and Pigment approach reporting and variance analysis. 

Planful connects reporting with source-system and planning data, allowing finance teams to refresh reports, drill from summaries to transaction-level detail and analyse financial performance.

Cube supports financial reporting and analysis across Cube, Excel and Google Sheets, including drill-through analysis and reporting from the same governed financial data.  It can track plan vs actuals and investigate key drivers and outliers.  

For mid-market finance teams, the important distinction isn’t simply about whether a platform can produce dashboards. It is necessary to know whether reports remain connected to your live planning models and how easily finance can create and change them. Also ask if users can easily move from reported variances back to the assumptions and operational drivers behind them.

7. Governance, permissions and auditability

As planning participation expands beyond finance, control becomes increasingly important.

The FP&A platform should allow firms to decide:

• Who can view particular information

• Who can enter or change data

• Who can modify assumptions

• Who can submit budgets

• Who approves submissions

• Which version of the plan is current

• What changed

• Who made the change

These planning governance and permission capabilities become particularly important when departmental managers, executives and operational teams participate directly in planning.

MODLR's user management and security capabilities include role-based access, granular permissions, user groups and audit trails designed to support controlled collaboration.

Governance is also an important component of the other platforms. 

Anaplan provides centralised security, governance, administration and auditability across its planning platform. 

Workday Adaptive Planning incorporates role-based access, integrated workflows and governance within its planning environment. 

Pigment provides granular access rights that can control what users or groups can view, modify or access within planning models.

Planful brings planning, budgeting, consolidation and reporting into a common finance environment, while its security framework includes controls and audit logging designed to protect financial data and platform activity.

Cube provides role-based access controls, cell-level permissions, version controls and audit trails designed to keep financial data governed and traceable back to its source.

For mid-market firms, strong governance should not mean creating unnecessary bureaucracy. The goal is to find a platform that provides enough control, auditability and security to support a growing number of planning contributors without making routine forecasting and analysis difficult to manage.

8. Implementation and Total Cost of Ownership (TCO)

For mid-market businesses, software cost is not simply the licence fee.

In calculating TCO, it is important to also consider additional costs that come with: 

• Implementation

• Data integration

• Model development

• Training

• Internal administration

• Specialist skills

• Consultant dependency

• Ongoing support

• Additional modules

• Cost of scaling to more users or models

A lower initial licence cost can become less attractive if the platform requires significant external support or specialist resources to maintain. Equally, choosing solely for low implementation effort can create another replacement project if the platform cannot accommodate future complexity.

Implementation and ownership models also differ between FP&A platforms.

MODLR supports a model-centric approach that can begin with priority planning requirements and expand over time. Buyers should test which modelling, integration and automation tasks trained finance and business users can maintain internally. Implementation effort, cost and external support depend on scope, integrations, model complexity, skills and governance.  

Anaplan offers both its highly configurable platform and ready-to-deploy applications. Its Integrated Financial Planning application is positioned as finance-owned and configurable, while broader or more complex enterprise deployments may involve specialist modelling, integration and implementation resources. 

Workday Adaptive Planning has an established implementation and partner ecosystem and is used across mid-market and enterprise environments. The resources, integrations and administration required can vary substantially depending on the breadth of the deployment and whether planning is being extended beyond finance.

Pigment emphasises business-led modelling, collaborative implementation and the ability for finance teams to adapt planning models as requirements change. As with other platforms, the eventual cost will depend on scope, integrations, user requirements and the level of specialist support required.

Planful takes a finance-focused approach spanning planning, reporting and financial performance management. Implementation and ongoing services are made available through Planful and its partner ecosystem. Buyers should assess the level of implementation support, administration and specialist expertise required for their particular use cases.

Cube supports Excel and Google Sheets workflows. Buyers should request an implementation plan covering data readiness, integrations, model migration, training and ongoing administration rather than assume a shorter rollout from spreadsheet familiarity. 

Your goal here is to understand total cost of ownership alongside time to value and long-term scalability.

Growing mid-market businesses should not take the approach of choosing the platform with the lowest headline price. Instead, they should try to understand what each option will cost to implement, operate, maintain and expand over three to five years. And how much ongoing internal or external expertise will be required to do so.

The most useful comparison should consider total cost of ownership alongside time to value, finance ownership and long-term scalability.

Best financial planning software for mid-market businesses

Since you are seeking a best-fit in financial planning software, here are some you should consider that would cater to the needs of a growing mid-market firm. 

The best-fit, however depends on your needs and the budget, as well as how each respective platform provides for flexibility and growth. 

1. MODLR

Consider when: 

Mid-market businesses requiring flexible financial and operational modelling, connected planning and strong finance ownership. 

MODLR is worth considering when the proposed solution meets your modelling, reporting, integration and governance requirements within your available budget and resources. 

MODLR is a corporate performance management and business modelling platform designed around connected financial planning. Its capabilities include budgeting, forecasting, financial reporting, scenario modelling, cash-flow forecasting and workforce planning.

MODLR supports multidimensional modelling for growing mid-market businesses.  

MODLR allows businesses to build multidimensional models reflecting their own business structures. 

For example, a retailer might plan across:

Entity × Store × Product × Channel × Account × Month × Scenario

A professional-services company might use:

Entity × Office × Client × Consultant × Project × Account × Month

This makes MODLR particularly relevant when standard budgeting software becomes too restrictive for growing businesses. 

MODLR also provides an Excel Add-in that allows organisations to retain Excel as a user interface while the underlying data, calculations, security and planning logic remain in MODLR.

A Simple Use Case with MODLR

A wholesale distributor has three companies and 12 branches. The finance division currently receives separate sales, payroll and expense spreadsheets from every branch.

With a connected model, the business could:

• Import actuals from its accounting or ERP systems.

• Forecast volumes by branch and product category.

• Apply selling-price and cost assumptions.

• Forecast payroll by employee or position.

• Aggregate entity results using configured rules; test currency translation, eliminations and any other consolidation requirements. 

• Run base, upside and downside scenarios.

• Produce management reports from the same model.

Each planning process uses the same underlying data and assumptions, instead of maintaining dozens of disconnected spreadsheets.

Consider MODLR when:

• Planning requirements are highly business-specific

• You want finance to retain substantial control over modelling

• Operational and financial planning need to connect

• Multidimensional analysis is important for you

• Scenario planning is becoming more sophisticated

• Excel remains important to finance users

• You need a path from spreadsheet-led planning towards connected planning

2. Workday Adaptive Planning

Consider when: 

Mid-market and larger organisations looking for an established financial planning platform with broad finance, workforce and operational planning capabilities.

Workday Adaptive Planning supports budgeting, forecasting, scenario planning, financial reporting, workforce planning and operational planning. Workday explicitly positions the platform for organisations ranging from small and medium businesses through larger enterprises.

For a mid-market organisation, Adaptive Planning may be attractive when finance wants a mature planning platform with established processes and the organisation expects planning to extend beyond the finance team.

Simple use case

A technology company employs 500 people across five countries. Its largest expense is payroll.

Finance could connect the business drivers to the overall financial forecast: 

Existing headcount + planned hires + salary assumptions + benefits + start dates

If management delays 20 planned hires by three months, finance can analyse the effect on:

• Payroll

• Operating expenses

• EBITDA

• Cash

• Department budgets

Workday also supports driver-based modelling for rolling forecasts.

Consider Workday Adaptive Planning when:

• Workforce planning is particularly important

• The organisation wants an established FP&A product

• Finance, HR and operational planning need to connect

• Scenario modelling is important

• You expect planning requirements to grow substantially over time

3. Anaplan

Consider when: 

Organisations approaching enterprise-scale planning complexity or needing planning to extend deeply across finance and multiple operational functions.

Anaplan is positioned around large-scale connected planning and scenario analysis.

Its financial planning capabilities include budgeting, forecasting, scenario modelling and collaborative planning. Buyers can evaluate its financial planning applications or wider connected planning across sales, workforce, supply chain and other operational areas.

That breadth can be extremely valuable.

Mid-market buyers should assess the scope, resources and cost of the proposed deployment against their planning needs. 

A Simple Use Case with Anaplan

A fast-growing consumer-products company wants to model:

Demand → Production → Inventory → Sales → Revenue → Margin → Cash

Changing the sales forecast would, therefore, change not only revenue but also production requirements, inventory levels and financial results.

This is the type of broad connected-planning problem for which platforms such as Anaplan can become particularly relevant. 

Consider Anaplan when:

• Your planning extends substantially beyond FP&A

• The organisation has complex models and many dimensions

• Several functions need interconnected plans

• Scalability is a major concern

• The business is prepared for a more sophisticated planning environment

For a detailed comparison, see MODLR vs Anaplan: Which Planning Platform Is Right for Your Business?

4. Pigment

Consider when: 

Growing companies looking for a modern planning environment that combines financial modelling, scenario analysis, collaboration and visual reporting.

Pigment positions itself as an AI-powered business-planning platform supporting budgeting, forecasting, reporting, workforce planning and broader enterprise planning.

Its emphasis on flexible modelling and modern user experience can make it attractive to finance teams trying to move away from spreadsheet-led processes.

A Simple Use Case with Pigment

A SaaS company wants to model recurring revenue using:

(Opening customers + New customers – Churned customers) × Average subscription value 

Finance could then connect those assumptions with:

• Sales hiring

• Marketing expenditure

• Customer acquisition

• Payroll

• Cash burn

• Profitability

Different churn or growth assumptions can then be tested through scenarios rather than by creating several disconnected spreadsheet models.

Consider Pigment when:

• A modern interface is a significant priority

• Financial and operational planning need to connect

• Scenario modelling is important

• Collaboration extends beyond finance

• Management wants visual, interactive planning

5. Planful

Consider when: 

Finance teams wanting planning, reporting and financial performance management within a finance-focused environment.

Planful brings planning, budgeting, forecasting, reporting, consolidation and financial performance management together within one platform.

Its planning functionality includes structured budgeting and forecasting as well as more dynamic planning capabilities.

This makes Planful worth considering for organisations where the project is strongly finance-led and reporting, consolidation and performance management sit alongside planning.

Simple use case

A group with eight subsidiaries needs to:

• Import actual financial results

• Build annual budgets

• Update quarterly forecasts

• Consolidate group results

• Compare budget against actual

• Produce monthly management reports

A finance-oriented performance-management platform can help bring these processes together rather than operating each through separate applications or spreadsheets.

Consider Planful when:

• The FP&A project is predominantly finance-led

• Budgeting and forecasting are core priorities

• Reporting is particularly important

• Consolidation requirements are significant

• Finance wants structured planning processes

6. Cube

Consider when: 

Mid-market finance teams that want stronger planning, governance and data management while continuing to work heavily in Excel or Google Sheets.

Cube takes a different approach from many planning platforms.

Its FP&A capabilities are designed to work closely with spreadsheets. This allows finance teams to manage budgets, forecasts and multidimensional analysis while retaining familiar spreadsheet interfaces.

In organisations where spreadsheet adoption is deeply embedded, Cube may reduce the behavioural change necessary during implementation.

A Simple Use Case

A 10-person finance team has sophisticated Excel models that work well, but monthly forecasting requires manually downloading data and updating dozens of workbooks.

A spreadsheet-oriented FP&A platform can centralise data and governance while allowing analysts to continue producing familiar Excel-based analysis.

Consider Cube when:

• Finance strongly prefers spreadsheets

• Rapid user adoption is a major consideration

• Existing Excel models remain valuable

• The immediate objective is improving FP&A control rather than implementing broad enterprise-connected planning

• The platform meets your model, integration and performance requirements

Mid-market financial planning software comparison