Cash flow forecasting is the process of estimating the flow of cash in and out of a business over a specific period of time. An accurate cash flow forecast helps companies predict future cash positions, avoid crippling cash shortages, and earn returns on any cash surpluses they may have in the most efficient manner possible.
Forecasting cash flow is typically the responsibility of a business’s finance team. But the process of building a forecast requires input from multiple stakeholders and data sources within a company, especially in larger companies.
Here’s how to build a cash flow forecast that gives your organization the visibility it needs to utilize its cash effectively.
The best way to forecast cash flow for your business depends on your business objectives, your management team’s or investor’s requirements, and the availability of information within your organization.
For example, a company seeking to gain visibility over quarter-end covenant positions will need a different forecasting process than a company that needs to manage debt repayments on a weekly basis. Here’s the process we recommend for building a cash forecasting model, as well as what kinds of data you’ll need access to in order to do so.
Note: For large/multinational organizations, building a cash flow forecast is a very involved process. If you’re building a forecasting process for that kind of business, our Cashflow Forecasting Setup Guide goes into the process below in greater depth.
To ensure you see actionable business insights from a cash flow forecast, you should start with determining the business objective that the forecast should support. We find that organizations most commonly use cash forecasts for one of the following objectives.
The right objective to build a forecast to support depends on the nature of your business. For example, businesses with debt will find value in creating a cash forecast that helps them prepare for payments they need to make. But they may not have a need to build a forecast that supports short-term liquidity planning unless they’re also tight on cash.
Once you’ve determined the business objective you hope to support with a cash flow forecast, the next thing to consider is how far into the future your forecast will look.
Generally, there’s a trade-off between the availability of information and forecast duration. That means the further into the future the forecast looks, the less detailed or accurate it’s likely to be. So, choosing the right reporting period can have a big impact on the accuracy and reliability of your forecast.
Here are the forecasting periods we recommend and the business objectives they’re best suited for:
There are two primary types of forecasting methods: direct and indirect. The main difference between them is that direct forecasting uses actual flow data, where indirect forecasting relies on projected balance sheets and income statements.
Choosing the right forecasting method depends on the cash flow forecasting window you selected above, as well as the kind of data you have available to build your forecasting model. Here’s a breakdown of what each method is most effective for:
Generally speaking, direct forecasting provides you with the greatest accuracy. However, it’s often unreliable for reporting periods longer than 90 days because actual cash flow data isn’t always available beyond that window.
Direct forecasting provides the greatest accuracy and works for the majority of business objectives that companies build forecasts to support. Therefore, we’ll focus on where to find actual cash flow data for your forecast in this section.
The right place(s) to source cash flow data for your forecast ultimately depends on how your business manages its finances. But, generally speaking, most of the actual cash flow data you’ll need to build your forecast can be found in bank accounts, accounts payable, accounts receivable, or the accounting software you use.
Here’s what you’ll want to pull from those systems:
A 13-week cash flow forecast is the most common forecast because it provides the best balance of accuracy and future-facing visibility. Here’s an example of what a rolling 13-week cash flow forecast actually looks like from CashAnalytic’s forecasting platform:
Note: The data breakdowns in the far left column can be structured any way you find most useful for your organization.
While the template above is just an example of one type of forecast, it’s a good starting point for how to structure any cash forecasting model you build, whether in a spreadsheet tool or in an automation platform like CashAnalytics.
In addition to ensuring that a business avoids cash shortages and earns a return on any cash surpluses, cash flow forecasting helps businesses thrive in other ways, such as:
Large companies often invest a lot of time and energy into forecasting at both a corporate and business level. But the majority of that time is spent on low-value activities like data collection and manipulation in spreadsheets rather than high-value activities like drawing useful insights from their data.
No finance or treasury function could run without spreadsheets. But automating the entire cash flow management process can save upward of 90% of the manual effort required to build and analyze a forecast using a spreadsheet.
Automation can also help an organization scale its forecasting process as it grows and changes as well. For example, when European brands Brammer and IPH merged to become RUBIX, they used CashAnalytics’ cash forecasting automation to simplify the work required to monitor cash levels and needs across their organizations as they merged.
Cash flow forecasting is the process of estimating the flow of cash in and out of a business over a specific period of time. An accurate cash flow forecast helps companies predict future cash positions, avoid crippling cash shortages, and earn returns on any cash surpluses they may have in the most efficient manner possible.
Forecasting cash flow is typically the responsibility of a business’s finance team. But the process of building a forecast requires input from multiple stakeholders and data sources within a company, especially in larger companies.
Here’s how to build a cash flow forecast that gives your organization the visibility it needs to utilize its cash effectively.
The best way to forecast cash flow for your business depends on your business objectives, your management team’s or investor’s requirements, and the availability of information within your organization.
For example, a company seeking to gain visibility over quarter-end covenant positions will need a different forecasting process than a company that needs to manage debt repayments on a weekly basis. Here’s the process we recommend for building a cash forecasting model, as well as what kinds of data you’ll need access to in order to do so.
Note: For large/multinational organizations, building a cash flow forecast is a very involved process. If you’re building a forecasting process for that kind of business, our Cashflow Forecasting Setup Guide goes into the process below in greater depth.
To ensure you see actionable business insights from a cash flow forecast, you should start with determining the business objective that the forecast should support. We find that organizations most commonly use cash forecasts for one of the following objectives.
The right objective to build a forecast to support depends on the nature of your business. For example, businesses with debt will find value in creating a cash forecast that helps them prepare for payments they need to make. But they may not have a need to build a forecast that supports short-term liquidity planning unless they’re also tight on cash.
Once you’ve determined the business objective you hope to support with a cash flow forecast, the next thing to consider is how far into the future your forecast will look.
Generally, there’s a trade-off between the availability of information and forecast duration. That means the further into the future the forecast looks, the less detailed or accurate it’s likely to be. So, choosing the right reporting period can have a big impact on the accuracy and reliability of your forecast.
Here are the forecasting periods we recommend and the business objectives they’re best suited for:
There are two primary types of forecasting methods: direct and indirect. The main difference between them is that direct forecasting uses actual flow data, where indirect forecasting relies on projected balance sheets and income statements.
Choosing the right forecasting method depends on the cash flow forecasting window you selected above, as well as the kind of data you have available to build your forecasting model. Here’s a breakdown of what each method is most effective for:
Generally speaking, direct forecasting provides you with the greatest accuracy. However, it’s often unreliable for reporting periods longer than 90 days because actual cash flow data isn’t always available beyond that window.
Direct forecasting provides the greatest accuracy and works for the majority of business objectives that companies build forecasts to support. Therefore, we’ll focus on where to find actual cash flow data for your forecast in this section.
The right place(s) to source cash flow data for your forecast ultimately depends on how your business manages its finances. But, generally speaking, most of the actual cash flow data you’ll need to build your forecast can be found in bank accounts, accounts payable, accounts receivable, or the accounting software you use.
Here’s what you’ll want to pull from those systems:
A 13-week cash flow forecast is the most common forecast because it provides the best balance of accuracy and future-facing visibility. Here’s an example of what a rolling 13-week cash flow forecast actually looks like from CashAnalytic’s forecasting platform:
Note: The data breakdowns in the far left column can be structured any way you find most useful for your organization.
While the template above is just an example of one type of forecast, it’s a good starting point for how to structure any cash forecasting model you build, whether in a spreadsheet tool or in an automation platform like CashAnalytics.
In addition to ensuring that a business avoids cash shortages and earns a return on any cash surpluses, cash flow forecasting helps businesses thrive in other ways, such as:
Large companies often invest a lot of time and energy into forecasting at both a corporate and business level. But the majority of that time is spent on low-value activities like data collection and manipulation in spreadsheets rather than high-value activities like drawing useful insights from their data.
No finance or treasury function could run without spreadsheets. But automating the entire cash flow management process can save upward of 90% of the manual effort required to build and analyze a forecast using a spreadsheet.
Automation can also help an organization scale its forecasting process as it grows and changes as well. For example, when European brands Brammer and IPH merged to become RUBIX, they used CashAnalytics’ cash forecasting automation to simplify the work required to monitor cash levels and needs across their organizations as they merged.
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