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How to calculate DSO: Formula, example, and best practices

Executive summary

The formula for DSO is simple, but the insights it provides are powerful. By tracking DSO consistently, comparing it with benchmarks, and applying best practices, finance teams can improve collections and unlock cash. If your DSO is climbing, it may be time to modernize your accounts receivable process. AI powered AR automation can help you collect faster, reduce disputes, and free your team from manual chasing.

Days Sales Outstanding (DSO) is a key accounts receivable metric that indicates the average time it takes for a company to collect payment after a sale. A low DSO means customers pay quickly, while a high DSO indicates delays and cash tied up in receivables.

In this guide you will learn the DSO formula, see a worked example, compare benchmarks, discover best practices to reduce DSO, and learn how to calculate the ROI of reduced DSO

The DSO formula

The standard formula for DSO is:

DSO = (Accounts Receivable ÷ Total Credit Sales) × Number of Days

Where:

  • Accounts Receivable is the value of outstanding invoices at the end of the period

  • Total Credit Sales is the total sales made on credit during the period

  • Number of Days is the length of the period, such as 30, 90, or 365 days

Example: How to calculate DSO

Imagine your company reports the following for the last quarter:

  • Accounts Receivable: 500,000

  • Total Credit Sales: 3,000,000

  • Number of Days: 90

Step 1: Divide Accounts Receivable by Credit Sales
500,000 ÷ 3,000,000 = 0.1666

Step 2: Multiply by Number of Days
0.1666 × 90 = 15

Your company’s DSO is 15 days. On average it takes 15 days to collect payment from customers after making a sale.

What Is a good DSO?

The answer depends on your industry and customer base.

  • SaaS companies often target a DSO between 30 and 45 days

  • B2B marketplaces may see DSO between 40 and 60 days

  • Manufacturing and distribution businesses often operate with 50 to 70 days

What matters most is how your DSO compares with peers in your sector and whether it is improving over time. A rising DSO can be a red flag that customers are paying late, that credit policies are too loose, or that collections processes are not effective.

Common causes of high DSO

High DSO can be caused by:

  • Invoices that are sent late or contain errors

  • Customers who systematically try to find reasons to pay late

  • Over-crowded email inbox where it’s hard to prioritise tasks that drive DSO

  • Lack of structured follow-up on overdue accounts

  • Manual collection processes that are slow and inconsistent

  • Dunning workflows that are not personalised to the customer

  • Payment disputes that take too long to resolve

How to calculate ROI from reducing DSO

  1. Find daily credit sales

    • Daily Credit Sales = Annual Credit Sales ÷ 365

  2. Calculate the cash released

    • Cash Released = Daily Credit Sales × Reduction in DSO (days)

  3. Apply the cost of capital

    • Annual Value = Cash Released × Cost of Capital (%)

  4. Subtract cost of improvements (e.g., AR automation software)

    • ROI = (Annual Value – Cost of Improvements) ÷ Cost of Improvements

Example: $100M revenue company

  • Annual Credit Sales: $100,000,000

  • Current DSO Reduction: 30 days

  • Cost of Capital: 10%

Step 1: Daily Credit Sales
$100,000,000 ÷ 365 = $273,973 per day

Step 2: Cash Released
$273,973 × 30 = $8,219,178

Step 3: Annual Value of Cash Released
$8,219,178 × 10% = $821,918 saved per year

Step 4: ROI Example with Software Investment
If AR automation costs $50,000 per year:
ROI = ($821,918 – $50,000) ÷ $50,000 = 1,543% ROI

Takeaway: For a $100M business, reducing DSO by just 30 days can unlock more than $8 million in working capital and generate close to $1M in annual financial benefit

Best practices to reduce DSO

  1. Invoice promptly and accurately
    Send invoices as soon as the sale is recorded. Double check for errors to avoid delays caused by disputes.

  2. Set clear credit terms
    Ensure customers know your payment terms before doing business. Shorter terms or incentives for early payment can accelerate cash inflows.

  3. Segment customers by risk
    Identify late payers and monitor them closely. Apply stricter credit policies where necessary.

  4. Automate reminders and follow ups
    Use AR automation tools to schedule polite payment reminders before and after due dates. Consistency improves collections and reduces manual work.

  5. Resolve disputes quickly
    Establish a process for fast resolution of billing issues. The longer a dispute lingers, the higher the chance of delayed payment.

  6. Leverage AI and automation
    Modern AR software can predict late payments, prioritize follow ups, and automatically draft tailored emails. Many companies see DSO drop by 10 to 20 percent within months of adopting automation.

Final thoughts

The formula for DSO is simple, but the insights it provides are powerful. By tracking DSO consistently, comparing it with benchmarks, and applying best practices, finance teams can improve collections and unlock cash.

If your DSO is climbing, it may be time to modernize your accounts receivable process. AI powered AR automation can help you collect faster, reduce disputes, and free your team from manual chasing.

Want to see how AI can cut your DSO in half?

Book a demo

FAQs

What is Days Sales Outstanding (DSO)?

How do you calculate DSO?

How can AI agents reduce DSO?

What metrics should finance teams track to improve DSO?

What causes a high DSO?

Why is reducing DSO important for cash flow?

Is debtor days the same as DSO?

Does remittance parsing help reduce DSO?

Is collection rate the same as DSO?

How do DSO, DPO and DIO affect free cash flow?

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Oct 12, 2025

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Copyright 2026 Paraglide AI

Product

Product overview

Billing support agent

Collection agent

Company

About

Careers

Contact us

Resources

Blog

Agents for accounts receivable

Agents for credit management

Agents for debt collection

Agents for order-to-cash

Agents for shared services

Agents for dunning

Legal

Privacy policy

Security & data protection

Terms & conditions

Copyright 2026 Paraglide AI