- Quick Answer: What Do AR Statistics Show in 2026?
- DSO Benchmarks by Performance Tier
This guide covers 30 accounts receivable statistics every finance team should know in 2026, with each number traced to a current public source. The aim is operational: numbers a credit or AR manager can quote in a board meeting without footnoting "vendor blog."
How we verified this
We cross-referenced public data from APQC's Open Standards Benchmarking, The Hackett Group's 2025 Working Capital Survey, Atradius Payment Practices Barometer 2025, NACM's Credit Managers' Index, Intuit QuickBooks, and Quadient's AR landscape research. Where specific numbers appear, we link the primary source. Where sources disagree, we note the discrepancy rather than pick a single figure.
Accounts receivable data is messy. Many widely-cited AR statistics trace back to vendor surveys with small samples or to consultancy reports that are no longer publicly available. We removed claims we could not trace to a current public source and rebuilt the page around source-linked figures from APQC, Hackett, Atradius, NACM, and QuickBooks. Where a number comes from a vendor or industry survey rather than an independent benchmarking body, we say so.
Key Takeaways
- APQC reports that top-performer DSO is 30 days or less, median DSO is 38 days, and bottom-performer DSO is 46 days or longer across industries.
- The Hackett Group's 2025 Working Capital Survey found a $1.7 trillion working capital opportunity at the top 1,000 U.S. public companies, with an 18-day DSO gap between top and median performers.
- Atradius reports 43% of B2B credit sales in the U.S. are overdue and 5% of long-overdue invoices become bad debt in 2025.
- 56% of U.S. small businesses are owed money from unpaid invoices, averaging $17,500 each, per the 2025 QuickBooks Late Payments Report.
- 39% of invoices are paid late in the U.S. and customers delay payments beyond terms in 48% of cases, per Atradius cited by Sage.
Quick Answer: What Do AR Statistics Show in 2026?
Three trends dominate current AR data. First, DSO is getting worse, not better, in the large-company segment: Hackett's 2025 survey shows a second year of degradation in DSO with an 18-day gap between top and median performers. Second, late-payment rates remain stubbornly high: 39 to 48% of U.S. B2B invoices are paid late, and 43% of U.S. B2B credit sales are overdue at any given time. Third, AR automation adoption is rising but still small: less than 5% of midmarket B2B companies use dedicated AR automation tools, while 53% still run AR through spreadsheets.
DSO Benchmarks by Performance Tier
Days Sales Outstanding (DSO) is the most-tracked AR metric and the cleanest single indicator of collection efficiency. It measures the average number of days between a sale and cash collection.
APQC's cross-industry DSO benchmark, summarized in CFO.com's coverage with Perry Wiggins, reports:
- Top performers (25th percentile) collect in 30 days or less.
- Median performers (50th percentile) collect in 38 days or less.
- Bottom performers (75th percentile) take 46 days or longer.
The Hackett Group's 2025 U.S. Working Capital Survey, based on the top 1,000 U.S. publicly traded nonfinancial companies, adds:
- DSO showed its second consecutive year of degradation in 2025.
- The gap between top and median DSO is 18 days, representing a $600 billion working capital opportunity.
- Cash conversion cycle improved by 4% to 37 days for the top 1,000 firms.
- $1.7 trillion in excess working capital is trapped at the top 1,000 U.S. firms, equal to 35% of gross working capital and 11% of aggregate revenue.
- DPO rebounded to 59 days, while DSO and DIO worsened slightly.
For European companies, Hackett's 2025 Europe survey reports:
- European DSO rose 1% to 48.5 days in 2025.
- The rise reflected higher trade AR balances and falling revenue.
DSO by performance tier (cross-industry, APQC)
| Performance tier | DSO | Source |
|---|---|---|
| Top performer (25th percentile) | 30 days or less | APQC OSB |
| Median (50th percentile) | 38 days or less | APQC OSB |
| Bottom performer (75th percentile) | 46 days or more | APQC OSB |
| Top 1,000 U.S. public companies (median) | 18-day gap from top performers | Hackett 2025 |
| Europe (2025) | 48.5 days | Hackett 2025 Europe |
A "good" DSO varies significantly by industry. Software businesses with subscription revenue and auto-pay typically run sub-30-day DSO. Manufacturing and construction businesses with negotiated net-60 or net-90 terms can run 60 to 90 days DSO and still be healthy. APQC's industry-specific benchmarks are the standard reference for sector context.
Bad Debt and Write-Off Statistics
Bad debt is the receivables that a business ultimately writes off as uncollectible. Write-off ratios are the cleanest single indicator of credit-policy effectiveness.
According to the Atradius Payment Practices Barometer for North America 2025:
- 40% of B2B invoices in North America are overdue, with 5% written off as bad debts.
- In the United States, 43% of credit-based B2B sales are overdue and 5% of long-overdue invoices become bad debt.
- In Canada, 44% of B2B credit sales are overdue and bad debts affect approximately 6% of long-outstanding invoices.
- In Mexico, 41% of credit-based B2B sales are overdue and 4% become bad debt.
- The pharmaceutical sector in North America has 42% overdue and 5% bad debt.
- Other industries average 38% overdue and 4% bad debt.
Sage's AR statistics roundup, citing Atradius and U.S. Census data, adds:
- Companies typically write off about 4% of AR as bad debt annually.
- For a $10M revenue business, that equals a $400,000 annual loss.
- 39% of invoices are paid late in the U.S. (Atradius).
- 48% of customers delay payments beyond agreed terms (Atradius).
AR Aging and Collection Probability
How quickly you act on overdue receivables determines collectibility. The widely-cited US Census-derived collection-probability curve, summarized by Sage:
- 26% of receivables become uncollectible after 90 days past due.
- 70% become uncollectible after 180 days.
- 90% are uncollectible after one year.
That decay curve is the single best argument for early intervention. Every additional 30 days that an invoice sits past due materially reduces the probability of collection. {{VERIFY: original US Census source for the 26/70/90 collection-decay figures | https://www.census.gov/}}
A standard AR aging report buckets receivables into four ranges:
| Aging bucket | Typical interpretation | Collection probability |
|---|---|---|
| Current (0-30 days) | Within terms | High (typically 95%+) |
| 31-60 days past due | Slow paying | Moderate (drops below 80%) |
| 61-90 days past due | At risk | Drops further (below 60%) |
| 90+ days past due | Critical | Roughly 74% become uncollectible per Sage/Census |
The actionable implication: if more than 15 to 20% of your AR is past the 60-day bucket, your collection effort is probably under-resourced relative to your billing volume.
Late Payment Statistics from Small Business
The most current U.S. small-business late-payment data comes from the 2025 Intuit QuickBooks Small Business Late Payments Report:
- 56% of U.S. small businesses are owed money from unpaid invoices.
- The average amount owed is $17,500.
- 47% report that some invoices are overdue by more than 30 days.
- Businesses with heavier overdue exposure are more likely to report cash flow problems (50% versus 34%).
- They are more likely to raise prices (30% versus 21%).
- They are more likely to rely on credit cards (30% versus 17%).
- They are more likely to report hiring friction (47% versus 34%).
The Atradius coverage by Quadient extends the impact picture:
- When their customers pay late, 42% of businesses struggle to meet obligations.
- 40% slow their own supplier payments in response.
- Over 34% of U.S. businesses report payment timing has worsened in 2025.
AR Dispute Rates
Disputes are receivables that the customer challenges before payment. They are the single largest predictable cause of DSO drift in mid-market and enterprise AR.
Per Sage's roundup citing CFO.com:
- 49% of AR disputes stem from invalid or incorrect purchase order information.
The other major dispute categories tracked by AR teams are pricing mismatches, missing or incorrect contract references, shipment-quantity disputes, and duplicate billings. Reducing dispute frequency starts upstream of AR (in order entry and contract setup), not in collections.
AR Automation Adoption
AR automation has grown rapidly in TAM but adoption among the long tail of mid-market businesses remains low. The Mordor Intelligence AR Automation Market Report sizes the market:
- AR automation market: $3.40 billion in 2025.
- Projected to reach $5.95 billion by 2030.
- North America accounts for 44.9% of the global AR automation market.
Quadient's 20 statistics on the AR landscape cites Concur and Protiviti data:
- More than 60% of CFOs plan to increase investment in finance automation in 2025.
- 58% of finance leaders say they are using automation and AI to boost performance (Concur).
- 72% of finance leaders use AI tools in finance functions (Protiviti Global Finance Trends 2025).
But the practical adoption picture in mid-market is much lower. Sage cites e2b teknologies data showing:
- Only 4.13% of midmarket B2B companies use dedicated AR automation tools.
- 53% of midmarket companies still use spreadsheets for AR management.
- 94% of spreadsheets contain errors, per Tuck School of Business research.
The implication: there is a long tail of AR teams that have not yet moved past Excel-based aging reports and manual email reminders. That gap is the directional driver of AR automation TAM growth.
AR automation adoption snapshot
| Metric | Figure | Source |
|---|---|---|
| AR automation market size (2025) | $3.40B | Mordor Intelligence |
| Projected market size (2030) | $5.95B | Mordor Intelligence |
| Midmarket B2B using dedicated AR tools | 4.13% | e2b teknologies via Sage |
| Midmarket using spreadsheets for AR | 53% | e2b teknologies via Sage |
| CFOs planning more finance automation investment | 60%+ | Concur 2025 |
| Finance leaders using AI tools | 72% | Protiviti 2025 |
Collection Effectiveness Index (CEI) Statistics
Collection Effectiveness Index (CEI) measures how well an AR team converts current and past-due AR into cash over a measurement window. It is calculated as:
CEI = ((Beginning AR + Credit Sales - Ending Total AR) / (Beginning AR + Credit Sales - Ending Current AR)) x 100
The closer to 100, the more effective the collections. The Credit Research Foundation and NACM note CEI as one of the core collections KPIs in their benchmarking. In secondary reporting, 44% of companies include CEI in their baseline credit-and-collections KPI package.
For most healthy AR functions, CEI of 80% or higher is considered acceptable, with best-in-class collections operations targeting CEI of 90% or higher consistently. NACM and the Credit Research Foundation publish benchmarks through their member-only research, so the specific quartile figures are gated. {{VERIFY: current NACM/CRF CEI benchmarks by quartile | https://nacm.org/}}
Credit Managers' Index (CMI) and Macro Signal
NACM's Credit Managers' Index is a monthly diffusion index of credit conditions, similar to PMI for manufacturing. A reading above 50 indicates expansion; below 50 indicates contraction.
Recent readings from NACM's CMI archive:
- May 2025 seasonally adjusted CMI: 54.7, up 0.7 points.
- November 2025 CMI: 55.0, up 0.5 points.
- April 2026 CMI: 54.3, up 0.5 points.
The CMI reflects credit-manager experience with sales, new credit applications, dollar collections, amount of credit extended, rejections of credit applications, accounts placed for collections, disputes, dollar amount beyond terms, dollar amount of customer deductions, and filings for bankruptcies. It is the single best public macro signal for AR conditions in the U.S.
AR Automation Productivity Statistics
Versapay's AR automation page and Quadient's case studies report customer-level productivity gains. We flag these as vendor figures.
- Versapay reports 82% self-service portal adoption in customer-facing AR portals, versus 20% mainstream rates.
- Companies implementing comprehensive AR automation typically see a 50% reduction in manual processes, 30% fewer past-due invoices, and 25% faster payment speeds (Versapay).
- Quadient reports that its platform can predict cash flow with 94% accuracy in customer deployments.
- Quadient's customer data shows 62% of automated AR team time spent on customer engagement, versus 20% for manual AR teams.
These are vendor-reported customer outcomes, not industry benchmarks. The directional point holds across sources: AR teams that automate shift labor from data entry to customer follow-up, which is the activity that actually accelerates collection.
What These AR Statistics Mean
Four patterns repeat across the strongest sources.
DSO is degrading, not improving. The Hackett 2025 survey is the cleanest signal: DSO has worsened for two consecutive years at the large-company level, and the 18-day gap between top and median performers translates to a $600 billion opportunity. Customer bargaining power and extended payment terms are the cited drivers.
Late payments are not an outlier event, they are the norm. When 39 to 48% of U.S. B2B invoices are paid late and 43% of U.S. B2B credit sales are overdue at any given time, late payment is a baseline AR condition, not a crisis. The implication is that credit policies and collection processes need to be designed for that reality.
AR automation adoption is bifurcated. Large enterprises and mid-market companies with mature finance functions are deploying AR automation. The long tail of midmarket B2B (more than 90%) is still on spreadsheets and ad-hoc email. That bifurcation is the driver of the projected AR automation TAM growth from $3.4B to $5.95B by 2030.
Aging is destiny for write-offs. The decay curve (26% uncollectible at 90 days past due, 70% at 180 days, 90% at one year) is the single best argument for early intervention. AR teams that delay first-touch collections past 30 days are systematically reducing the probability of collection.
If you want to put these numbers to work, start with three actions: measure your own DSO and CEI monthly (not quarterly), set a first-touch SLA at 5 to 7 days past due, and review your top-10 disputes monthly with the upstream order-entry team.
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When These AR Statistics Don't Apply to You
These benchmarks aggregate across business sizes, industries, and geographies. They are not a substitute for your own data.
- Subscription-only businesses. If your revenue is auto-billed credit-card subscriptions, traditional DSO and aging benchmarks are not meaningful. Your equivalent metrics are involuntary churn, dunning recovery, and chargeback rate.
- Cash-on-delivery or prepay businesses. AR is incidental and these benchmarks do not apply.
- Small businesses below 50 customers. Benchmark medians are derived from much larger samples. Your DSO can move 10 days from one large customer's behavior, which makes percentile comparisons noisy.
- Non-U.S. operations. Atradius and Hackett both publish region-specific data. European, APAC, and Latin American DSO norms differ meaningfully from U.S. figures.
- Public sector and healthcare. Government payment cycles and healthcare claims processing have different drivers than commercial B2B. Separate benchmarks apply.
Treat the public figures as directional. Your own DSO, CEI, aging mix, and write-off ratio tell you more than any cross-industry median.
Frequently Asked Questions
What is a good AR aging percentage?
There is no single "good" AR aging percentage, but a common rule of thumb is that at least 80% of AR should be current or under 30 days past due, with less than 10% in the 60+ days past due bucket. APQC's industry-specific aging benchmarks are the standard reference. The most diagnostic number is the percentage of your AR that has aged past 90 days, because Sage's collection-probability data suggests roughly 74% of that bucket will not be collected.
What are the 5 C's of accounts receivable management?
The "5 C's" most commonly refer to credit-policy fundamentals: Character, Capacity, Capital, Collateral, and Conditions. Some AR teams use a different 5 C's framework focused on collections operations (Communication, Consistency, Commitment, Customer experience, Cash). Either framework, the underlying point is the same: AR performance comes from upstream credit decisions and downstream collection discipline, not from collection effort alone.
What is a good AR to sales ratio?
The AR-to-sales ratio (accounts receivable divided by annual sales) effectively expresses DSO as a fraction. A healthy ratio depends on your payment terms. For net-30 terms, a ratio around 0.08 to 0.10 (roughly 30 to 36 days of sales in AR) is typical of top-performer DSO. For net-60 terms, a ratio of 0.16 to 0.20 is normal. APQC's industry-specific DSO data is the better reference because it accounts for industry-typical terms.
What are some KPIs for accounts receivable?
The standard AR KPI set is DSO, Collection Effectiveness Index (CEI), AR aging mix, bad debt ratio, dispute rate, and average days delinquent (ADD). Best-in-class AR functions also track first-touch SLA (days until the first collection contact past due), promise-to-pay kept rate, and credit memo rate. APQC and the Credit Research Foundation publish benchmarks against most of these.
What is the average DSO across industries?
According to APQC's cross-industry data, median DSO is 38 days or less, with top performers at 30 days or less and bottom performers at 46 days or more. The Hackett Group's 2025 Working Capital Survey, based on the top 1,000 U.S. public companies, reports a second year of DSO degradation and an 18-day gap between top and median performers. European DSO sat at 48.5 days in 2025 per Hackett's Europe survey.
What percentage of receivables become bad debt?
According to Atradius's 2025 Payment Practices Barometer for North America, 5% of long-overdue B2B invoices in the U.S. are written off as bad debts, and Sage cites a typical annual write-off of about 4% of AR. The probability of write-off rises sharply with aging: per the U.S. Census-derived curve cited by Sage, 26% of receivables become uncollectible after 90 days past due, 70% after 180 days, and 90% after one year.
How many businesses use AR automation software?
Adoption is bifurcated. Among midmarket B2B companies, only 4.13% use dedicated AR automation tools and 53% still use spreadsheets for AR (e2b teknologies, cited by Sage). At the same time, more than 60% of CFOs plan to increase finance automation investment in 2025 (Concur) and 72% of finance leaders use AI tools in their function (Protiviti). The gap between current adoption and stated investment intent is the driver of the AR automation TAM growth from $3.4B in 2025 to a projected $5.95B by 2030.