Days in A/R Benchmark: What Good Looks Like in 2026

EditorialOriginal analysis · MedOutbound Editorial
TL;DR

Days in accounts receivable measures how long revenue sits waiting to be collected. MGMA benchmarks put the median physician practice at 47 days; better performers sit at 36. In 2026, the industry median has crept up 2.4 days driven primarily by Medicare Advantage prior-authorization backlogs and pended claims awaiting medical-record review. Calculating days-in-AR correctly requires 90 days of charge history and total outstanding A/R divided by average daily charges. Practices above 55 days should investigate; above 65 signals systemic follow-up failure.

Days in A/R is the single most-cited operational metric in medical billing, and also the single most miscalculated one. Here is what the benchmarks actually say, what drives them, and what you can do to move yours.

The benchmark

According to MGMA Cost and Revenue Survey data:

PercentileDays in A/R
Top-quartile (better performers)36 days
Median47 days
Bottom-quartile55+ days

In 2026, the industry median trended up 2.4 days from the 2024 baseline. The drivers are structural, not vendor-specific.

How to calculate it correctly

Formula: Total A/R balance / average daily charges (trailing 90 days).

Example: A practice with $360,000 outstanding A/R and $1,080,000 in charges over the trailing 90 days:

  • Average daily charges = $1,080,000 / 90 = $12,000
  • Days in A/R = $360,000 / $12,000 = 30 days

Common mistakes:

  • Using only the last month of charges (introduces seasonal noise from vacations, holidays, EHR outages)
  • Including patient responsibility A/R without separating (patient A/R behaves fundamentally differently)
  • Failing to net contractual adjustments (inflates A/R artificially)

The right practice: report days-in-AR three ways — total, insurance-only, and patient-only — so trends in each segment are visible.

What drives days in A/R up

Payer mix shift

A practice that adds a Medicare Advantage plan will see days-in-AR increase 4-7 days on those claims due to prior-auth cycles. This is not a vendor failure — it is a payer-mix effect.

Charge-lag time

Every business day of delay in submitting claims adds one day to days-in-AR. Practices with 5-day charge lag are handicapping themselves by 5 days versus practices with 1-day charge lag.

First-pass acceptance rate

Every rejected claim adds 10-30 days to the recovery cycle depending on payer. A 5% drop in first-pass acceptance can translate to 3-5 days added to days-in-AR.

Aged A/R accumulation

Claims over 90 days rarely collect but continue to inflate the metric. Practices that never clean up aged A/R gradually see days-in-AR drift up 1-2 days per year.

Follow-up capacity

Most claim rejections and denials need human follow-up within 15 days to have a reasonable chance of recovery. Understaffed follow-up teams create a permanent backlog.

How to bring days in A/R down

1. Cleanup pass on 91-180 day A/R (2-4 week project)

Audit every claim in the 91-180 day bucket. Categorize: appealable, non-appealable, patient responsibility, write-off. Actively work the appealable claims. Write off the non-appealable claims and move them off A/R. Expected effect: 5-10 day reduction in days-in-AR.

2. Attack charge lag (ongoing)

Move charge entry to the same day as the encounter. This alone can reduce days-in-AR by 2-4 days.

3. First-pass acceptance discipline (30-90 day project)

Analyze rejection patterns by payer and CPT. The top 5 rejection reasons usually account for 60%+ of rejections. Fix the front-end validation rules that cause them.

4. Payer-specific follow-up SLAs

Medicare, Medicaid, and each commercial payer has a different natural response cycle. Set follow-up triggers at 20/45/75 days after submission and enforce them.

5. Segment reporting

Stop looking at a single days-in-AR number. Segment by payer, provider, and CPT category. Problems concentrate — you find them faster with segmentation.

Realistic targets by practice profile

Practice profileRealistic days-in-AR target
Solo, fee-for-service Medicare heavy30-35
Solo, mixed payer including 20%+ MA40-45
Multi-specialty group, mixed payer40-50
High-complexity specialty (cardiology, oncology, ortho)45-55
Behavioral health, high patient responsibility45-60

A vendor promising 30 days for a high-MA cardiology practice is either not going to deliver or is planning to write off aggressively. Neither is what you want.

Bottom line

Days-in-AR is a symptom, not a disease. Chasing the number in isolation produces gaming. Understanding the drivers — payer mix, charge lag, first-pass acceptance, aged A/R, and follow-up capacity — lets you improve the number sustainably. Compare your practice against MGMA's median-47 benchmark first, and against the practice-profile-specific target above once you know your own drivers.

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Answers

How is days in A/R actually calculated?
Total accounts receivable balance divided by average daily charges over the trailing 90 days. Example: $360,000 A/R divided by ($1,080,000 in trailing 90-day charges / 90 days) = $360,000 / $12,000 = 30 days. Using less than 90 days introduces seasonal noise; using more than 120 days masks recent operational changes.
Why did days in A/R go up in 2026?
Two structural drivers: Medicare Advantage prior-authorization requirements added an average 4-7 days to reimbursement cycles on affected claims, and increased medical-record-review requirements on inpatient and complex outpatient claims added another 3-5 days. Practices with high MA payer mix have felt this more acutely than fee-for-service Medicare practices.
What is the fastest way to bring days in A/R down?
Attack the aged A/R first — claims over 90 days rarely get collected but they inflate the metric. A focused 60-day cleanup on 91-180 day claims typically drops days-in-AR by 5-10 days. Sustained improvement requires attacking charge-lag time and first-pass acceptance so new claims do not age into the same bucket.
Is 30 days achievable?
Yes, but only for very specific practice profiles: high fee-for-service Medicare mix, low prior-auth burden, in-network with all payers, and dedicated same-day follow-up on all rejections. Most multi-specialty groups will not hit 30 without material investment in front-end automation.