Payroll Dashboard — H1 2026

What the mix says

Payroll (net) is the largest single line at 55% of H1 people cost, followed by employer payroll tax (22%) and contractors (20%). Reimbursements and benefits together are under 4%.

People cost as a share of total operating expense runs highest in January (73%) when annual items load into the Gusto run, and settles into the high-50s to mid-60s for most other months.

As a share of revenue, people cost is heaviest in January (>100% of that month's revenue, matching the seasonal January net loss on the Financial Dashboard) and lightest in April (38%), as revenue ramped faster than payroll that month.

What to verify with Deb/Brian

"Beall" billed Jan–Mar only (3, 5, then 1 visit, tapering to $0 paid in March) then disappears from the feed entirely. Worth confirming whether this is a covering/locum provider who stopped, or a data-entry variant of another name.

"Ullger, Cory" bills exactly 1 visit at a flat $29 every month (2 in June) — that pattern looks more like a supervising or incident-to billing code artifact than an actual separate clinician. Flag for the payroll-register review rather than counting as a 7th provider.

The 4-provider core panel (Mayrsohn, AlFarra, Rosario, Timoney) is stable across all six months — no adds or drops among the named clinicians the Analytics Dashboard already tracks.

What the production view says

Mayrsohn carries ~77% of H1 visits (3,461 of 4,483) and the large majority of collections, consistent with a physician-led solo-heavy panel supported by three PAs.

AlFarra's volume and collections both fell steadily through H1 — 79 visits/$11.7K in January down to 19 visits/$115 in June. That's the sharpest drop of any provider on the panel and is worth a direct check on hours, status, or a data-attribution issue before reading it as a real production decline.

Timoney's volume grew through Q1 into Q2 (15 → 40 visits Jan→Apr) before pulling back in May–June — worth cross-checking against the ramp assumptions in the forecast model's new-PA scenarios.

The June spike in "Unattributed" visits (121, vs. 17–25 in every other month) is worth a data-quality check — that's a lot of claims without a clean provider match in one month.

How to read this

The all-in net per visit is barely positive across H1 — $9.46 — and that blended figure hides real swings: January (–$93.13) and June (–$19.92) lost money on the average visit once card spend is counted, while March and April cleared $55–72 per visit. This is the per-visit version of the Financial Dashboard's "two nets" finding (bank-basis $159.6K net vs. all-in $42.4K net).

People cost is only 59% of the all-in cost per visit ($120.53 of $203.74 H1-blended) — the rest is rent, supplies, insurance, EHR/RCM, marketing, and card spend. A dashboard that only tracked payroll would have overstated how much cheaper April/May visits were, since non-labor costs move on a different rhythm than Gusto runs.

Visit volume was fairly steady (673–796/month) while total cost swung much more — so month-to-month cost-per-visit changes are driven by expense timing (January loading, June's buildout invoices and heavier card cycle), not by patient volume changes.

This is a company-wide blended figure, not a per-provider cost per visit — a true per-provider version would need per-employee compensation (still not available; see Notes) allocated against the Per-Provider Detail tab's visit counts.

What stands out

No Fault 15 is the single worst-performing appointment type — 172 of 342 scheduled visits (50.3%) never happen as booked, and it's also one of the highest-volume types. That's roughly one lost No Fault slot every day across the 60-day window.

Virtual visits hold up best — VIRTUAL VISIT 15 loses only 26.5% of bookings, well below the 38.3% overall average, and below every in-person type with meaningful volume.

Most "lost" time is rescheduling, not true attrition — 578 of 1,116 lost appointments (51.8%) are patient reschedules, meaning the patient is still coming, just not on that date. True no-shows (143, 12.8% of losses) and outright patient cancellations (236, 21.1%) are the harder losses.

The cancellation rate improved slightly from June to July (39.6% → 36.9%), though July is a partial month (through the 29th) so the comparison isn't quite apples-to-apples.

This connects to the Cost per Visit tab: every cancelled or no-show slot is a scheduled provider hour that still carries labor cost but produces no visit and no revenue. No Fault and Follow Up 15 slots — the two highest-volume, highest-cancel-rate types — are the biggest concentration of that risk.