Key Takeaways
- Rebuild monthly paid FTE from contracts, billing, attendance, and collections.
- Use licensed, configured, and staffed capacity as separate denominators.
- Measure starts, withdrawals, and cohort retention, not just closing headcount.
- Clean and age the waitlist before treating it as evidence of demand.
- Value incremental enrollment through contribution margin and execution risk.
Build a roster-to-cash bridge
For each month show opening contracts, starts, withdrawals, closing contracts, paid FTE, gross billings, discounts, subsidy claims, collections, and ending receivables. A stable year-end headcount can conceal severe churn when starts merely replace departing families.
Assume January begins with 90 contracts, adds 8, loses 6, and closes at 92. If contracted FTE is 74.5 and cash collected is $151,000, the useful measures are not interchangeable. Repeat for twelve to twenty-four months. Reconcile child-level billing to the general ledger and deposits; screenshots of a dashboard do not prove the center collected the tuition represented by its headline enrollment.
Choose the denominator that tests the question
Licensed capacity measures agency authorization. Configured capacity measures seats supported by the present room layout and age approvals. Staffed capacity measures seats the current qualified team can supervise across the full day. If a 100-slot license is configured for 92 and staffed for 78, then 72 paid FTE equals 72 percent, 78.3 percent, or 92.3 percent occupancy depending on the denominator.
All three belong in diligence. The gap from licensed to configured may reveal unused rooms or age-band restrictions. The gap from configured to staffed reveals hiring needs. The gap from staffed to paid FTE suggests market, pricing, reputation, or conversion issues.
Translate enrollment into contribution, not gross tuition
An additional child contributes tuition less variable and step-fixed costs. One infant may trigger another teacher sooner than one preschool child because ratios and room grouping differ under state rules. Food, supplies, card fees, and subsidy collection risk also vary.
Illustrate the next ten paid FTEs by age band. If annual gross tuition is $168,000, direct variable cost is $22,000, and the enrollment requires a $48,000 teacher plus $9,000 payroll burden, incremental center contribution is $89,000 before central overhead. If only four children enroll, the same staffing step may reduce contribution dramatically. Model the room, not a center-wide average margin.
Read trend, churn, and waitlist quality
Calculate monthly gross starts, withdrawals, net movement, and retention by entry cohort. Ask why families left and whether departures cluster by classroom, teacher, tuition change, or complaint. Seasonal school-age exits should not be confused with dissatisfaction, but recurring toddler withdrawals after a lead changes are evidence.
A waitlist should be de-duplicated and sorted by age, schedule, desired start, deposit, and most recent confirmation. Sixty names can shrink to twelve currently interested families and then to three who fit open rooms. Treat the converted history as evidence and the remainder as a pipeline. Never add projected children to historical earnings as an add-back.
Run three valuation scenarios
The base case uses current paid FTE, current tuition, normalized collection loss, and the staffing grid required today. The supported improvement case includes only hires, room approvals, marketing spend, and enrollment timing backed by evidence. The downside models observed withdrawal behavior, wage pressure, or a delayed classroom reopening.
For each case show revenue, direct classroom labor, other variable cost, facility and management cost, and resulting SDE or EBITDA. Then apply the same market framework so the reader sees that value changed because cash flow changed, not because an arbitrary “occupancy premium” appeared. Tie any price protection to measurable definitions such as collected revenue or paid FTE, not raw headcount.
A diligence worksheet for this question
| Workpaper field | What to record | Evidence standard |
|---|---|---|
| Measurement date | The exact period or date used | Source-system export or dated document |
| Definition | Numerator, denominator, inclusions, exclusions | Written calculation that another reviewer can reproduce |
| Historical result | Actual reported and normalized amount | Ledger, payroll, roster, remittance, or agency file |
| Adjustment | Dollar effect and reason | Invoice, contract, market quote, or reconciled schedule |
| Scenario | Base, supported improvement, and downside | Assumptions separated from facts |
| Open issue | Owner, deadline, and decision consequence | Written third-party or agency response where needed |
Use this worksheet to keep observed facts separate from assumptions. Reconcile every monetary conclusion to the period used in the financial statements and preserve the source date. If an item cannot be verified, leave it open rather than converting confidence into a number.
Cohort math that changes the conclusion
A seller reports occupancy rising from 78 to 86 children over twelve months. The child-level bridge shows 54 starts and 46 withdrawals, so the net gain masks turnover equal to more than half the average roster. Paid FTE rose only from 66 to 69 because many new contracts were part-time. Collections per FTE were stable, which means growth in headline children contributed much less revenue than the marketing summary implies.
Next compare denominators. The license permits 104, rooms are configured for 96, and current qualified staffing supports 76. At 69 paid FTE, utilization is 66.3 percent of licensed capacity but 90.8 percent of staffed capacity. The apparent occupancy problem is primarily a hiring constraint. A forecast that fills fifteen more slots without adding teachers is internally inconsistent.
Build the supported improvement case room by room. State the hire date, wage, approved group size, expected starts, acquisition cost, withdrawals, and collection lag. If a new teacher enables eight FTE producing $150,000 of collected tuition and $72,000 of incremental contribution, capitalize only the risk-adjusted contribution at the appropriate future point—not the gross tuition and not the eight empty license slots.
From analysis to transaction terms
The how enrollment and occupancy affect value workpaper should end with a decision, not merely documents. List each verified fact, the financial period it affects, and the precise adjustment or condition it supports. List every assumption separately. That boundary matters for child care occupancy valuation because a plausible future event does not belong in historical earnings.
Prepare a base case, supported improvement case, and downside using consistent definitions. Show revenue, direct labor, management cost, occupancy cost, capital needs, and resulting SDE or EBITDA. Apply the valuation framework only after those operating bridges are visible. A disagreement can then be identified as a source-record problem, a forecast difference, or a market-evidence judgment.
Translate unresolved paid FTE enrollment diligence matters into an issue log with an owner and deadline. Some call for more diligence; others belong in a closing condition, escrow, working-capital target, representation, indemnity, seller note, or earnout definition. Counsel and tax advisors should design the documents. The model should identify economic exposure without pretending to resolve legal rights.
Run a cold-file review. Someone who did not build the analysis should trace one revenue item, one labor item, one regulatory or facility item, and one adjustment to original evidence. Confirm consistent treatment of real estate, debt, cash, assumed liabilities, deposits, and receivables. Preserve the source version and retrieval date.
State the limits plainly. Marketplace observations are not an appraisal and do not guarantee a selling price. Agencies decide licensing matters; lenders apply their own underwriting; accountants address tax and reporting; attorneys advise on structure. The useful conclusion is a documented range whose dependencies both sides can understand.
Keep a final change log for daycare enrollment bridge. Record who changed each input, why it changed, which source authorized the revision, and how the indicated range moved. Lock the version used for an offer or listing recommendation. If new diligence changes the model later, issue a fresh dated version instead of silently overwriting the prior conclusion. This creates a clean negotiation record and prevents an old assumption from surviving after the underlying fact has changed.
Frequently asked questions
What occupancy rate should a child care buyer use?
Use licensed, configured, and staffed capacity separately, with paid FTE enrollment as the numerator. Each percentage reveals a different constraint and should be labeled.
Does a waitlist increase center value?
Only to the extent current, qualified families can convert into approved, staffed openings. Verify deposits, desired dates, age bands, contact recency, and historical conversion.
How much is an empty classroom worth?
It has no automatic value. Model renovation or approval needs, staff hiring, demand, enrollment timing, and incremental cash flow before attributing value.
Is headcount the same as enrollment FTE?
No. Children attending part-time schedules can make headcount materially higher than paid FTE. Define the normalization method and apply it consistently by month.
How should declining enrollment affect a multiple?
First correct maintainable earnings and build realistic scenarios. The selected factor may also reflect execution risk, but do not penalize the same issue twice without explaining the reconciliation.