Financial health score

One number for how your hotel's finances are actually doing.

Avenlyr scores five categories from your own revenue, expense, bill and cash records — and tells you how much of the score is backed by real data instead of guesswork. Below is an illustrative report so you can see exactly what you get.

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Illustrative sample. These figures are made up to show the report layout. They are not any hotel's real data.

61out of 100

Needs Attention

Experimental indicator · Model v0.1

Data coverage: 90%
Confidence: High
Automated checks: 16

6 pass6 attention2 at risk2 not assessed

Experimental Financial Health Indicator. Decision support only — not a credit score, audit, valuation, or accounting, tax, legal, lending or investment advice, and not a guarantee of future performance. Scoring Model v0.1 — pending hotel-finance validation.

Key metrics from your data

Current cash: $412,000
Lowest expected cash (13 wks): $214,000
Cash safety level: $250,000
Revenue (period): $401,884
Total expenses (period): $220,329
Operating profit (period): $181,555
Payroll expense (period): $122,064
Occupancy: 71.7%
RevPAR: $140
ADR: $195
Data freshness: 27 days old

Top financial risks

Ranked by severity, time urgency, estimated impact and data confidence.

1.Lowest expected cash balance
High$36,000
Measured: $214,000Baseline / target: 1.25× safety levelProperty: Harborview Inn (sample)Period: 2026-08-04 → 2026-08-31Confidence: MediumEvidence: min(weekly expected balance) ÷ cash safety level — source: Cash Survival 13-week forecast (cash_balances, daily_performance, expenses, payables)
Next step: Open Cash Survival, review the bills landing in the breach week and test a scenario before moving any payment.
2.Weekly cash trend
High$176,000
Measured: -42.7%Baseline / target: Flat or improvingProperty: Harborview Inn (sample)Period: 2026-08-04 → 2026-08-31Confidence: MediumEvidence: (week 13 expected balance − current cash) ÷ current cash — source: Cash Survival 13-week forecast (cash_balances, daily_performance, expenses, payables)
Next step: Review the largest weekly outflows in Cash Survival and confirm expected receipts are realistic.
3.Total revenue trend
Medium$30,492
Measured: $401,884Baseline / target: $432,376Property: Harborview Inn (sample)Period: 2026-08-04 → 2026-08-31Confidence: MediumEvidence: (previous period revenue − current period revenue) ÷ previous period revenue — source: daily_performance.total_revenue
Next step: Check rate and channel mix for the period, then confirm the source records are complete.
4.RevPAR vs baseline
Medium$24,992
Measured: $140Baseline / target: $151Property: Harborview Inn (sample)Period: 2026-08-04 → 2026-08-31Confidence: MediumEvidence: RevPAR = room revenue ÷ available room nights — source: daily_performance.room_revenue, rooms_available (or property room count)
Next step: Check rate and channel mix for the period, then confirm the source records are complete.
5.Expense growth vs revenue growth
Medium$13,360
Measured: +6.0 ptsBaseline / target: Under 5 ptsProperty: Harborview Inn (sample)Period: 2026-08-04 → 2026-08-31Confidence: MediumEvidence: expense growth % − revenue growth % (period vs previous period of equal length) — source: expenses.amount, daily_performance.total_revenue
Next step: Compare the categories that grew fastest against the revenue they support.

Scoring matrix and data sources

Every check, its formula, its source and whether it could be assessed. Model v0.1.

Check	Formula	Source	Baseline	Measured	Result	Points
13-week cash safety	Weekly cash roll-forward: opening + expected receipts − expected payments; compared with your cash safety level	Cash Survival 13-week forecast (cash_balances, daily_performance, expenses, payables)	Your selected cash safety level ($250,000)	First expected breach: Week of November 9	Attention	6 / 12
Lowest expected cash balance	min(weekly expected balance) ÷ cash safety level	Cash Survival 13-week forecast (cash_balances, daily_performance, expenses, payables)	Your selected cash safety level	$214,000	At Risk	0 / 8
Operating-outflow coverage (runway)	current cash ÷ average weekly net outflow (weeks)	Cash Survival 13-week forecast (cash_balances, daily_performance, expenses, payables)	13 weeks of coverage	9.4 weeks	Attention	3 / 6
Weekly cash trend	(week 13 expected balance − current cash) ÷ current cash	Cash Survival 13-week forecast (cash_balances, daily_performance, expenses, payables)	Today's cash position	-42.7%	At Risk	0 / 4
Operating profit margin	(total revenue − total operating expenses) ÷ total revenue, over the reporting period	daily_performance.total_revenue, expenses.amount	Recent historical baseline (15% target margin, Model v0.1)	45.2%	Pass	10 / 10
Expense growth vs revenue growth	expense growth % − revenue growth % (period vs previous period of equal length)	expenses.amount, daily_performance.total_revenue	Previous 28-day period	+6.0 pts	Attention	4 / 8
Payroll share of revenue	payroll expense ÷ total revenue, compared with the previous period	expenses where is_payroll = true, daily_performance.total_revenue	Previous 28-day period	30.4%	Pass	7 / 7
RevPAR vs baseline	RevPAR = room revenue ÷ available room nights	daily_performance.room_revenue, rooms_available (or property room count)	Previous 28-day period	$140	Attention	4 / 8
Occupancy vs baseline	Occupancy = occupied room nights ÷ available room nights	daily_performance.rooms_sold, rooms_available (or property room count)	Previous 28-day period	71.7%	Attention	3 / 6
Total revenue trend	(previous period revenue − current period revenue) ÷ previous period revenue	daily_performance.total_revenue	Previous 28-day period	$401,884	Attention	3 / 6
Actual results vs approved budget Missing: An approved budget for the period	—	No approved budget or saved earlier forecast is stored for this property	Approved budget / previously saved forecast	—	Not Assessed	0 / 6
Forecast accuracy vs later actuals Missing: An earlier saved forecast plus later actual results	—	No approved budget or saved earlier forecast is stored for this property	Approved budget / previously saved forecast	—	Not Assessed	0 / 4
Upcoming obligations documented	count of open payables with a confirmed due date in the next 28 days	payables.due_date, payables.status	Next 28 days of known payments	1 of 3 open bills due soon	Pass	5 / 5
Data freshness	days between today and the newest imported record	daily_performance.business_date, expenses.expense_date	100000 days (configurable)	27 days old	Pass	4 / 4
Missing periods	(expected days − days with revenue records) ÷ expected days	daily_performance.business_date	28-day reporting period	28 of 28 days present	Pass	3 / 3
Duplicate and invalid records	count of duplicated business dates + records with negative or non-numeric values	daily_performance, expenses	Zero duplicates or invalid values	0 duplicate date(s), 0 invalid record(s)	Pass	3 / 3

How confidence was decided

Data coverage 90% of the scoring model
Data is current (27 days old)
120 days of revenue history
No duplicate or invalid records
No missing days in the reporting period
All sources are manual or file imports (no verified live connection)

Confidence follows written rules, not judgement. A high score with low confidence should not be treated as reassurance.

One number for how your hotel's finances are actually doing.

Needs Attention

Categories

Key metrics from your data

Top financial risks

1.Lowest expected cash balance

2.Weekly cash trend

3.Total revenue trend

4.RevPAR vs baseline

5.Expense growth vs revenue growth

Scoring matrix and data sources

How confidence was decided