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Methodology: Casino Operating Metrics

What these figures are

The Operating Metrics card on a casino or gaming operator’s stock page shows the operating statistics the company reports in its own quarterly earnings release — the SEC Form 8-K exhibit filed alongside the results. These are the numbers gaming companies use to describe how much players wagered, how much the house kept, and how full and profitable the properties were. Oxford Ledge reads them directly from the as-filed exhibit and normalizes the labels so you can compare an operator to itself over time.

They are an Oxford Ledge Signal: our reading of a public filing, not a re-audit of the company’s books and not a licensed data-vendor feed. Every value on the card carries its filing as-of date and links back to the SEC source.

The metrics, in plain English

MetricWhat it measures
Net revenues & casino revenueTotal company revenue (including hotel, food, entertainment), and the gaming-only portion — gross gaming revenue, the money kept from wagering.
Table drop & winThe value of chips players bought (drop), and what the house kept of it (win). Their ratio is the table hold.
Table hold %Table win divided by drop — the take rate on table play. Genuinely random over a quarter; a big beat or miss is often “just hold.”
Slot handle, win & hold %The total wagered in slots (handle), what the house kept (win), and the ratio (hold). Slot hold is stable and predictable, so handle is the clean demand signal.
Hold-normalized GGRGaming revenue re-priced to the theoretical hold — stripping out luck to reveal the underlying volume trend.

Why every value shows a scope and a basis

A casino operator prints these metrics for the company and for individual properties, and on different denominators, and mixing them buries the real number. So the card labels it:

These labels are the honesty contract of the card: the same word can mean different things, and a reader deserves to know which one they are looking at.

Why the peer table leaves cells blank

On the industry peer table, each column pins one basis — table hold on the win/drop basis, slot hold on the win/handle basis, hold-normalized GGR on the theoretical hold. An operator is shown in a column only if it reports the metric on that basis; one that computes a hold on a different denominator leaves an honest blank there, never a value pooled in from a different basis. A blank is a coverage gap, and the column footnotes how many operators it covers.

How we read and normalize it

For each operator we fetch the most recent quarterly earnings 8-K exhibit from SEC EDGAR, locate the operating table, and read each value verbatim from the reported column — never a prior-year or year-to-date column standing in for the quarter. We bind scope (company total vs a property) from the table’s labels, and record each hold percentage’s denominator (drop vs handle) and the GGR index’s normalization basis alongside it. Because table hold is so luck-driven, we present the volume metrics (drop, handle) as the steadier read on demand.

The reading is checked against a hand-verified golden set for each operator before any figure is allowed to publish; a value whose scope or basis the extractor cannot confidently determine is withheld rather than shown.

What we deliberately do not do

Freshness

The stock page is cached at the edge, so a brand-new filing’s figures can lag up to a day on the cached page. Each value is stamped with the filing it came from, so the as-of date always tells you exactly how current the number is.