Fifty brands.
Nine pillars.
Every score shows its evidence.

There is no official global cruise-line count. CLIA lists ~60 member operators; adding non-CLIA regional and single-ship operators pushes the total to 120–150 depending on where “cruise line” is drawn. We publish 50 scored brands selected for strategic commercial relevance across major ocean, expedition, river, and regional operators. Because the public record does not provide a consistent, audited global passenger-capacity denominator across those segments, this edition does not claim a precise share of worldwide capacity.

Below that cutline sit boutique river, coastal, sail, and day-cruise micro-operators that would score UNKNOWN in nearly every pillar — publishing them as scored would be fabricated authority. We call this the governed universe: a fixed, versioned registry of brands that enters and exits only by published rule, never ad hoc.

Across industries, the link between guest experience and enterprise value is one of the better-evidenced findings in marketing science. In cruise, it has never been measured. That is not a hedge. It is the specific, documented gap this index exists to close — and it is why there is no correlation coefficient in this section.

What the cross-industry evidence establishes

Three decades of work on the American Customer Satisfaction Index (ACSI) has tested the satisfaction-to-shareholder-value relationship on large panels of public firms.

• Anderson, Fornell & Mazvancheryl (2004), Journal of Marketing 68(4), 172–185 — the foundational test. Satisfaction is positively associated with firm market value measured as Tobin’s q. The authors’ own caveat travels with the finding and belongs in any honest citation of it: there is “significant variation in the association across industries and firms.” Real in aggregate, uneven in the particular.
• Fornell, Mithas, Morgeson & Krishnan (2006), “Customer Satisfaction and Stock Prices: High Returns, Low Risk,” Journal of Marketing — the widely-cited magnitude: a 1% change in ACSI is associated with roughly a 4.6% change in market value.
• ACSI Methodology Report (filed at reginfo.gov) — the same effect as a level rather than a rate: a five-unit ACSI gain corresponds to an average ~15% increase in market value, controlling for book values.
• Total Quality Management & Business Excellence (2005), DOI 10.1080/14783360500077674 — 99 ACSI firms, 1994–2002. Two findings that matter more to an excellence index than the headline effect does: the value response lags satisfaction by about three quarters, and there is an optimal satisfaction level beyond which further gains destroy value. Satisfaction bought with margin is not excellence.
• Counterpoint, cited deliberately: O’Sullivan & Hyde (UCC Centre for Investment Research) replicate the high-ACSI trading strategy and find it does not reliably beat the market once risk adjustment is done carefully. The link to stock returns specifically is contested even in the general literature. We cite the contest rather than the consensus we would prefer.

The load-bearing claim from this body of work is narrow and defensible: experience quality is an economically material asset, it capitalizes with a lag, and it has a ceiling. Not: high scores make the stock go up.

Why none of that evidence includes a cruise line

ACSI publishes an annual Travel Study. Its coverage is five travel industries — airlines, car rentals, lodging, online travel agencies, and rideshare, stated in those terms in both the 2025 and 2026 study releases. Cruise is not among them, and never has been.

So the canonical satisfaction-to-enterprise-value evidence base contains zero cruise observations. Every number above was estimated on industries whose economics differ from cruise in the ways that matter most here: cruise sells a multi-day bundled experience at high ticket price, low purchase frequency and long consideration cycles, against a fixed and capital-intensive asset base with a newbuild cycle measured in years. Whether the ACSI coefficients transfer to that structure is an open empirical question, not a settled one.

This is the standing argument for a cruise-specific index. The mechanism is established; the measurement in this industry does not exist.

What cruise-specific research does exist

Thinner, but real, and it points the same direction.

• Demydyuk & Carlbäck (2024), “Cruise Control: Steering Through the Waves of Customer Satisfaction Across Cruise Market Segments,” Gastronomy and Tourism 8(3), 153–169. Across segments, the lines with the highest dining, value and satisfaction ratings also show the highest per-passenger spend and superior financial performance. Correlational and review-derived — not a causal test, and presented as neither.
• Li & Kwortnik (2017), “Categorizing Cruise Lines by Passenger Perceived Experience,” Journal of Travel Research 56(7), 941–956 — a perceived-experience taxonomy built on the J.D. Power 2013 Cruise Line Satisfaction Study (n=3,003). Direct methodological ancestor of the segmentation used here.
• Kwortnik (2008), “Shipscape Influence on the Leisure Cruise Experience,” International Journal of Culture, Tourism and Hospitality Research 2(4), 289–311 — the servicescape mechanism by which onboard environment converts into satisfaction and intent.

What we will not claim, and why

Of the 50 brands scored here, 17 sit under six publicly-traded parents (19 counting the two TUI joint-venture brands). Disney Cruise Line has to be dropped from any financial comparison: its results are not separable from a $94B multi-segment parent, so including it would attribute streaming and theme-park performance to a cruise-excellence score. That leaves n=5 — Carnival Corp, Royal Caribbean Group, NCLH, Viking Holdings and Lindblad.

At n=5 (3 degrees of freedom), only a near-perfect correlation (r > ~0.87) would cross p<0.05, and a single company substitution or a different quarter’s pull would flip the sign. Detecting a moderate effect (r≈0.3) at 80% power needs roughly n≈30. Any coefficient published from five points would describe which five operators happen to be listed, not the industry.

The five points also do not line up cleanly. Royal Caribbean carries the best margins in the set (27.4% operating, 39.1% adjusted EBITDA, FY2025) alongside a strong three-year total return, consistent with a quality-pays reading. But Viking and Lindblad — the two smallest and least diversified — posted the best three-year returns of the group while Lindblad ran a net loss, and NCLH posted EBITDA margins comparable to Viking’s with the weakest return in the set. Balance-sheet leverage, IPO recency, newbuild capex timing and post-2020 sector sentiment are each confounds at least as large as anything an excellence score would capture.

There is also a level mismatch. This index scores brands; those financials exist only at parent level, and 14 of those 17 brand rows sit inside multi-brand conglomerates whose divergent commercial performance is aggregated into one income statement.

So: no correlation, no regression, no p-value, and no “CEI predicts enterprise value” in this report. One descriptive observation is defensible and is offered as exactly that — Royal Caribbean scores well here and is the strongest-margin operator in the public set. n=1, illustrative, not generalizable.

How this question gets answered properly

The right dependent variable is not enterprise value. It is independently-measured guest satisfaction at the brand level.

All 50 scored brands have review-platform and satisfaction-survey presence; only six parent companies have a ticker. Validating this index against brand-level satisfaction data is an n≈50 test rather than an n=5 one, it sidesteps the parent-company confound entirely, and it answers the question a commercial leader actually needs answered: does this score track what guests independently report?

Establish that link first. The financial link then follows from the published cross-industry literature — with cruise-specific evidence behind it, and the three-quarter lag and the satisfaction ceiling both accounted for — rather than being asserted from five data points. That sequence is the honest path from “we think this matters commercially” to “we have shown it does.”

Financial figures are FY2025, sourced from each company’s earnings release, annual report or SEC filing. Stock returns are trailing total returns as of 2 September 2026 (dividends reinvested, benchmarked to the S&P 500’s +69.7% three-year window). It is context for the n=5 argument above, not an input to any score. Per-company detail and the full source list are available in the operator packet on request.

Why a satisfaction score is not an asset

Most cruise measurement answers the question how did the last voyage go? Guest equity asks a different one: what is the accumulated value of a line’s guest relationships, and is it appreciating or decaying?

The distinction is not semantic. Satisfaction is a reading taken at a moment. Guest equity is a balance-sheet concept — a stock, not a flow. A line can post strong post-cruise scores while its most valuable relationships quietly stop rebooking, and the satisfaction instrument will not see it, because the guests who left are no longer in the sample. A line can equally carry a modest average score and a very healthy book of repeat relationships.

This matters commercially because the two point at different actions. A satisfaction gap says fix the dining room. A guest-equity gap says the guests worth the most to you are getting the least recognition, which is a resource-allocation question at the level a commercial leader actually controls.

The published research supports treating it this way. The satisfaction-to-value literature finds the value response lags satisfaction by roughly three quarters and has an optimal level beyond which further satisfaction spending destroys value. Both findings are unintelligible if satisfaction is the asset. They make sense if satisfaction is one input to an asset that accrues and depreciates on its own schedule. Full evidence base: the financial-performance section.

What this index can see, and what it cannot

Guest equity is properly measured per guest, from a line’s own booking and CRM history. That data is confidential to each operator. No outside party — this index included — can compute a real guest-equity figure for fifty competing brands, and any published number claiming to would be fabricated.

So this report does not publish a guest-equity score. What it can observe from public evidence is narrower and still useful: whether a brand is structurally built to recognize a returning guest. Recognition infrastructure is not guest equity. It is the institutional machinery that either compounds it or lets it decay — and unlike guest equity itself, it is visible from outside.

The four observable signals

Each is checked on the brand’s own published material, cited by URL under the same evidence discipline as every other field in this index, and recorded as present, absent, or — where a brand publishes nothing checkable — no_evidence.

Coverage is uneven by design and disclosed as such. These signals are checkable for the major consumer-facing operators; several regional, river and expedition brands publish none of them in verifiable form. Those rows read no_evidence. No row receives a default, median, or imputed value — an unmeasured field carrying a number is the failure mode this index audits for, and a blank that says “we could not verify this” is worth more to a commercial leader than a filled cell that cannot be traced to a source.

Why this is an overlay, not a scored pillar

• The existing CRM & loyalty pillar (9% weight) already scores loyalty mechanics. Scoring it again as its own pillar would double-count it and dilute the composite rather than add information.
• A scored pillar requires counted, reproducible evidence across the full universe. Nothing publicly available clears that bar for guest equity as the concept is properly defined. Scoring it anyway would put a number where the evidence supports a description.
• An overlay can be honest about partial coverage. A pillar cannot — every brand needs a score, which forces imputation on exactly the rows where the evidence is thinnest.

The claim this section makes

Which brands are structurally built to recognize returning guests, on public evidence, brand by brand, with citations and disclosed gaps. Not: what any brand’s guest equity is.

That figure exists only inside each operator’s own data, and computing it is a different exercise from publishing an index — one that requires the operator’s participation, its CRM, and a confidentiality boundary this public report does not have and should not claim. Stated plainly because it is the more useful of the two claims to be able to defend.

The signals above are described in this edition and not yet scored per brand. Scoring them across the roster is the next edition’s work.