Hotel & Resort REITs Data: Filings Facts, Price History and Travel Demand · Head-to-head
SEC EDGAR Company Filing Search vs BEA Travel and Tourism Satellite Account
Which hotel & resort reits data: filings facts, price history and travel demand data fits your job: SEC EDGAR Company Filing Search, or BEA Travel and Tourism Satellite Account. API, files, or your warehouse. Daily, weekly, or hourly.
SEC EDGAR Company Filing Search
BEA Travel and Tourism Satellite Account
Where the fields line up
No shared field names. These two answer different questions.
| Field | SEC EDGAR Company Filing Search | BEA Travel and Tourism Satellite Account |
|---|---|---|
accessionNumber | documented | not in this set |
form | documented | not in this set |
filingDate | documented | not in this set |
cik | documented | not in this set |
display_names | documented | not in this set |
file_type | documented | not in this set |
period_ending | documented | not in this set |
sicDescription | documented | not in this set |
RevPAR (in filing text) | documented | not in this set |
Commodity | not in this set | Tourism commodity line item - 'Traveler accommodations', 'Food services and drinking places', 'Air transportation', 'Automotive equipment rental and leasing' and the other travel-related categories that form the account's spine. |
Traveler accommodations | not in this set | Value of traveler accommodation pipeline/mp1/demand in millions of dollars - nominal unless the table is a chained-dollar view. The lodging-specific line used to size hotel-sector tourism activity directly. |
Direct tourism output | not in this set | Output of an industry directly attributable to tourism demand, in millions of dollars. |
Coverage, side by side
| SEC EDGAR Company Filing Search | BEA Travel and Tourism Satellite Account | |
|---|---|---|
| Geographic | None - scope is the filer itself, wherever its properties stand | None - every figure is a United States national total |
What each contains
Pick by fit, not by loyalty.
| SEC EDGAR Company Filing Search | BEA Travel and Tourism Satellite Account | |
|---|---|---|
| Record identity | `cik` (1070750 for Host Hotels & Resorts) plus `accessionNumber` (0001070750-26-000054) and `display_names` | `Commodity` line - 'Traveler accommodations' beside 'Food services and drinking places', 'Air transportation services', 'Gambling' |
| Lodging quantity | `RevPAR (in filing text)` - revenue per available room as disclosed in MD&A prose and exhibits, retrieved by full-text query | `Traveler accommodations` - accommodation output and demand in millions of dollars, a standing commodity line in all eight tables |
| Period stamp | `filingDate` (when the document entered the archive) plus `period_ending` (balance-sheet date) | Reference year carried by the annual workbook and its eight tables - one year per workbook, 1998 through 2023 |
| Human-readable label | `display_names` ('DiamondRock Hospitality Co (DRH, DRH-PA) (CIK 0001298946)') and `sicDescription` ('Real Estate Investment Trusts') | `Commodity` labels naming the tourism good being measured |
| Qualifying dimension | `form` - 10-K, 10-Q, 8-K, DEF 14A, S-11, 4, SCHEDULE 13G/A - plus `file_type` exhibit codes (EX-10.15, EX-99.1) | `Visitor type split` - resident households, business, government, nonresidents |
| Where the value lives | Inside documents - figures sit in prose and exhibits; the match record carries `adsh` (0001298946-25-000015) pointing at the source filing | In the cells - `Direct tourism output`, `Total tourism-related output`, `Tourism employment`, `Tourism compensation` read directly off the tables |
| Geographic key | None - scope is the filer itself, wherever its properties stand | None - every figure is a United States national total |
| Only on one side | `file_type`, `period_ending` and per-concept tagged facts at fiscal-period level where XBRL applies | `Chain-type price index`, `Real output (millions of chained 2017 dollars)`, direct-versus-multiplier employment effects |
What each does better
SEC EDGAR Company Filing Search
Entity-grade resolution with an audit trail. The CIK survives everything a marketing department does to a brand - tickers change, names rebrand, the key holds - and every figure traces back to an accession number a reviewer can check. The full US-listed lodging REIT panel is in scope by default: Host Hotels & Resorts (HST), Ryman Hospitality (RHP), Park Hotels (PK), Sunstone (SHO), Apple Hospitality (APLE), Summit (INN), RLJ, Xenia (XHR) and peers.
Metrics at disclosure grain. RevPAR, ADR, occupancy, hotel counts and segment EBITDA are printed inside MD&A prose and exhibits; full-text matching over 10-K text turned up 106 RevPAR disclosures in the twenty months to August 2026 alone. Once the text is rows, the comparative jobs become diffs: risk-factor drift between consecutive annual reports, ownership shifts across Schedule 13G/A amendments, insider selling patterns in Form 4 records.
An event stream, filtered not read. Because every form type arrives as a distinct, typed record, between-quarters monitoring is a filter away: 8-K earnings releases for surprise moves, S-11 shelf registrations ahead of acquisitions, DEF 14A proxies for governance and pay research.
Depth of time. Filings reach back to the mid-1990s launch of electronic filing, keyword-level matching reaches to 2001, and each issuer's latest 1,000 submissions sit in the recent-filings view with older history behind paged indexes and bulk archives - tens of millions of documents across the registry, roughly twenty to sixty new filings per active lodging REIT per year.
the BEA Travel and Tourism Satellite Account
Lodging as a first-class commodity. Hotels' share of total US tourism output is read straight off the table rather than proxied from a revenue-mix assumption - the only official series where traveler accommodations gets its own line beside food services, air transport, auto rental, gambling and recreation.
The visitor mix attached. Table 3 splits total tourism demand four ways - resident households, business, government, nonresidents - so a hotel analyst sees not just how large lodging's tourism draw was but who was doing the drawing: inputs for group-versus-transient theses and international-exposure work.
Labor exposure, counted. Tourism-attributable employment in thousands of workers and compensation in millions of dollars, by industry, with direct and multiplier effects distinguished - the accommodations line included.
A benchmark that cannot move. Production ended after the February 2026 discontinuation notice, so the 1998-2023 archive is closed: the final vintage covers 2018-2023 and every vintage anyone pulls tomorrow is the one you tested against today. For backtests and citation-grade macro framing, that immutability is a feature no forward-updating series can offer. See market sizing and quant backtesting for where this earns its keep.
Where they're equivalent
More than their shapes suggest. Both field dictionaries were verified during research - nine documented fields each, every definition grounded in the material rather than guessed - which puts both inside the minority of the catalog that clears that bar. Both originate with federal statistical institutions whose standing survives any individual argument with a given number: the Securities and Exchange Commission behind the filing record, the Bureau of Economic Analysis behind the satellite account.
Both are strictly American in scope, and both describe the same underlying business - people paying to sleep somewhere - from opposite directions.
Both are also honest about their edges. The filing record's keyword matching begins at 2001 even where documents reach further back; the satellite account stops at 2023 and will not extend. And neither carries a property-level row anywhere: the filing record aggregates at the filer-and-document level, the satellite account at the nation level, so no single hotel appears in either. Both reward the same working method - read the field dictionary first, confirm the grain, then decide what the record can actually support.
The verdict
Verdict: sample both, pick by fit - they are different instruments pointed at the same industry, and neither substitutes for the other.
Take SEC EDGAR Company Filing Search when your question names a company, a filing or an event: anchoring a REIT model on audited financials and property tables, capturing RevPAR and occupancy disclosures across the panel, monitoring 8-K-driven moves between quarters, tracking institutional stakes and insider sales, or diffing risk factors across consecutive annual reports. Investors and quants live here, and so does anyone who needs a number traceable to the document that disclosed it.
Take BEA Travel and Tourism Satellite Account when your question names the market: sizing US lodging's share of tourism output, segmenting demand by who was traveling, deflating nominal trends into real volume, quantifying employment and wage exposure to travel shocks, or fixing a backtest to a benchmark that will never be restated. Market researchers start here; strategists usually want the demand frame from this side before touching any company-level record.
If the question names both - a desk underwriting lodging positions against the demand cycle while tracking each issuer's disclosed performance inside it - that is not indecision. It is the pairing working.
Sample both, pick by fit. See SEC EDGAR Company Filing Search · See BEA Travel and Tourism Satellite Account
Or take both in one feed
Yes - as demand frame over disclosure micro, stacked rather than merged. A defensible workflow: let the satellite account set the setting - how many tourism dollars reached traveler accommodations nationally, split by resident households, business, government and nonresident visitors, in nominal and chained-2017-dollar terms - then bring in the filing record wherever the work turns to companies: which REITs captured that demand, at what disclosed RevPAR and occupancy, flagged by which risk factors and followed by which insider and institutional moves.
Be honest about the seam: there is no shared key. CIKs never meet commodity lines, and no join on a pretended common column will hold. Align them narratively instead - map satellite-account reference years onto issuers' fiscal periods, reconcile the unit systems (millions of national-accounts dollars against company-disclosed operating metrics), and remember the geography gap cuts the same way twice: entity-scoped on one side, nation-scoped on the other.
Worked example: take the 2018-2023 final vintage to establish the real (chained-dollar) path of accommodation demand and the visitor mix behind it, then test each lodging REIT's disclosed RevPAR trajectory over the same window against that path - separating managements who rode the market from managements who beat it. Or reverse the direction: let the 10-K risk-factor corpus tell you which exposures issuers themselves flag, then use the visitor split to weigh how much of the panel's demand base each exposure actually touches.
Browse the rest of the shelf at the hotel & resort REITs data hub, or see how these two rank against the field at best hotel & resort REITs datasets.
Datadory ships either record alone or both aligned on one calendar, delivered daily, weekly, or hourly - your call. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Is SEC EDGAR Company Filing Search better than the BEA Travel and Tourism Satellite Account?
Different layers of the same industry, scored 10 and 8. The filing record wins whenever the question needs a company, a document or an event - audited financials tied to an accession number, RevPAR and occupancy disclosures pulled out of MD&A prose, insider Form 4 activity, proxy governance, risk-factor drift. The satellite account wins whenever the question needs a market-sized answer already totaled - lodging's share of US tourism output, demand split by resident households, business, government and nonresidents, real output deflated to chained 2017 dollars. Disclosure favors EDGAR; demand economics favor the satellite account.
Which dataset covers more geography?
Neither, in the ordinary sense - they cover different things entirely. The filing record's scope is the issuer registry: every SEC-registered lodging REIT is in it, wherever its hotels stand, but there is no state or metro breakdown on the record itself. The satellite account covers the United States as a single national total, with no state, metro or property detail anywhere in the account. If geography means 'which companies', take the filing record; if it means 'which places', neither resolves below the national line.
Which dataset goes further back in time?
The filing record, and it keeps going. Documents reach back to the mid-1990s launch of electronic filing, keyword-level matching reaches to 2001, and new filings thicken the record every season. The satellite account runs 1998 through 2023 in annual workbooks, with companion articles extending narrative estimates to 1992 - but production ended after the February 2026 discontinuation notice, so its edge is fixed at 2023 forever. One record grows; the other is finished.
Do the two datasets report the same lodging number?
No, and conflating them distorts models. RevPAR in a 10-K is one company's revenue per available room, disclosed in its own definitions and presentation. Traveler accommodations in the satellite account is the national-accounts value of US accommodation output and demand in millions of dollars, constructed from the input-output framework. A firm-level operating metric against a whole-economy demand aggregate: different numerators, different denominators, and only loosely related even in direction.
Can Datadory deliver both datasets together?
Yes. Either record arrives alone or both land aligned on one calendar, delivered daily, weekly, or hourly - your call. Name the issuers, form types, metric keywords or reference years when you request the sample and it arrives pre-cut, with field definitions and coverage profiles attached. Or take both in one feed.