Yahoo Finance Health Care REIT Quote Pages
Datadory delivers health care REITs data covering Yahoo Finance Health Care REIT Quote Pages: per-ticker quote pages for the roughly 15-25 listed US health care REITs - WELL, VTR, ARE, DOC, OHI, CTRE - carrying delayed prices, bid and ask, 52-week ranges, market caps, valuation ratios and daily OHLCV history. Delivered via API, files, or your warehouse.
What is the Yahoo Finance health care REIT quote pages dataset?
Datadory packages Yahoo Finance's per-ticker quote pages for the whole listed US health care REIT universe into one rectangular feed. Roughly 15-25 real estate investment trusts trade on the NYSE and Nasdaq with health care as the underlying asset - Welltower (WELL), Ventas (VTR), Alexandria Real Estate Equities (ARE), Healthpeak Properties (DOC), Omega Healthcare Investors (OHI) and CareTrust REIT (CTRE) chief among them - and each carries its own structured page of pricing, statistics, financial statements, holders and news. Everything on those pages parses: the quote header, the detail panel, the key-statistics strip, even the industry tag ('REIT - Healthcare Facilities') that turns sector membership into a field instead of a label you eyeball.
Get a sample of this dataset and inspect real records before committing pipeline time.
What does a sample row look like?
A quote snapshot reads as one flat row per ticker. Welltower, the sector's largest resident:
symbol WELL
regularMarketPrice 237.40
regularMarketPrevClose 235.73
regularMarketOpen 235.90
bid / ask 227.00 x 30000 / 237.80 x 10000
regularMarketDayRange 235.11 - 238.78
fiftyTwoWeekLowHigh 163.75 - 255.20
volume 2,683,400
averageVolume 3,123,456
marketCap 171064000000
beta 0.76
peRatio 105.04
epsTrailingTwelveMonths 2.26
forwardDividendAndYield 3.40 (1.43%)
industry REIT - Healthcare Facilities
classification Welltower Inc. Overview - REIT - Healthcare Facilities / Real EstateDaily history arrives as the classic seven-column bar table, here two sessions of WELL:
date open high low close adj_close volume
Aug 20, 2026 235.90 238.79 235.11 237.40 237.40 2,683,400
Aug 19, 2026 235.44 236.72 234.30 235.73 235.73 2,274,100Read the snapshot left to right and you have where the stock sits, what it costs to lean on either side of the book, how far it roamed today and over a year, what the market pays for its trailing earnings, and the distribution shareholders collect - all keyed by ticker, all numeric. adj_close is the modeler's column: it folds splits and dividend or capital-gain distributions back into the price series, which is non-optional housekeeping in a sector defined by its payouts.
What fields does the dataset include?
Twenty-six core fields carry each ticker's payload across the quote snapshot and the daily history table - identity, pricing, depth of book, valuation and income columns sitting side by side. Definitions below were captured and verified from live pages on 2026-08-21, and every example is a real value off the WELL record rather than a synthetic placeholder. The deeper subpage panels - enterprise-value multiples, profitability ratios, holder registers and statement line items - fold into your sample on request rather than cluttering the core dictionary.
What coverage does the dataset span across geography, time and granularity?
Geography - every US-listed health care REIT on the NYSE and Nasdaq: the complete 'REIT - Healthcare Facilities' industry set of roughly 15-25 constituents. The companies themselves run senior housing, medical office, laboratory and long-term-care portfolios across the United States, the United Kingdom and Canada, so company profiles carry cross-border property exposure even though every listing is American.
Temporal - three layers stacked per ticker: a current-session quote snapshot, daily OHLCV tables running roughly 100-250 sessions per pull with selectable ranges stretching to a ticker's full listing history, and financial statements spanning several annual and quarterly periods.
Granularity - per-ticker and per-day, with session-level quote fields (bid, ask, day range, market capitalization) captured alongside the daily bars so intraday color survives the aggregation.
How is the data delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Who uses this data, and for what?
- Quant screens and backtests - twenty-six numeric columns per ticker per day, uniform across constituents, drop straight into factor work: value tilts on trailing P/E, income tilts on distribution yield, momentum on adjusted closes. The quant backtesting workflow starts here.
- Peer-relative analysis - each page names its comparables (VTR, DOC, OHI and CTRE orbit WELL), and because every constituent reports identical fields on the same days, a senior-housing-versus-lab-space spread is a group-by rather than a mapping exercise.
- Price monitoring and alerting - track medical-office and senior-housing landlords against day ranges, 52-week bands and average volume; the price monitoring pattern runs on exactly these columns.
- Exposure and concentration reporting - market caps, betas and sector tags roll up into sector weightings for portfolio memos and market maps.
Which personas get the most value?
Investors and quant researchers lead the relevance scoring in Datadory's tagging research: this is the only equity-market feed among the eight primary health-care-reits datasets, and it prices the sector daily while every other source covers health-care delivery. Investor and quant workflows pair it with Nareit benchmarks.
Data scientists and ML engineers get a clean, rectangular panel - one row per ticker per day, typed columns, no unit soup - which is rarer than it sounds in market data; see data scientist workflows.
Journalists, academics and students cite named tickers with concrete numbers - a market cap, a 52-week band, a trailing P/E - without negotiating a data agreement first; journalist and academic workflows cover attribution practice.
Which notes pair with this dataset?
Notes that pair well with this page:
- Health care reits data hub - the pooled industry view this record sits inside, alongside the delivery-side sources that measure tenants and utilization.
- Best health care reits datasets - the ranked alternatives when a project needs sector index returns or operating fundamentals rather than per-ticker market data.
- The Yahoo Finance source profile - who publishes these pages, what they contain and what they leave out.
- FFO - funds from operations, the REIT-specific earnings measure these quote pages do not compute for you; bring the statements, apply the definition.
- REIT dividend yield - the income half of a health care REIT's total return, and the companion to the adjusted-close column.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| field | type | definition | example |
|---|---|---|---|
symbol | string | Ticker symbol of the REIT. | WELL |
regularMarketPrice | number | Last traded price in the quote snapshot. | 237.40 |
regularMarketPreviousClose | number | Prior session closing price. | 235.73 |
regularMarketOpen | number | Session opening price. | 235.90 |
bid | string | Best bid expressed as price x size. | 227.00 x 30000 |
ask | string | Best ask expressed as price x size. | 237.80 x 10000 |
regularMarketDayRange | string | Intraday low-to-high trading range. | 235.11 - 238.78 |
fiftyTwoWeekLowHigh | string | Fifty-two-week trading range. | 163.75 - 255.20 |
volume | integer | Shares traded in the session. | 2683400 |
averageVolume | integer | Average daily share volume. | 3123456 |
marketCap | number | Market capitalization computed on the current price. | 171064000000 |
beta | number | Five-year monthly beta versus the market. | 0.76 |
peRatio | number | Trailing twelve-month price-to-earnings ratio. | 105.04 |
epsTrailingTwelveMonths | number | Trailing twelve-month earnings per share. | 2.26 |
forwardDividendAndYield | string | Forward annual distribution in dollars with its yield. | 3.40 (1.43%) |
exDividendDate | date | Most recent or next ex-dividend date. | |
oneYearTargetEst | number | Analyst consensus one-year price target. | 255.50 |
industry | string | Industry classification; health care REITs appear as 'REIT - Healthcare Facilities'. | REIT - Healthcare Facilities |
sector | string | Sector classification of the issuer. | Real Estate |
date | date | Trading date in the historical OHLCV table. | Aug 20, 2026 |
open | number | Session open price in the historical table. | 235.90 |
high | number | Session high price. | 238.79 |
low | number | Session low price. | 235.11 |
close | number | Closing price adjusted for splits. | 237.40 |
adjClose | number | Closing price adjusted for splits and dividend or capital-gain distributions. | 237.40 |
hist_volume | integer | Session volume in the historical table. | 2683400 |
Questions buyers ask
Which health care REIT tickers does the dataset cover?
The full US-listed health care REIT set - roughly 15-25 constituents tagged 'REIT - Healthcare Facilities', anchored by Welltower (WELL), Ventas (VTR), Alexandria Real Estate Equities (ARE), Healthpeak Properties (DOC), Omega Healthcare Investors (OHI) and CareTrust REIT (CTRE). Every constituent ships the same field dictionary, so the panel stays rectangular however the roster shifts.
How much price history comes with each ticker?
Daily bars run roughly 100-250 sessions per standard pull, with selectable ranges extending to a ticker's full listing history. Weekly and monthly compressions and a distributions-only view are supported, and financial statements layer several annual and quarterly periods on top of the price series.
Does the dataset handle REIT distributions correctly?
Yes. The history table carries both a raw close and an adjusted close that folds splits and dividend or capital-gain distributions into the series. Quote fields add the forward annualized distribution with its yield and the ex-distribution date, so income modeling proceeds without a second source.
How is this different from Nareit sector data?
Nareit publishes sector-level index returns and constituent rosters; this dataset operates one level down, at per-ticker resolution - prices, ranges, volumes, valuation multiples and statements for each named REIT. Analysts typically pair them: Nareit for the benchmark, these records for the names inside it.
What joins does the data support?
Ticker symbol is the universal key: it connects to filing identifiers elsewhere in the catalog, to property-level datasets through company mappings, and to the peer sets each page names explicitly. Industry and sector classifications arrive as fields too, so separating senior housing from lab space takes no external lookup.
See the rows before you pay anything.
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