Office REITs · Seeking Alpha

Seeking Alpha — Office REIT Symbol Pages

Datadory delivers seeking alpha office reit symbol pages data covering the listed office universe through one repeating record: live quote and identity fields, FFO-normalized actuals beside consensus, 90-day revision tallies, announcement dates and a dated analysis stream across roughly 17 rated tickers - delivered API, files, or your warehouse. Daily, weekly, or hourly.

API, files, or your warehouse. Daily, weekly, or hourly.

Where it covers
Global symbol-page catalog with deep US listings; the office REITs industry group holds roughly 17 quant-rated tickers led by BXP, VNO and SLG, with the wider non-rated office roster confirmable at sample time
How far back
Quotes carry trade-time stamps to the session; estimates, revision tallies and articles arrive as timestamped point-in-time observations built to accumulate into series; the earnings layer runs at reported-quarter cadence
How fine
One record per ticker; quarterly inside the earnings card; one row per analysis article or news item in the editorial stream

What is the Seeking Alpha — Office REIT Symbol Pages dataset?

It is the per-ticker research record for the listed office REIT universe - one page per symbol, verified end to end on BXP during the August 21, 2026 pass. Each page stacks four layers onto a single screen: a live quote block with price, change, exchange and pre/post-market state; a key-data list holding labeled slots for EPS, PE, Div Rate, Yield, Short Interest, Market Cap and Volume; fourteen sub-sections spanning analysis, news, overview, historical prices, earnings, dividends, income statement, balance sheet, cash flow, growth, profitability, risk, charting and options; and the editorial stream itself - ten recent analysis articles and twelve news items per ticker with authors, timestamps and access tiers.

What separates this record from a plain quote page is the earnings layer. Office REITs report funds from operations, and the earnings surface treats FFO as first-class: BXP's latest quarter shows FFO Normalized Actual of $1.78, a beat by $0.08, sitting beside GAAP EPS of $0.43 and revenue of $895.70M, while the forward look holds a $1.81 consensus for the upcoming quarter announcing 10/27/2026 post-market and a 90-day revision tally of five up and six down. The dividends sub-page structures Safety, Growth, Yield and Consistency grades benchmarked against the Real Estate sector.

Why a separate page when the Yahoo Finance office REIT record covers the same tickers? Because the instruments differ. Yahoo's strength is standardized valuation and balance-sheet statistics; this record's strength is expectations data - consensus, revisions and announcement dates that Yahoo does not publish. Teams doing serious office-sector work ship both and reconcile. Get a sample of this dataset and judge the columns against your own models.

What do sample rows look like?

Three shapes arrive together - the snapshot that fixes who the row is about and what the tape says right now, the earnings card pairing reported FFO against the street's number, and the dated editorial stream:

# identity + live quote -- one flat object per ticker (observed Aug 20, 2026 close)
symbol          : BXP
companyName     : BXP, Inc.
exchange        : NYSE
sectorDisplay   : Real Estate       industryDisplay : Office REITs
isReit          : true
last            : $67.78            prev_close : $67.22
volume          : 4.763M            last_time  : 2026-08-20T16:00:00-04:00

# earnings card -- latest quarter actuals beside the forward look
quarter                 : Q2 2026
FFO Normalized Actual   : $1.78   (Beat by $0.08)
EPS GAAP Actual         : $0.43
Revenue Actual          : $895.70M

quarter                 : Q3 2026 (est.)
FFO Normalized Estimate : $1.81
Earnings Announce Date  : 10/27/2026 (Post-Market)
FFO Revisions (90d)     : 5 up / 6 down

# editorial stream -- one row per article or item (latest two observed)
publishOn : 2026-08-12  title : BXP, Inc.: Fundamentals Moving In The Right Direction
publishOn : 2026-07-28  title : BXP: Solid Q2, But Long-Term Debt Concerns Limit Upside

# ... repeats per ticker across the office REIT industry group
#     (~17 quant-rated names); grade frameworks and statement tables
#     extend the extract on request

Read the snapshot top to bottom and you have the entity, its REIT certification, its exchange and the last print in seven lines. Read the earnings card and you have both halves of a surprise: what management delivered against what analysts modeled, plus the direction the model has been drifting - five upward and six downward FFO revisions in the 90 days before the check. Note what the delivery layer has already done: currency prefixes, millions-suffixed volumes and display timestamps arrive typed, so the columns land analysis-ready rather than screenshot-shaped.

What fields does the dataset include?

Twenty typed fields form the verified core, checked against a live office REIT ticker on August 21, 2026. Six identity fields certify the entity - including isReit, the boolean that distinguishes a REIT's FFO-reporting regime from an ordinary industrial's EPS habit. Five quote fields move with the tape. Six earnings fields carry the quarter: FFO actual with its beat delta, FFO consensus, GAAP EPS, revenue, the announcement date with its session, and the 90-day revision tally. Three more run the editorial stream, one row per published piece.

FFO Revisions (Last 90 Days) deserves a second look because it is the field most teams undervalue on first read. A revision count compresses dozens of individual analyst actions into two integers - and captured on a schedule, those integers become a momentum factor that leads reported results rather than trailing them. The funds from operations definition covers why normalized FFO, not GAAP EPS, is the denominator that matters for this sector.

Everything else the symbol surface carries - dividend grade letters, quant and factor grades, peers, transcripts, financial-statement tables - folds under additional fields on request rather than bloating every row. Name them when you request the sample and they arrive documented with their observed values.

<!--TABLE:field_dictionary-->

Where does coverage reach across geography, time and granularity?

Geography - a global symbol-page catalog with deep US listings. The office REITs industry group holds roughly 17 quant-rated tickers, led by BXP, VNO and SLG; the wider non-rated office roster is confirmed for your specific symbols at sample time rather than assumed.

Temporal - three clocks run at once. Quotes stamp to the last trade with timezone offset. Estimates, revision tallies and articles arrive as timestamped point-in-time observations, designed to accumulate: a daily capture schedule turns the 90-day revision counter into a genuine momentum series. Beneath both, the earnings layer moves at reported-quarter cadence, each period stamped with its announcement date and session.

Granularity - one record per ticker; quarterly inside the earnings card; one row per analysis article or news item in the editorial stream.

Set against the wider catalog - average quality score 7.81 across the datasets we package - this record scores 7/10: fully verified field definitions and shipped sample rows, with its extension surfaces (grades, transcripts, statements) verified per named ticker rather than assumed across the roster.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Hourly suits the event windows - the sessions bracketing an earnings print like BXP's 10/27/2026 post-market date, when the gap between a $1.78 actual and a $1.81 consensus gets repriced in minutes. Daily is the revision-watch standard: one capture per session accumulates the 90-day up/down tally into a momentum series no quarterly filing can replicate. Weekly suits board reporting and portfolio reviews, where the movement of consensus matters more than any single session's drift. Whichever channel and cadence you pick, the twenty field names hold steady, so changing frequency is a configuration change, not a migration.

Who uses Seeking Alpha office REIT pages data, and for what?

  • Estimates-versus-actuals scoring - FFO beats and misses become a surprise series; the funds from operations definition explains the normalization behind the column.
  • Revision momentum tracking - the 90-day up/down pair, captured on a schedule, feeds factor libraries; mapped end to end in the quant backtesting workflow.
  • Earnings-event anticipation - announcement dates with sessions drive event-window design before the print lands.
  • Analyst sentiment snapshots - ten analysis headlines and twelve news items per page assemble into citable per-ticker panels.
  • Coverage-intensity reads - article and author volume per ticker gauge how hard the market is working a name.
  • Peer-relative screens - identical fields across BXP, VNO and SLG make grouped ranking a single query; the head-to-head detail lives in the Yahoo Finance vs Seeking Alpha comparison.

Which personas get the most value?

Three personas carry this record, each at relevance 1 in our scoring - an honest label: this is a color layer around the filings-grade feeds, not a replacement for them. Investors and quants get what filings structurally lack: forward FFO consensus, revision direction and the calendar of prints. Market researchers and consultants build dated sentiment snapshots from the editorial streams. Competitive intelligence and product teams read coverage intensity as a gauge of which office names the market is actively arguing about. Industry context - where this record sits among T-Tracker aggregates, NCREIF composites and building-stock microdata - lives on the office REITs data hub, and the ranked shortlist on best office REITs datasets shows where it lands against alternatives.

What should you know before requesting a sample?

Three things worth knowing upfront.

First, the dictionary boundary: twenty fields ship in the core; dividend grade letters, quant and factor grades, peers tables, transcripts and financial-statement tables fold into your sample on request, documented with observed values for the tickers you name. Extension surfaces populate unevenly across the roster - naming your symbols up front means the verification happens before delivery, not after.

Second, the roster check: the office REITs industry group counts roughly 17 quant-rated tickers. Non-rated office names exist beyond that set; tell us which symbols matter to you and the sample confirms coverage for exactly those, so a pipeline never discovers a missing ticker in production.

Third, the accumulation design: estimates, revision tallies and articles arrive as point-in-time observations. A single extract is a snapshot; a schedule turns it into the momentum series and sentiment panels this record is built for. Name the tickers, the cadence and the date ranges you care about and the sample comes back shaped to them.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - twenty core fields across the ticker snapshot, the quarterly earnings card and the editorial stream
fieldtypedefinitionexample
symbolstringTicker symbol of the covered company; the key tying the quote block, the earnings card and the article stream to one listed entity.BXP
companyNamestringRegistered company name resolved from the symbol attributes.BXP, Inc.
exchangestringPrimary listing exchange for the security.NYSE
sectorDisplaystringSector label as the research desk classifies it.Real Estate
industryDisplaystringIndustry label; the grouping under which office REITs sit together.Office REITs
isReitbooleanFlag certifying the company is structured as a REIT - the classification that drives the FFO reporting regime behind the earnings card.true
lastnumberLast traded price from the live quote block, delivered numeric rather than display-formatted.67.78
prev_closenumberPrevious session closing price; the base for change calculations.67.22
volumenumberSession volume in millions of shares.4.763
last_timedatetimeTimestamp of the last trade with timezone offset; the freshness anchor for every figure beside it.2026-08-20T16:00:00.000-04:00
FFO Normalized ActualnumberReported normalized funds-from-operations per share for the latest quarter, with the beat-or-miss delta against what the street expected.$1.78 (Beat by $0.08)
FFO Normalized EstimatenumberConsensus normalized FFO per share for the upcoming quarter - the forward number GAAP filings never carry.$1.81
EPS GAAP ActualnumberReported GAAP earnings per share for the latest quarter, shipped beside the FFO figure so the accrual-versus-cash gap stays visible.$0.43
Revenue ActualnumberReported quarterly revenue for the same period as the earnings card.$895.70M
Earnings Announce DatedateScheduled or actual announcement date with market session, so event windows can be drawn before the print rather than after it.10/27/2026 (Post-Market)
FFO Revisions (Last 90 Days)stringCount of upward and downward FFO estimate revisions over the trailing 90 days - revision momentum as a single pair of integers.5 changed up, 6 changed down
publishOndatetimePublish timestamp of each analysis article or news item in the editorial stream, one row per piece.2026-08-12T08:08:02-04:00
titlestringHeadline of the analysis article or news item.BXP, Inc.: Fundamentals Moving In The Right Direction
numberOfEmployeesintegerCompany employee count from the corporate profile block.826
yearfoundedintegerYear the company was founded or incorporated.1970

What teams do with it

  • Estimates-versus-actuals scoring FFO-normalized actuals ship with their beat-or-miss delta - BXP's $1.78 beating by $0.08 - turning each reported quarter into a surprise observation ready for a factor panel.
  • Revision momentum tracking The 90-day tally of five up and six down on BXP, captured on a schedule, becomes a revision-momentum series; mapped end to end in the [quant backtesting](/use-cases/quant-backtesting) workflow.
  • Earnings-event anticipation Announcement dates carry their market session, so event studies can draw windows before the print - the design pattern behind the [competitor tracking](/use-cases/competitor-tracking) playbooks.
  • Analyst sentiment snapshots Ten analysis headlines plus twelve news items per page, each with author and timestamp, assemble into a per-ticker sentiment panel; see [price monitoring](/use-cases/price-monitoring) for the cadence logic.
  • Coverage-intensity signal Article volume and author counts per ticker read how much analyst attention an office name commands - a demand-side gauge that filed financials never expose.
  • Peer-relative screens Identical fields across the industry group turn BXP-VNO-SLG ranking into one grouped query rather than three integrations.

Questions buyers ask

What is FFO normalization and why does it matter for office REITs?

Funds from operations adds real-estate depreciation back to GAAP earnings, and normalization strips further one-off items, giving the cash-earnings measure the sector is judged on. This record ships FFO actual and consensus side by side - BXP at $1.78 actual versus $0.43 GAAP EPS shows why the distinction dominates office-REIT analysis.

How many office REITs does the dataset cover?

The office REITs industry group holds roughly 17 quant-rated tickers within a site-wide catalog of thousands of symbol pages. The identical schema repeats per ticker, so BXP, VNO and SLG concatenate without remapping; the wider non-rated office roster is confirmed for your named symbols at sample time.

What do the FFO revision counts measure?

They tally how many analysts moved their normalized FFO estimates up or down over the trailing 90 days - five up and six down on BXP at verification. Captured on a schedule, the pair becomes a revision-momentum series that leads reported results rather than trailing them.

How far ahead do the estimates reach?

The forward look carries the upcoming quarter's consensus - $1.81 for BXP's Q3 2026 at verification - together with the announcement date and its market session, 10/27/2026 post-market. That combination is what event-window designs need drawn before the print rather than reconstructed after it.

Does the schema extend beyond office REITs?

Yes - the same per-symbol record shape exists across the research desk's industry groupings, so a multi-sector shop can reuse one integration pattern. Within real estate, the office group is simply the slice where the FFO-native earnings card carries the most analytical weight.

How does this differ from the Yahoo Finance office REIT record?

Different instruments over the same tickers. This record leads with expectations data - FFO consensus, 90-day revision tallies, announcement dates - while Yahoo Finance leads with standardized valuation and balance-sheet statistics. Many teams ship both and reconcile; the field-by-field head-to-head is scored in the dedicated comparison.

Can revision tallies be tracked as a time series?

Yes, and that is the intended use. Each capture stamps the current 90-day tally as a point-in-time observation; scheduled captures accumulate into a series whose turns mark shifts in analyst conviction between reported quarters. The sample includes the capture schema so your pipeline can start accumulating immediately.

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