Nasdaq Listed Quote Pages for Tower REITs (AMT/CCI/SBAC)

One page template serving all three pure-play US public tower landlords. American Tower Corporation (AMT), Crown Castle Inc. (CCI) and SBA Communications Corporation Class A (SBAC) each get a market-activity quote page with the same anatomy: last-sale price with net and percent change versus prior close, day high/low, a 52-week band, session volume, a dividend-yield panel, earnings-date estimates, short-interest statistics, an analyst-rating distribution and a news feed — beside a companion historical view tabulating date, close/last, volume, open, high and low per trading day, selectable from one day out to the full trading history.

The wrinkle worth noticing: two of the three do not even trade there natively. AMT and CCI are NYSE-listed common-stock REITs while SBAC is a NASDAQ-GS Class A listing, and the tape carries all three identically — because the template parameterizes across every US ticker and the tower REITs simply qualify like anyone else. Three landlords, one template, zero special-casing.

In the verified capture of 21 August 2026, AMT printed $177.32 (+0.91%), CCI $75.985 (+0.79%) and SBAC $182.80 (+2.26%). Datadory delivers the pages as typed, joinable rows. Against a catalog of 1,744 datasets across 159 viable industries averaging 7.81, this record scores 7/10 — complete field coverage, honestly folded panels. Get a sample of this dataset and judge the rows first.

Straight from the 21 August 2026 verification pass:

ticker      : AMT
company     : American Tower Corporation (REIT) Common Stock
exchange    : NYSE
last_sale   : $177.32        # most recent trade print
change      : +0.91%         # versus prior close

ticker      : CCI
company     : Crown Castle Inc. Common Stock
stock_type  : Common Stock Real Estate Investment Trust
exchange    : NYSE
last_sale   : $75.985        change: +0.79%

ticker      : SBAC
company     : SBA Communications Corporation Class A Common Stock
stock_type  : Class A Common Stock Real Estate Investment Trust
exchange    : NASDAQ-GS
last_sale   : $182.80        change: +2.26%

# AMT historical row, one line per trading day:
date        : 08/20/2026
open        : $177.035       high: $177.91   low: $174.96
close       : $175.72        volume: 1,904,213

Read the anatomy, not just the values. Each quote row hands over identity (ticker, registered company name, exchange), level (last sale) and motion (percent change versus prior close) — the three things any downstream calculation needs. The historical row adds the fourth dimension: a completed trading day with open, high, low, close and volume, which turns snapshots into a time series.

Two details reward attention. First, precision varies by name — CCI prints five significant figures ($75.985) where AMT prints four ($177.32) — and delivered extracts preserve the raw prints rather than flattening them to cents. Second, the share-class wording differs legitimately: SBAC is a Class A structure while AMT and CCI are straight common stock, so a join on company name needs the full registered string, not a fuzzy match.

Seven verified fields carry the core table, mapped below with types, definitions and examples read off live records during the August 2026 pass:

• page_title — the identity stamp. Full document title with company name, ticker and section, which keeps every row self-describing and makes cross-publisher joins a string operation.
• last_sale_price — the level. Most recent trade print in the quote header, preserved at native precision.
• net_change / percentage_change — the motion, on both scales. Absolute dollars and percent versus prior close share one column pair, so ranking session moves across a $76 name and a $183 name needs no normalization.
• fifty_two_week_range — the envelope. High-low band over a year converts any current price into position-in-range arithmetic.
• day_high_low — the corridor. Where the session actually traded, distinct from where it closed.
• volume — the participation check. Session shares, so a move gets weighed by whether anyone traded it.
• historical_rows — the spine. Date, close/last, volume, open, high, low per trading day from the companion view.

Beyond these sit the dividend-yield panel (ex-dividend date, yield, annualized dividend, P/E block), the earnings section (date estimates) and the short-interest and analyst-rating sections. Their internal sub-columns were not fully enumerable at review, so they stay folded under additional fields on request in the dictionary rather than approximated here.

Geography - United States listings, deliberately narrow and deliberately complete: the three pure-play US public tower REITs, AMT and CCI on the NYSE, SBAC on NASDAQ-GS. Every US-listed tower landlord of scale appears once, in one identical shape — there is no fourth pure-play to chase.

Temporal - two clocks. The quote half reflects the current session while the market is open. The historical half selects windows from one day out to the maximum trading history per ticker, so a single record supports both today's print and a multi-year trend line without stitching sources together.

Granularity - one quote row per ticker per session, and one historical row per trading day with six columns (date, close/last, volume, open, high, low). Nothing sits below company level — tower counts, tenant leases and ground rents belong to the property-level datasets beside this one.

Set against the wider catalog — 1,744 datasets averaging 7.81 — the telecom tower REITs slice holds 14 cataloged datasets averaging 7.36, and this record scores 7/10: seven verified fields and shipped samples, marked down slightly for panels whose sub-columns resist enumeration. Where it ranks inside the slice: best telecom tower REITs datasets.

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

You pick the channel and set the cadence to match the decision the quotes feed. Intraday dashboards want the fast lane; end-of-day portfolio marks want flat files sized for batch; BI tools want tabular extracts that land SQL-friendly. Cadence changes are a settings conversation, not a re-integration project.

Every delivery ships with the field dictionary above unchanged and sample rows for validation, flattened to one row per ticker per cycle with historical bars appended per trading day — so a CCI-versus-SBAC relative-value screen is arithmetic, not parsing. Name the tickers, the panels and the cadence when you request the sample; get a sample of this dataset first and let the ongoing arrangement follow it.

A three-name universe earns its keep in six specific jobs:

• Dividend tracking — ex-dividend dates, yields and annualized dividends for all three landlords in one table. REIT income strategies live or die on the payout comparison, and the tower trio is the sector's entire public pure-play set.
• Event-window studies — earnings-date estimates joined to daily OHLCV give clean pre/post announcement windows with the return tape attached.
• Relative-value screens — 52-week bands turn three different price levels into comparable positions-in-range.
• Short-interest monitoring — institutional positioning read beside percent change flags divergence between bets and prints.
• Consensus tracking — analyst-rating distributions captured on a schedule accumulate into a revisions series.
• Reporting and NAV marks — daily closes for AMT, CCI and SBAC from one consistent line instead of three hand-collected ones.

Each job maps to a persona below, and the sample validates whichever one you came for.

Investors & Quant Researchers get the tightest fit: a three-ticker universe small enough to model exhaustively, with OHLCV, short interest and consensus shifts forming a complete per-name feature set. Market Researchers & Consultants get citable levels, ranges and yields for tower-sector chapters, with provenance named. Journalists, Academics & Students get quotable session moves with receipts — SBAC up 2.26% on a day CCI managed 0.79% is a sentence the table proves. Data Scientists & ML Engineers get a uniform seven-field shape that ingests with zero entity resolution. Competitive Intelligence & Product Teams get the market's running verdict on towers, the number private operators get benchmarked against. Persona-by-persona detail lives on the investors & quants x telecom tower REITs and market researchers x telecom tower REITs pages.

Provenance note — published by Nasdaq, the exchange operator whose market-activity surface quotes every US listing regardless of primary venue, which is why two NYSE-listed REITs appear here without ceremony.

Scope note — this record covers securities-market data only. Physical-network facts — tower locations, tenants, heights, ground leases — live in the property-level records of the slice such as the TowerMaps US cell tower database; pairing the two gives you both the balance sheet's pulse and the assets underneath it.

Completeness note — seven verified fields with the dividend, earnings, short-interest and rating panels folded under additional fields on request; their sub-columns get pinned down against live records when your sample is cut rather than approximated here.

Where to go next — the telecom tower REITs data hub holds the rest of the slice, the Yahoo Finance quote pages for tower REITs record offers the same trio from a second publisher for cross-checking, and the OHLCV glossary entry unpacks the historical-table columns. For the source itself, see the Nasdaq source profile.