What is SBA COMMUNICATIONS REIT CORP CLASS (SBAC)'s Q-Score?

StoQuant's Q-Score for SBAC is 57.0. The Q-Score is a composite rating from 0–100 that combines DCF valuation, earnings quality, competitive moat, analyst consensus, ML forecasts, and market sentiment.

Is SBAC stock undervalued according to StoQuant?

See the full StoQuant analysis to check whether SBAC is currently undervalued according to Graham intrinsic value estimates.

What is the SBAC stock forecast?

StoQuant's ML model generates a forecast for SBAC predicting the probability of outperformance vs. the S&P 500, updated daily. See the detailed forecast page for confidence intervals and named drivers.

SBA COMMUNICATIONS REIT CORP CLASS (SBAC) — AI-Powered Stock Analysis & Research

Analysis updated Sep 23, 2026 — scores and signals refreshed daily.

SBA COMMUNICATIONS REIT CORP CLASS (SBAC) stock analysis — updated Sep 23, 2026: Q-Score 57/100 — Buy. AI alpha score, Graham intrinsic value, ML forecast, technicals and insider activity.

Key Quantitative Facts

At-a-Glance Metrics

Sector: Real Estate
Market Cap: $18.09B
Current Price: $170.53
52-Week Range: $166.76 – $223.75
Q-Score Verdict: Buy (57.0) grade B
Signal Coverage: 33 signals (28 alt-data)

Current Q-Score verdict: Buy (57.0) (grade B). 33 signals analyzed (28 differentiated alt-data).

How This Analysis Is Built

StoQuant's analysis of SBA COMMUNICATIONS REIT CORP CLASS (SBAC) is refreshed every trading day. The Q-Score combines discounted cash flow valuation, earnings quality, competitive moat, analyst consensus, ML return forecasts, technical momentum and market sentiment into a single 0–100 composite. Insider transactions from SEC Form 4 filings, the Graham intrinsic value estimate and signal coverage are recomputed as new data arrives, so this page always reflects the latest available information.

Recent Price Action & History

Trading Data & Technical Analysis

SBAC stock price is tracked daily for technical and fundamental analysis. The data below shows recent trading activity used in trend analysis, momentum calculation, and entry/exit signals.

Date	High	Low	Close
2026-05-14	$209.41	$200.51	$201.21
2026-05-27	$205.13	$199.68	$200.20
2026-06-08	$207.99	$199.54	$200.10
2026-06-18	$192.29	$186.35	$186.87
2026-07-01	$181.65	$176.18	$180.75
2026-07-14	$187.73	$183.98	$187.25
2026-07-24	$179.59	$173.51	$173.57
2026-08-05	$185.08	$171.12	$178.40
2026-08-17	$185.61	$181.96	$182.11
2026-08-27	$188.34	$183.48	$186.96
2026-09-09	$189.55	$185.71	$186.74
2026-09-21	$181.10	$176.00	$176.28

Peer Comparison in Real Estate

Sector Peers & Valuation Comparison

How SBA COMMUNICATIONS REIT CORP CLASS stacks up against same-sector peers on market capitalization and alpha scores:

Ticker	Company	Market Cap	Alpha Score
BEKE	KE Holdings Inc.	$20.3B	—
FSV	FirstService Corporation	$6.1B	—
JAN	Janus Living, Inc.	$5.0B	—
CIGI	Colliers International Group Inc.	$4.8B	—
OPEN	Opendoor Technologies Inc.	$3.4B	—

Explore Sector Analysis

View all Real Estate stocks by valuation and signals →

Key Analysis Points for SBA COMMUNICATIONS REIT CORP CLASS

What Drove SBAC's Score

SBA COMMUNICATIONS REIT CORP CLASS (SBAC) scores Buy (57.0), with no measured dimension below 41. Its highest are competitive moat at 68, earnings quality at 63, across 5 measured dimensions. See Q-Score methodology for how these dimensions are weighted and combined.

Q-Score dimensions, normalized 0-100
Dimension	Score
competitive moat	68
earnings quality	63
analyst consensus	51
valuation	47
technicals	41

Signal Diversity

StoQuant analyzes 33 signals (28 alt-data). Alternative data sources (FDA approvals, GitHub activity, SEC filings, App Store ratings) complement traditional financial metrics.

What StoQuant Measures for SBAC

Core Signals & Metrics

AI Alpha (Gem) Score: Combines 15+ technical signals (momentum, RSI, moving averages) with fundamentals (earnings surprise, growth consistency) and sentiment. 0–100 scale, residualized by sector so peer-relative strength is visible.
Benjamin Graham Intrinsic Value: DCF-based valuation using conservative earnings assumptions and sector-median discount rates. Margin of safety measures distance from intrinsic value to current price.
Composite Q-Score: Blends DCF upside potential, earnings quality (Piotroski F-Score, Altman Z-Score for distress risk), competitive moat score, analyst consensus, and social/news sentiment into one 0–100 verdict.
ML Price Forecasts: Probability estimates using historical price/volume patterns.
Insider & Institutional Flow: Officer and large shareholder transactions from SEC filings (10-K, Form 4), concentration analysis, and transaction patterns over 14/90-day windows. See insider activity methodology.
Sector & Macro Context: Market regime classification (bull/bear/correction), sector rotation, and portfolio context. Same stock signal reads differently across market environments.

Learn StoQuant's Signals & Scoring

Knowledge Base & Methodology

All StoQuant signals are explained in our knowledge base:

Q-Score Methodology — How StoQuant combines dimensions: DCF, earnings quality, moat, analyst consensus, ML, sentiment
Portfolio Construction — Building balanced portfolios with StoQuant signals
Diversification & Correlation — Cross-sector allocation and risk-adjusted returns

Compare & Research Tools

Direct Comparisons

SBAC vs BEKE — comparison
SBAC vs FSV — comparison
SBAC vs JAN — comparison
SBAC vs CIGI — comparison
SBAC vs OPEN — comparison
SBAC vs VTMX — comparison
SBAC vs BXDC — comparison
SBAC vs RVI — comparison
SBAC vs AIV — comparison
SBAC vs FPH — comparison
SBAC vs NHP — comparison
SBAC vs ELME — comparison

Broader Research Tools

Stock Screener — Filter 3,600+ stocks by Q-Score, alpha, Graham value, insider flow
ML Stock Forecast — Return probability forecast with confidence intervals and driver analysis
Full Stock Screener — Filter 3,600+ tickers by metrics, find outliers in any category

Sector-Specific Research

Real Estate Hub — Top performers and valuation outliers in Real Estate

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About StoQuant

Platform Overview

StoQuant is a quantitative stock research platform powered by AI scoring, fundamental analysis, and institutional-grade signals. We cover 3,600+ US-listed equities with daily updates on valuations, earnings quality, insider flow, and ML-based return forecasts. Learn more about us.

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Disclaimer & Methodology

How StoQuant Works

StoQuant research is generated algorithmically using public market data, SEC filings, news feeds, and proprietary ML models. Not investment advice. Past performance does not guarantee future results.

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