Why Empire State Keeps Beating Estimates—and What It Means for the Next Six Months

A look at the recurring earnings surprises and their potential impact on valuation

ESRT Empire State Realty Trust, Inc.

In this report

01

Price Signals vs Fundamentals

Momentum, volatility, relative strength → revenue, margin, ROE

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02

Institutional Flow Impact

Ownership changes vs price returns — leading or lagging?

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03

Earnings Surprise Patterns

Beat rates, pre-drift, announcement reactions, post-drift

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04

Multi-Signal Integration

Signal coverage and data quality assessment

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05

Signal Discovery Summary

Top signals, cross-company patterns, monitoring recommendations

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Price Signals vs Fundamental Outcomes

Empire State Realty Trust, Inc. (ESRT) — Signal-Fundamental Correlation

How to read this section: We test whether three price-based signals — 12-month momentum (trailing stock return), realized volatility (annualized standard deviation of daily returns), and relative strength (stock return minus S&P 500 return) — predict next-quarter fundamental outcomes: revenue growth, operating margin change, and ROE change (all year-over-year to remove seasonality). Each cell shows the Pearson correlation (r) between signal at quarter Q and outcome at quarter Q+1. Values closer to +1 or −1 indicate stronger predictive relationships. “n” is the number of quarterly observations.

The analysis examines how three common price‑based signals—12‑month momentum, realized volatility, and relative strength—correlate with subsequent fundamental outcomes for Empire State Realty Trust (ESRT) over a 45‑quarter horizon (2015Q1–2026Q1). Notable predictive relationships emerge primarily between the trend‑oriented signals (momentum and relative strength) and revenue growth, with correlation coefficients of 0.43 (p=0.005, n=41) for momentum and 0.42 (p=0.006, n=41) for relative strength. These magnitudes fall in the "notable" range (|r|≥0.4), suggesting that upward price trends tend to precede periods of higher top‑line growth, likely because market participants incorporate expectations of leasing activity and rent escalations into the stock price before earnings are reported. In contrast, volatility shows weak or insignificant links to any fundamental metric, reflecting its role as a more short‑term risk indicator rather than a forward‑looking gauge of operational performance.

12M Momentum predicts ESRT revenue growth with r=0.43 (p=0.005, n=41), a notable correlation.
Relative Strength also predicts revenue growth (r=0.42, p=0.006) and shows weak links to margin change (r=0.35, p=0.025).
Realized Volatility exhibits no significant relationship with revenue, margin, or ROE changes (|r|≤0.07, p>0.10).
ROE change is largely uncorrelated with any price signal (max r=0.14, p=0.382), indicating equity efficiency is not captured by short‑term market dynamics.

Limitations: The sample comprises only 41 usable observations per correlation, limiting statistical power and increasing sensitivity to outliers. Correlations do not imply causation; observed links may arise from common external factors (e.g., macroeconomic cycles) rather than a direct predictive mechanism. Regime dependence is possible—relationships derived from 2015‑2026 may not hold in markedly different market environments such as a prolonged recession or rapid interest‑rate shifts.

ESRT

For ESRT, 12‑month momentum is the strongest leading signal for revenue growth (r=0.43, p=0.005, n=41), indicating that a sustained price rise over the prior year tends to be followed by higher quarterly revenue increases. Relative strength mirrors this pattern with a comparable correlation (r=0.42, p=0.006), reinforcing the notion that relative outperformance against peers signals favorable leasing and rent‑growth dynamics. Both momentum and relative strength also display weaker but statistically significant ties to margin change (r=0.32 and r=0.35 respectively, p<0.05), suggesting that firms whose stocks exhibit strong trends may also improve profitability, perhaps through operational scaling or cost efficiencies. However, correlations with ROE change are minimal (r≤0.14, p>0.38), implying that equity returns are driven more by balance‑sheet actions than price trends. Realized volatility fails to predict any outcome meaningfully (|r|≤0.07, p>0.10).

Price Signals vs Fundamental Outcomes

Empire State Realty Trust, Inc. (ESRT) — Correlation Heatmap

Institutional Flow vs Price Impact

Empire State Realty Trust, Inc. (ESRT) — Institutional Flow Analysis

How to read this section: We test whether changes in institutional ownership predict future stock returns. Predictive correlates ownership change at quarter Q with the stock return at quarter Q+1 (do institutions anticipate price moves?). Concurrent correlates both at the same quarter (are institutions reacting to price moves?). If predictive > concurrent, institutional flow is leading; if concurrent dominates, flow is lagging. Institutional ownership data is reported quarterly with limited history, so sample sizes tend to be small.

The institutional flow analysis for Empire State Realty Trust (ESRT) indicates that the relationship between fund inflows/outflows and subsequent price movements is weakly predictive rather than purely concurrent. Over 41 quarters, the leading correlation coefficient of r = -0.2137 suggests a modest inverse association—higher institutional buying tends to precede slightly lower future returns—but the statistical significance (p = 0.1915) does not meet conventional thresholds, reflecting considerable uncertainty. By contrast, the concurrent correlation is even smaller (r = -0.097) and statistically insignificant (p = 0.5515), reinforcing that the predictive signal, albeit weak, marginally exceeds the contemporaneous relationship.

Institutional Flow Metrics

The leading institutional flow correlation (-0.2137) exceeds the concurrent correlation (-0.097), indicating a weak predictive edge.
Both correlations are statistically insignificant (p > 0.05), highlighting high uncertainty around any inferred causality.
The negative direction of the predictive signal suggests institutions may be buying before modest price declines, hinting at possible contrarian positioning.

Limitations: Quarterly institutional flow data provides low temporal resolution, obscuring intra‑quarter timing effects. Small sample sizes (n≈39–40) reduce statistical power and increase the risk of Type II errors. Correlation does not imply causation; external factors could drive both flows and price movements simultaneously.

ESRT

For Empire State Realty Trust, institutional activity appears to lead price changes modestly, as evidenced by a leading correlation of -0.2137 versus a concurrent correlation of -0.097. The negative sign implies that periods of net institutional buying are followed by slight price depreciation, which could reflect contrarian behavior or delayed market assimilation of the flow information. However, with a p‑value of 0.1915 and only 39 observations for the predictive metric, the result is statistically weak and should be interpreted cautiously. The limited granularity of quarterly flow data further constrains the ability to capture short‑term dynamics that might amplify or reverse this relationship.

Earnings Surprise Patterns

Empire State Realty Trust, Inc. (ESRT) — Earnings Surprise Profile

How to read this section: For each earnings announcement, we measure stock returns in three windows: pre-drift (20 to 1 trading days before — does the market anticipate the surprise?), announcement (day 0 to +1 — the immediate reaction), and post-drift (+2 to +20 days — does the reaction continue or reverse?). Events are classified as positive (>2% EPS surprise), negative (<−2%), or inline. The event study chart shows the average cumulative return path across all events of each type.

Empire State Realty Trust (ESRT) has demonstrated a strong earnings beat record over the past 37 reporting events, achieving an 81.1% beat rate with an average EPS surprise of 32.08% and an average revenue surprise of 9.42%. The pattern shows consistent outperformance, highlighted by two consecutive beats and no recent misses, while the magnitude of surprises appears to be widening over time. Return dynamics around earnings releases reveal a modest pre‑announcement drift (average +1.16% for positive surprises) that quickly reverses at the announcement (+0.47%) and turns negative in the post‑drift period (−1.79%), suggesting limited predictive leakage and a short‑lived market reaction.

Returns by Surprise Direction

ESRT’s beat rate of 81.1% and average EPS surprise of 32.08% underscore a consistent ability to outperform expectations.
Pre‑announcement drift is small (+1.16%) and lacks predictive power (correlation -0.0726), indicating limited leakage.
Post‑announcement returns turn negative (-1.79%), suggesting the market quickly assimilates the surprise information.
The widening surprise trend points to growing gaps between consensus estimates and actual performance.

ESRT

The high beat rate and sizable average EPS surprise indicate that ESRT routinely exceeds analyst expectations, reinforcing its reputation for earnings resilience in the REIT sector. However, the pre‑drift correlation of -0.0726 signals virtually no systematic relationship between prior price movement and the direction of the surprise, implying that information leakage is minimal. The observed widening trend in surprises could reflect increasing operational leverage or strategic initiatives that are not fully captured by consensus forecasts.

Earnings Surprise Patterns

Empire State Realty Trust, Inc. (ESRT) — Event Study

Multi-Signal Integration

Empire State Realty Trust, Inc. (ESRT) — Signal Coverage

The signal integration for Empire State Realty Trust, Inc. (ESRT) reveals a modest but discernible predictive structure within its price-fundamental relationships. Two price-fundamental signals achieved notable or strong statistical significance, with the strongest being a 12‑month momentum indicator that correlates with revenue growth at r=0.43 over 41 observations—an effect size that is notable (|r|≥0.4) and statistically significant given the sample size. Data quality across all evaluated signals is rated strong, indicating reliable measurement and minimal noise, while overall signal coverage is moderate, reflecting a reasonable breadth of variables but not exhaustive market depth. Convergence among the identified signals is limited; the primary momentum‑revenue link stands alone without corroborating evidence from other price or fundamental metrics, suggesting a partially fragmented predictive landscape. Consequently, ESRT exhibits a moderate level of patterning: some forward‑looking cues exist, yet the mixed earnings consistency and lack of institutional or pre‑drift predictive signals temper confidence in robust forecasting over the next 6–18 months.

ESRT displays modest predictability driven primarily by a single notable price-fundamental relationship (12M momentum ↔ revenue growth).
Strong data quality enhances confidence in the identified signals, but moderate coverage and limited signal convergence constrain comprehensive forecasting.
The lack of institutional or pre‑drift predictive signals suggests that external analyst behavior and early market drift do not currently add explanatory power for ESRT.

ESRT

Notable/strong predictive power was observed for two price-fundamental signal types, most prominently a 12‑month momentum metric that correlates with revenue growth (r=0.43, n=41). The data quality supporting these signals is classified as strong, ensuring high reliability of the underlying measurements, while coverage is moderate, indicating a decent but not exhaustive set of variables. Signals do not strongly converge; the momentum–revenue relationship operates largely in isolation without reinforcement from additional price or fundamental predictors. Overall predictability is assessed as moderate: the presence of a statistically notable signal provides some forecasting utility, yet mixed earnings consistency and the absence of institutional or pre‑drift predictive inputs limit the depth of pattern recognition.

Signal Discovery Summary

Empire State Realty Trust, Inc. (ESRT) — Summary & Recommendations

The signal discovery analysis for Empire State Realty Trust, Inc. identified two modestly notable predictive relationships: a 12‑month price momentum series correlates with subsequent revenue growth at r=0.43 (n=41) and the stock’s relative strength index shows a similar correlation of r=0.42 (n=41). Both signals exceed the analysis’ threshold for ‘notable’ performance (|r| ≥ 0.4) and suggest that upward price trends may precede modest earnings expansion, likely reflecting investor sentiment about the REIT’s leasing pipeline and rent roll stability. A third signal—institutional flow leading price movements—registered a negative correlation of r=‑0.2137 (n=39), which falls below the notable threshold but hints at short‑term contrarian dynamics where net inflows precede modest price declines. No cross‑company patterns emerged, indicating that these relationships are currently unique to Empire State Realty Trust within the sample set. Consequently, the firm ranks as the sole entity with detectable predictive signals, though the strength of those signals is moderate rather than strong. The analysis underscores the importance of treating these correlations as indicative, not deterministic, given the limited quarterly observations and the possibility that market regimes could shift. Investors should therefore view 12‑month momentum and relative strength as leading indicators worth monitoring alongside traditional REIT fundamentals, while remaining cautious about over‑reliance on institutional flow signals. Continuous validation with newer data will be essential to confirm whether these patterns persist in future quarters.

Predictability Rankings

ESRT moderate

12‑month momentum and relative strength each show a notable correlation (~0.43) with forward revenue growth.

Monitoring Recommendations

Track the 12‑month price momentum of ESRT and compare it to quarterly YoY revenue changes.
Observe relative strength index movements for early signs of earnings acceleration.
Watch net institutional inflows for potential short‑term price reversals.
Update correlation analyses each quarter to detect regime shifts.

Key Takeaways

1. Two leading price‑based signals (12M momentum, relative strength) exhibit notable predictive power for revenue growth (r≈0.43).
2. Institutional flow shows a weak negative relationship with price, suggesting limited short‑term forecasting value.
3. No consistent cross‑company patterns were identified, limiting broader applicability of the findings.
4. Sample sizes (n≈40) are modest; results should be treated as provisional rather than conclusive.
5. Ongoing monitoring and re‑estimation are required to validate signal persistence.

The analysis relies on bivariate Pearson correlations with lagged variables, using quarterly YoY changes to mitigate seasonality. Correlations above |r| ≥ 0.4 are deemed notable, but the sample sizes (minimum 8 quarters for price‑fundamental links) remain limited, increasing statistical uncertainty. Moreover, correlation does not imply causation, and identified relationships may be regime‑dependent; they could weaken or reverse under different market conditions or as new information becomes available.

ESRT

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Report written 2026-06-07 • Finexus

Disclaimer

This report is generated by Finexus and is provided for informational purposes only. It does not constitute investment advice, a recommendation, or an offer or solicitation to buy or sell any security.

The analysis is based on publicly available data from sources believed to be reliable, but Finexus does not guarantee its accuracy, completeness, or timeliness. Valuation estimates, projections, and any forward-looking statements are model outputs based on historical data and assumptions that may not hold in the future.

Past performance is not indicative of future results. Readers should conduct their own independent research and consult a qualified financial advisor before making any investment decision. Finexus and its contributors disclaim any liability for losses arising from the use of this report.