Best Earnings Power Value Real Estate Stocks 2026
Top Real Estate stocks by Earnings Power Value (EPV) upside in 2026. Greenwald-framework normalized earnings valuation updated daily from SEC filings.
Top 10
Screened from 21 equities.
| # | Ticker | Company | Signal | QOC | Price | EPV Upside |
|---|---|---|---|---|---|---|
| 1 | LPA | Logistic Properties of the Amer | 2.1 | $3.46 | +29.4% | |
| 2 | FOR | Forestar Group Inc | 7.8 | $30.13 | -8.8% | |
| 3 | MRP | Millrose Properties, Inc. | 6.1 | $28.16 | -34.5% | |
| 4 | VTMX | Corporacion Inmobiliaria Vesta, | 8.7 | $33.88 | -37.9% | |
| 5 | CHCI | Comstock Holding Companies, Inc | 9.6 | $15.39 | -48.9% | |
| 6 | CIGI | Colliers International Group In | 1.9 | $96.68 | -49.9% | |
| 7 | CWK | Cushman & Wakefield Ltd. | 8.3 | $13.32 | -50.0% | |
| 8 | BPYPN | Brookfield Property Partners L. | 5.3 | $13.94 | -54.4% | |
| 9 | BPYPO | Brookfield Property Partners L. | 5.3 | $15.28 | -58.4% | |
| 10 | FPH | Five Point Holdings, LLC | 8.7 | $5.12 | -58.5% | |
| 11 | B••• | Brookfield ••••• | •.• | $•••.•• | ••.•% | |
| 12 | H••• | Hudson ••••• | •.• | $•••.•• | ••.•% | |
| 13 | T••• | Terreno ••••• | •.• | $•••.•• | ••.•% | |
| 14 | I••• | Innovative ••••• | •.• | $•••.•• | ••.•% | |
| 15 | C••• | CBRE ••••• | •.• | $•••.•• | ••.•% | |
| 16 | E••• | Ellington ••••• | •.• | $•••.•• | ••.•% | |
| 17 | F••• | FirstService ••••• | •.• | $•••.•• | ••.•% | |
| 18 | U••• | Urban ••••• | •.• | $•••.•• | ••.•% | |
| 19 | G••• | Getty ••••• | •.• | $•••.•• | ••.•% | |
| 20 | C••• | Curbline ••••• | •.• | $•••.•• | ••.•% |
You’re seeing 10 of 21 stocks.
Access the complete dataset with 13 institutional-grade models.
How CirclFi Ranks Real Estate Stocks
CirclFi analyzes 21 Real Estate stocks daily using 13 independent models processing SEC EDGAR filings, FRED macro data, and GDELT sentiment.
For Real Estate stocks, CirclFi adjusts sector-relative benchmarks — comparing margins, capital intensity, and growth rates against Real Estate industry medians.
Profitability Matrix
ROIC, Gross Margin expansion, and FCF Yield analysis.
Growth Vector
Revenue compounding vs. sector benchmarks.
Stability Index
Altman Z-Score, debt resilience, and earnings variance.
Frequently Asked Questions
What are the best earnings power value real estate stocks in 2026?
CirclFi identifies the best earnings power value real estate stocks 2026 using 13 institutional-grade valuation models including Bayesian DCF (10,000 Monte Carlo simulations), EPV (Greenwald framework), and EROIC Spread (McKinsey). Rankings update daily from SEC EDGAR filings. The current top-ranked stock is LPA (Logistic Properties of the Amer).
How does CirclFi rank Real Estate stocks?
Stocks are ranked by EPV Upside derived from CirclFi's proprietary models. Each model independently processes SEC EDGAR financial data (700+ XBRL tags), FRED macroeconomic indicators, and GDELT news sentiment to produce confidence-weighted fair value estimates. The ranking methodology combines multiple valuation approaches — intrinsic, relative, scenario, and ensemble — for maximum robustness.
How often is the best earnings power value real estate stocks 2026 list updated?
This list is recalculated daily after US market close. Every stock is re-valued through all 13 models using the latest SEC EDGAR filings, market prices, and FRED macroeconomic data. Rankings can change daily as new financial data becomes available or market prices shift relative to fair value estimates.
What is the Quality of Company (QOC) score?
The QOC score is a 0-10 composite rating derived from 32 fundamental signals across four pillars: profitability (ROE, ROIC, margins), growth (revenue CAGR, earnings acceleration), stability (earnings volatility, debt coverage), and capital efficiency (asset turnover, free cash flow yield). Higher scores indicate stronger fundamentals. Scores above 7 represent top-tier companies.
How does this list compare to other stock screeners?
Unlike simple screeners that filter by P/E or dividend yield, CirclFi runs 13 independent institutional-grade valuation models on every stock — including Bayesian DCF with Monte Carlo simulation, Greenwald EPV, and McKinsey economic profit frameworks. Each stock receives over 76,000 data points of analysis daily. Most retail screeners use 1-2 metrics; CirclFi uses 13 models with 32 quality signals.
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