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Real Estate is ranked #16 of 49 industries by 3-month relative strength, with +5.91% excess return vs the S&P 500 over the last 63 trading days. It sits inside the Real Estate GICS sector and contains 63 stocks.
As of Jul 6, 2026, the real estate industry is ranked #16 of 49by 3-month relative strength versus the S&P 500. It is currently outperforming the market, with an excess return of +5.91% over the past 63 trading days.
The 1-month rank is #15, the 6-month rank is #29, and the 1-year rank is #15. Compare these to spot a rotation: a falling 6M rank with a rising 1M rank tells you the industry is turning — money is starting to come back.
The 63 constituents are ranked by relative strength above. See the full constituents table for per-name RS.
How many stocks are in the Real Estate industry?
63 US-listed core stocks (common shares + ADRs) map to the Real Estate Fama-French industry as of 2026-07-06.
What GICS sector does Real Estate belong to?
Real Estate maps to the Real Estate GICS sector.
How is relative strength computed?
Each constituent’s excess log-return versus the S&P 500 over the window, aggregated market-cap-weighted across the industry. Industries above zero are outpacing the broad market; below zero are lagging.
Strong climber
This group traded 0.8× its typical dollar-volume today and accounted for 0.2% of total market dollar-volume — a read on how much participation is concentrated here right now.
Strength is spread across many constituents. Healthier rotation; setups likely available beyond the obvious names.
2 of 36 constituents are within 2% of a 52-week high.
A wide move (most names above their MAs) is healthier than a narrow one led by a handful of mega-caps.
Real-estate operators and developers — building lessors, real-estate agents and managers, land subdividers, and title abstract offices (SIC 6500–6611, excluding most REITs which classify under Trading).
Real Estate is one of 49 industries in the Fama-French taxonomy. SIC code-based classification published monthly by Ken French at Dartmouth. The FF49 groupings are intentionally coarser than GICS or SIC alone — useful for market-rotation reads, less useful for fine-grained screening.
FF49 is intentionally coarse — useful for rotation reads, less useful for fine-grained screening. Read the methodology →