US Masters Residential Property Fund (Fund) (UMRRF) Fair Value & Analysis
Real Estate · US · Market cap $134M
Fair value as of: Jun 26, 2026
Analysis
US Masters Residential Property Fund (Fund) (UMRRF) currently trades at $0.1940, while our model-based Fair Value estimate is $0.0200 — implying the stock looks roughly 89.7% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
US Masters Residential Property Fund (Fund) is listed on the Australian Securities Exchange. The Fund was established to give investors exposure to US residential property and is the largest Australian-listed property trust with a primary strategy of investing in freestanding and multi-tenant US residential property in the New York metropolitan area. As of 31 December 2024, the Fund's portfolio has 623 housing units across 340 freestanding properties, with a gross asset value of approximately 710 million US dollars. The Fund conducts all its New York metropolitan area residential investment through its controlled entity US Masters Residential Property (USA) Fund, a Maryland Real Estate Investment Trust (US REIT). In June 2024, the fund created a stapled group, by stapling units in a new fund US Masters Residential Property Fund II (ARSN 676 798 468) (URFII) to existing units in the Fund. URF II was created to own a new responsible entity, US Masters Responsible Entity Limited (ACN 6…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.