Alexandria Real Estate Equities, Inc. (ARE)

FairStock Score: 53/100 — MIXED

Key Financials

AI Analysis

AI-generated, general educational analysis — not personal investment advice.

Alexandria owns mission-critical life science campuses in Boston, San Diego, and the Bay Area, a niche it pioneered in 1994. That gives it a possible moat: location, scale, and tenant relationships in tight innovation clusters. Still, the numbers are troubling. In fiscal Q2 2026, the quarter ended 2026-06-30, filed revenue was $662.8 million and net income was -$72.8 million, or -$0.43 per diluted share. For FY2025, filed revenue was $3.0 billion, net income was -$1.4 billion, and diluted EPS was -$8.44, a sharp reversal from FY2024 net income of $322.9 million and EPS of $1.80. FairStock's calculations at the 2026-10-13 close show a P/B of 0.48, P/E of -7.24, dividend yield of 5.40%, FCF yield of 16.8%, debt-to-equity of 0.69, Piotroski F-Score of 3/9, Altman Z-Score of 0.22, and EV/EBITDA of 29.56. FFO/AFFO, the right REIT measures, are not in the data, so I lean on dividend yield, leverage, revenue trend, and price-to-book. The 5.40% dividend and 16.8% FCF yield are attractive if sustainable, and price below book hints at asset value. But revenue fell from $3.1 billion in FY2024 to $3.0 billion in FY2025, losses are large, and the weak financial scores warn that cheapness may be deserved. FairStock labels it a TURNAROUND - a loss in the latest year after earlier profits. I would want confirmed FFO/AFFO stability before trusting the apparent discount.

In plain English: Alexandria Real Estate Equities owns and operates life science and technology campuses, mostly in large innovation hubs like Boston, San Diego, and the San Francisco Bay Area. The business looks weak right now: it had a large loss in its latest full year, and revenue has been slipping. The stock price looks cheap compared with the value of its real estate on the books, but that cheapness comes with real risk because the company is losing money and its financial strength scores are weak.

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Data as of 2026-10-13 close · note generated 2026-10-15 · model deepseek-flash

Sources (SEC EDGAR): fiscal Q2 2026 10-Q (period ended 2026-06-30) · fiscal Q1 2026 10-Q (period ended 2026-03-31) · fiscal Q3 2025 10-Q (period ended 2025-09-30) · fiscal Q2 2025 10-Q (period ended 2025-06-30) · FY2025 10-K (period ended 2025-12-31) · FY2024 10-K (period ended 2024-12-31) · FY2023 10-K (period ended 2023-12-31)

Fundamentals from company filings and market-data providers; prices are end-of-day, not real-time. AI-generated analysis is general and educational — not personal investment advice. Scoring methodology · Score test · Disclaimer