News:
Brokerage
Posted: July 5, 2016
Four firms sell self-storage portfolio: 2,485 units
Nicholas Malagisi, Sperry Van NessBoston, MA Connie Neville of SVN|C. M. Neville & Associates, Inc.; Nick Malagisi of SVN|Comm’l. Realty; Hans Hardisty of SVN|Deegan-Collins Comm’l. Realty and Patrick Lemp of Valbridge Property Advisors|Italia & Lemp Inc. joined forces to sell a significant self-storage portfolio of four properties in New York and Connecticut. The portfolio consisted of 228,037 net rentable s/f in 2,485 units.
The properties were offered unpriced and were widely marketed to self-storage REITs, pubic companies, funds and individual self-storage investors.
According to Nick Malagisi, product council chair for the SVN National Self-Storage Team, “This portfolio attracted national attention because of its size, the strategic locations, the consistently high occupancies and revenue overall and the pride of ownership evident at each facility.”
The four brokers worked cooperatively to list and close this major transaction which included the assumption of one CMBS loan in less than 5 months.
Tags:
Brokerage
MORE FROM Brokerage
Investment Property Realty Group closes $2.175 million sale of 247 Leonard St.
Brooklyn, NY Investment Property Realty Group (IPRG) closed the sale of 247 Leonard St., a multi-family building located in the Williamsburg section of the city, for $2.175
Quick Hits
 (2).gif)
Columns and Thought Leadership
The death of the generic offering memorandum: What buyers expect in 2025 - by Kimberly Zar Bloorian
There was a time when an offering memorandum (OM) was pretty bare bones, some photos, a few bullet points on income, and a rent roll thrown in at the back. That used to get the job done. Not anymore. In 2025, buyers are sharper, faster, and more selective. They’re looking
Hunt commercial real estate question and answer: The total cost of relocation - by David Hunt
You have a right to be concerned. I am always surprised at the companies that will negotiate the price of their new facility down to the last dollar, without thoroughly analyzing their
Artificial intelligence in lending - by Lindsay Mesh Lotito
Artificial intelligence (AI) is beginning to help transform lending by enhancing decision-making, improving risk management and streamlining operations. With AI-powered tools that analyze vast amounts of data, lenders are able to assess borrower creditworthiness more accurately and efficiently. AI can evaluate a wide range of factors,
New York’s streets are full again, and the retail numbers prove it - by Noam Aziz
Walk down any New York block this year and you can feel it. The sidewalks are crowded, the storefronts are lit, and the energy that defines this city is back at full volume.
.gif)
August Promotion
