Ariel Property Advisors secures 20-unit multifamily sale for $3 million; the team of Tortorici, Shkury, Sozio, Berman, and Modell
Ariel Property Advisors has arranged the sale of a four-story, 20-unit multifamily property at 35-48 Steinway St. in Astoria. The property traded for $3 million, which represents $234 per s/f and $150,000 per unit.
The sales team of Michael Tortorici, Shimon Shkury, Victor Sozio, Jonathan Berman and Randy Modell served as exclusive agents for the seller, a real estate investment group, and procured the buyer, a local investor.
"35-48 Steinway Street attracted tremendous interest from multifamily investors throughout the city and locally," said Tortorici, vice president at Ariel Property Advisors. "The pricing achieved reflects today's strong demand for multifamily assets, particularly in Astoria where few such buildings trade in any given year."
Located only two blocks from the M/R trains at 34th Ave., the property is surrounded by several neighborhood landmarks including the Museum of the Moving Image and Kaufman Astoria Studios.
Brooklyn, NY Investment Property Realty Group (IPRG) closed the sale of 723 6th Ave., a mixed-use building located in the Greenwood Heights section of the city, for $2.65 million.
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
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
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.
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,