Polsinelli, Ross and Mehra of Besen & Associates negotiate $4.5m sale
Adelaide Polsinelli, Laurence Ross, both senior executive brokers of The Platinum Team, in cooperation with Shalini Mehra, sales associate, at Besen Associates, Inc., have sold the apartment building located at 316 East 83rd St.
The property, located between First and Second Aves., contains 20 units. The average rents were $1,400 per unit per month.
"Conveniently located to all transportation and cultural attractions the property offers all of the benefits of Upper East Side lviing," said Mehra.
The property was under a 30 year ownership and was well maintained. Many of the units had been gut renovated and featured exposed brick walls.
"Priced at under $500 per s/f., with an average rent of $1,400 per month, this asset is well poised to capture the appreciation of the area," said Polsinelli.
The seller was represented by Dominique Punnett of Stribling New York.
The five story, walk up apartment building with 20 units sold for $4.5 million.
The attorney for the seller was David Pravda, Esq. The attorney for the buyer was Steve Gafner, Gafner & Schore. The purchaser was 316 East 83rd St., LLC.
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.
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.
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 (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,