Auction Analysis: New York Old Master Paintings Evening Auctions – January & May 2019
- Pages: 15
- Access: Analyst
New York’s Evening Sales of Old Master Paintings are up 15% from 2018
2019 started off with a bang for the Old Master Paintings market in New York. After a successful year in 2018, with the market up 38% from 2017, the sales of 2019 have so far elevated New York’s market a further 15%.
Sotheby’s and Christie’s began the year with their New York sales, Sotheby’s Master Week in January and Christie’s Classic Week in early May. Sotheby’s 79 lot sale brought in $43,505,000 million (excluding buyer’s premium), with 60 lots sold: 75.9% by volume and 83.6% by value (based on average estimates). Christie’s waited a bit longer this year, having their sale on the 1st of May, selling $36,334,000 from 44 lots, with 12 lots bought in. Their offering was divided into two sales, the second, Masterworks from the Estate of Lila and Herman Shickman immediately following the regular sale and pulling in some impressive prices.
About this report:
This report presents an in-depth comparative analysis of the Old Master Paintings evening sales at Sotheby’s and Christie’s in New York this spring (January and May 2019). The analysis also provides analytical tools looking at annual trends between 2010 and 2019.
Who is it for?
This report is popular among dealers, auction houses and collectors, who want to get an in-depth understanding of auction trends in the Old Master Paintings auction market and follow the performance of the two top auction houses this year.
Comparable Performance: Old Master auction sales performance comparison between Sotheby’s and Christie’s in London including: Total sales vs Estimates, Average Prices and auction indicators.
Auction Lot Details: Details on the full auction including: hammer prices, estimates, bought-in lots and winning bids (paddle numbers and people).
Auction Overview: Performance by value and numbers for each auction house.
Top Prices: Ranking by the highest prices achieved and by top price-to-estimate performance.