Tag: NYSE: TOL

  • US Apartment Absorption Rate: 4Q 2018

    In 4Q 2018, the building of 56,950 apartment units in the US was completed, an -18% decline from 4Q 2017, when it was 69,640 units. (Figure 1 below). Apartment completions in 4Q 2018 were at their lowest point since 4Q 2013. These data come from the US Census Bureau, in collaboration with the US Department…

  • US Housing Starts: June 2019

    According to estimates from the US Housing and Urban Development and Commerce Department Wednesday, single-family housing starts in the US improved in June, consistent with the recent stabilization of the NAHB/Wells Fargo Housing Market Index (HMI). Single-family starts increased 3.5% to a 847,000 seasonally adjusted annual pace in June. Privately‐owned housing starts in June were at…

  • Muted Demand Keeps Softwood Lumber Prices Low as Futures Tank

    Until Tuesday all eyes were on trading of softwood lumber futures on the Chicago Merchantile Exchange. The July contract closed Monday unchanged at $360. By Tuesday morning the September contract down $12 and trading at $336, with little optimism of the recent price drops reversing direction. For it’s part, cash price (wholesaler, “print”) for benchmark…

  • MADISON’S FOREST PULSE *Brand New Re-Design* July 2019

    MADISON’S FOREST PULSE *Brand New Re-Design* July 2019: The information tool for your forest management and investment Our quarterly product is tailored to provide you with vital information about the North American solid wood, pulp, and paper industry at your fingertips in a timely manner. CLICK TO DOWNLOAD! MadisonsForestPulse2Q2019 FOREST PULSE TESTIMONIAL: Michael Low |…

  • Madison’s Forest of Products: July 2019

    Madison’s North American Heating Wood Pellet Price Report JUNE 2019 … download latest issue British Columbia Coastal Log Prices, Monthly: 2013 to Present Madison’s British Columbia Coast Log Price Report JUNE 2019 … download latest issue MADISON’S FOREST PULSE … download latest issue Be among the first to use this exciting new data set! Don’t…