Soft Logs Monthly Price - New Israeli Sheqel per Cubic meter

Data as of March 2026

Range
Mar 2011 - Mar 2026: -42.978 (-7.28%)
Chart

Description: Soft Logs, Average Export price from the U.S. for Douglas Fir, New Israeli Sheqel per Cubic meter

Unit: New Israeli Sheqel per Cubic meter



Source: International Monetary Fund

See also: Agricultural production statistics

See also: Top commodity suppliers

See also: Commodities glossary - Definitions of terms used in commodity trading

Overview

Soft logs are roundwood harvested from coniferous tree species such as pine, spruce, fir, and similar softwood species used in industrial processing. In commodity markets, they are typically priced by volume, commonly in US dollars per cubic meter, with benchmark series often based on average export prices from the United States. Soft logs are an upstream forestry input rather than a finished material, and their value reflects species, log dimensions, quality, moisture content, and suitability for sawmilling, veneer, pulp, or engineered wood production. They are distinct from lumber because they are sold in log form before primary processing.

The main end uses are sawn timber, plywood, veneer, pulp, paper, and panel products. Soft logs also feed biomass and energy applications in some regions, although industrial wood processing remains the core demand channel. Because logs are bulky and expensive to transport relative to value, trade is shaped by proximity to mills, ports, and inland transport networks. Pricing therefore reflects both forest biology and industrial geography, making soft logs a classic example of a commodity whose market structure is determined by long-lived regional supply chains.

Supply Drivers

Soft log supply is governed by forest biology, land ownership, harvest rotation, and transport access. Major producing regions include North America, northern and central Europe, Russia, and parts of the Southern Hemisphere where plantation forestry is established. Softwood species grow best in temperate and boreal climates, where long rotations and large land bases support commercial forestry. In plantation systems, supply is more regular because trees are planted, thinned, and harvested on managed cycles; in natural forests, supply depends more on allowable cuts, regeneration, and ecological constraints.

Weather and climate affect supply through drought, frost, windthrow, wildfire, and insect outbreaks. These factors can alter harvest timing, damage standing timber, and change log quality. Forest pests and disease can also shift the species mix available to mills. Harvesting is capital intensive and depends on roads, logging equipment, and seasonal ground conditions, especially where frozen soils or dry periods are needed for access. Because trees require many years to mature, supply responds slowly to price signals. Milling capacity, export terminals, and inland freight corridors also matter: logs are heavy and low value per unit weight, so transport costs can determine whether a stand is economically harvestable.

Demand Drivers

Demand for soft logs is driven by construction, packaging, furniture, paper, and industrial wood processing. Sawmills convert logs into lumber for framing, flooring, and general building materials, while veneer and plywood mills require logs with specific diameter and straightness characteristics. Pulp mills use lower-grade logs and residual fiber for paper, tissue, and panel products. This creates a quality ladder in which higher-grade logs command premiums and lower-grade material competes with pulpwood and biomass uses.

Housing activity is a major structural demand driver because softwood lumber is widely used in residential construction and renovation. Demand also rises with broader industrial output, freight packaging needs, and consumer spending on wood-based goods. Substitution occurs across wood products: engineered wood can replace some solid lumber applications, while steel, concrete, plastics, and composites can substitute in certain building or packaging uses. Seasonal patterns matter because construction and harvesting are often constrained by weather. Demand is also influenced by long-run shifts in paper consumption, recycling rates, and the adoption of engineered wood products, all of which change the mix of log grades required by mills.

Macro and Financial Drivers

Soft log prices are sensitive to exchange rates because international trade is commonly denominated in US dollars while production costs are incurred in local currencies. A stronger dollar can make exports less competitive for foreign buyers, while a weaker dollar can support trade flows. Interest rates matter indirectly through housing, construction finance, and inventory holding costs at mills and exporters. Because logs are bulky and costly to store, market structure often reflects local supply-demand balances rather than deep financial warehousing dynamics.

Inflation affects harvesting, labor, fuel, equipment, and freight costs, which feed into delivered log prices. Soft logs do not function as a classic financial hedge, but they can correlate with broader industrial activity and housing cycles. Where storage is limited, nearby supply and mill demand can create short-term price pressure, while transport bottlenecks can widen regional price differences. The market is therefore shaped more by physical logistics and processing capacity than by speculative storage economics.

MonthPriceChange
Mar 2011590.70-
Apr 2011624.705.76%
May 2011649.473.96%
Jun 2011633.38-2.48%
Jul 2011572.56-9.60%
Aug 2011589.923.03%
Sep 2011592.000.35%
Oct 2011566.77-4.26%
Nov 2011618.869.19%
Dec 2011627.381.38%
Jan 2012625.85-0.24%
Feb 2012580.47-7.25%
Mar 2012604.224.09%
Apr 2012570.72-5.54%
May 2012604.145.86%
Jun 2012619.492.54%
Jul 2012671.418.38%
Aug 2012625.11-6.90%
Sep 2012642.832.84%
Oct 2012626.73-2.51%
Nov 2012670.496.98%
Dec 2012618.11-7.81%
Jan 2013632.692.36%
Feb 2013607.44-3.99%
Mar 2013651.587.27%
Apr 2013667.842.50%
May 2013668.220.06%
Jun 2013676.151.19%
Jul 2013560.96-17.04%
Aug 2013612.629.21%
Sep 2013599.44-2.15%
Oct 2013622.953.92%
Nov 2013671.697.82%
Dec 2013628.87-6.37%
Jan 2014627.70-0.19%
Feb 2014682.148.67%
Mar 2014652.93-4.28%
Apr 2014634.78-2.78%
May 2014606.68-4.43%
Jun 2014642.955.98%
Jul 2014603.88-6.08%
Aug 2014620.062.68%
Sep 2014666.117.43%
Oct 2014686.993.14%
Nov 2014730.726.36%
Dec 2014763.054.42%
Jan 2015744.46-2.44%
Feb 2015740.36-0.55%
Mar 2015753.871.83%
Apr 2015741.10-1.69%
May 2015689.72-6.93%
Jun 2015651.11-5.60%
Jul 2015679.224.32%
Aug 2015686.881.13%
Sep 2015716.804.35%
Oct 2015687.13-4.14%
Nov 2015659.48-4.02%
Dec 2015699.976.14%
Jan 2016746.136.59%
Feb 2016704.79-5.54%
Mar 2016741.125.15%
Apr 2016686.72-7.34%
May 2016684.51-0.32%
Jun 2016674.92-1.40%
Jul 2016675.680.11%
Aug 2016666.81-1.31%
Sep 2016708.696.28%
Oct 2016714.600.83%
Nov 2016709.79-0.67%
Dec 2016712.940.44%
Jan 2017715.130.31%
Feb 2017642.84-10.11%
Mar 2017680.135.80%
Apr 2017675.63-0.66%
May 2017683.981.24%
Jun 2017671.38-1.84%
Jul 2017640.04-4.67%
Aug 2017698.609.15%
Sep 2017680.39-2.61%
Oct 2017683.340.43%
Nov 2017731.727.08%
Dec 2017730.75-0.13%
Jan 2018767.585.04%
Feb 2018840.779.54%
Mar 2018794.10-5.55%
Apr 2018766.52-3.47%
May 2018751.53-1.96%
Jun 2018787.054.73%
Jul 2018819.014.06%
Aug 2018727.24-11.21%
Sep 2018694.16-4.55%
Oct 2018750.248.08%
Nov 2018668.64-10.88%
Dec 2018739.0210.53%
Jan 2019654.87-11.39%
Feb 2019697.916.57%
Mar 2019693.76-0.59%
Apr 2019631.29-9.01%
May 2019675.827.05%
Jun 2019678.130.34%
Jul 2019659.36-2.77%
Aug 2019680.093.14%
Sep 2019647.01-4.86%
Oct 2019622.55-3.78%
Nov 2019670.037.63%
Dec 2019639.93-4.49%
Jan 2020682.806.70%
Feb 2020698.272.27%
Mar 2020732.124.85%
Apr 2020695.51-5.00%
May 2020658.37-5.34%
Jun 2020650.68-1.17%
Jul 2020660.311.48%
Aug 2020656.85-0.52%
Sep 2020695.515.89%
Oct 2020685.95-1.37%
Nov 2020795.4615.97%
Dec 2020715.53-10.05%
Jan 2021724.951.32%
Feb 2021712.89-1.66%
Mar 2021762.636.98%
Apr 2021766.790.54%
May 2021769.300.33%
Jun 2021763.80-0.72%
Jul 2021814.176.60%
Aug 2021750.57-7.81%
Sep 2021824.239.81%
Oct 2021779.95-5.37%
Nov 2021733.79-5.92%
Dec 2021758.413.35%
Jan 2022768.621.35%
Feb 2022867.0612.81%
Mar 2022956.9410.37%
Apr 2022863.89-9.72%
May 20221,003.1816.12%
Jun 2022977.51-2.56%
Jul 2022963.63-1.42%
Aug 2022915.03-5.04%
Sep 2022897.00-1.97%
Oct 2022917.332.27%
Nov 2022937.852.24%
Dec 2022849.99-9.37%
Jan 2023810.39-4.66%
Feb 2023786.52-2.94%
Mar 2023796.121.22%
Apr 2023767.95-3.54%
May 2023798.714.01%
Jun 2023772.25-3.31%
Jul 2023813.295.31%
Aug 2023779.10-4.20%
Sep 2023820.915.37%
Oct 2023867.945.73%
Nov 2023782.38-9.86%
Dec 2023741.39-5.24%
Jan 2024813.869.78%
Feb 2024747.40-8.17%
Mar 2024716.10-4.19%
Apr 2024758.175.88%
May 2024717.58-5.35%
Jun 2024736.102.58%
Jul 2024691.93-6.00%
Aug 2024668.32-3.41%
Sep 2024726.698.73%
Oct 2024739.501.76%
Nov 2024695.58-5.94%
Dec 2024644.62-7.33%
Jan 2025760.9418.04%
Feb 2025689.24-9.42%
Mar 2025707.942.71%
Apr 2025800.1513.03%
May 2025791.70-1.06%
Jun 2025736.52-6.97%
Jul 2025705.31-4.24%
Aug 2025748.226.08%
Sep 2025649.54-13.19%
Oct 2025639.65-1.52%
Nov 2025654.362.30%
Dec 2025616.15-5.84%
Jan 2026555.91-9.78%
Feb 2026545.39-1.89%
Mar 2026547.720.43%

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