Soft Logs Monthly Price - Malaysian Ringgit per Cubic meter

Data as of March 2026

Range
Mar 2016 - Mar 2026: -86.851 (-11.11%)
Chart

Description: Soft Logs, Average Export price from the U.S. for Douglas Fir, Malaysian Ringgit per Cubic meter

Unit: Malaysian Ringgit 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 2016781.52-
Apr 2016709.79-9.18%
May 2016726.112.30%
Jun 2016715.72-1.43%
Jul 2016704.49-1.57%
Aug 2016707.410.41%
Sep 2016773.149.29%
Oct 2016781.121.03%
Nov 2016798.912.28%
Dec 2016830.773.99%
Jan 2017834.720.48%
Feb 2017765.24-8.32%
Mar 2017827.538.14%
Apr 2017815.87-1.41%
May 2017820.610.58%
Jun 2017812.35-1.01%
Jul 2017772.22-4.94%
Aug 2017831.087.62%
Sep 2017810.21-2.51%
Oct 2017822.761.55%
Nov 2017869.115.63%
Dec 2017850.58-2.13%
Jan 2018886.904.27%
Feb 2018942.046.22%
Mar 2018893.65-5.14%
Apr 2018841.83-5.80%
May 2018829.46-1.47%
Jun 2018873.375.29%
Jul 2018909.954.19%
Aug 2018811.58-10.81%
Sep 2018800.42-1.38%
Oct 2018852.996.57%
Nov 2018755.89-11.38%
Dec 2018822.048.75%
Jan 2019731.18-11.05%
Feb 2019784.077.23%
Mar 2019782.04-0.26%
Apr 2019722.51-7.61%
May 2019784.308.55%
Jun 2019784.520.03%
Jul 2019766.93-2.24%
Aug 2019811.195.77%
Sep 2019768.62-5.25%
Oct 2019741.12-3.58%
Nov 2019799.667.90%
Dec 2019764.14-4.44%
Jan 2020805.225.38%
Feb 2020846.855.17%
Mar 2020869.412.66%
Apr 2020849.03-2.34%
May 2020813.11-4.23%
Jun 2020804.43-1.07%
Jul 2020820.171.96%
Aug 2020809.38-1.32%
Sep 2020843.604.23%
Oct 2020839.03-0.54%
Nov 2020974.1516.10%
Dec 2020892.51-8.38%
Jan 2021908.371.78%
Feb 2021881.74-2.93%
Mar 2021946.537.35%
Apr 2021965.091.96%
May 2021972.900.81%
Jun 2021970.93-0.20%
Jul 20211,045.507.68%
Aug 2021982.99-5.98%
Sep 20211,072.099.06%
Oct 20211,009.81-5.81%
Nov 2021983.12-2.64%
Dec 20211,019.723.72%
Jan 20221,026.790.69%
Feb 20221,129.7410.03%
Mar 20221,239.159.68%
Apr 20221,136.84-8.26%
May 20221,300.1814.37%
Jun 20221,262.78-2.88%
Jul 20221,236.12-2.11%
Aug 20221,238.740.21%
Sep 20221,184.51-4.38%
Oct 20221,213.092.41%
Nov 20221,247.662.85%
Dec 20221,091.85-12.49%
Jan 20231,018.06-6.76%
Feb 2023971.54-4.57%
Mar 2023982.691.15%
Apr 2023933.50-5.01%
May 2023988.605.90%
Jun 2023981.50-0.72%
Jul 20231,018.543.77%
Aug 2023958.42-5.90%
Sep 20231,005.504.91%
Oct 20231,035.322.97%
Nov 2023960.90-7.19%
Dec 2023940.16-2.16%
Jan 20241,026.459.18%
Feb 2024977.87-4.73%
Mar 2024930.75-4.82%
Apr 2024965.533.74%
May 2024913.08-5.43%
Jun 2024930.681.93%
Jul 2024880.14-5.43%
Aug 2024791.12-10.11%
Sep 2024827.434.59%
Oct 2024845.522.19%
Nov 2024828.87-1.97%
Dec 2024796.94-3.85%
Jan 2025941.1718.10%
Feb 2025858.43-8.79%
Mar 2025859.050.07%
Apr 2025956.5511.35%
May 2025948.11-0.88%
Jun 2025897.14-5.38%
Jul 2025931.673.85%
Aug 2025931.29-0.04%
Sep 2025818.59-12.10%
Oct 2025821.450.35%
Nov 2025835.861.75%
Dec 2025784.17-6.18%
Jan 2026713.49-9.01%
Feb 2026688.36-3.52%
Mar 2026694.670.92%

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