Soft Logs Monthly Price - Qatari Riyal per Cubic meter

Data as of March 2026

Range
Mar 2006 - Mar 2026: -90.600 (-12.40%)
Chart

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

Unit: Qatari Riyal 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 2006730.51-
Apr 2006769.065.28%
May 2006716.28-6.86%
Jun 2006688.62-3.86%
Jul 2006728.515.79%
Aug 2006683.56-6.17%
Sep 2006774.0513.24%
Oct 2006724.14-6.45%
Nov 2006691.09-4.56%
Dec 2006702.561.66%
Jan 2007702.23-0.05%
Feb 2007662.48-5.66%
Mar 2007604.46-8.76%
Apr 2007642.536.30%
May 2007693.497.93%
Jun 2007582.76-15.97%
Jul 2007610.614.78%
Aug 2007588.33-3.65%
Sep 2007647.5210.06%
Oct 2007587.24-9.31%
Nov 2007620.875.73%
Dec 2007564.27-9.12%
Jan 2008572.831.52%
Feb 2008624.198.97%
Mar 2008577.78-7.44%
Apr 2008599.223.71%
May 2008600.890.28%
Jun 2008629.034.68%
Jul 2008590.55-6.12%
Aug 2008608.032.96%
Sep 2008648.906.72%
Oct 2008689.456.25%
Nov 2008716.423.91%
Dec 2008673.33-6.02%
Jan 2009621.68-7.67%
Feb 2009628.371.08%
Mar 2009590.99-5.95%
Apr 2009545.38-7.72%
May 2009511.49-6.21%
Jun 2009516.410.96%
Jul 2009530.712.77%
Aug 2009506.58-4.55%
Sep 2009506.25-0.06%
Oct 2009540.946.85%
Nov 2009460.31-14.90%
Dec 2009518.5512.65%
Jan 2010513.31-1.01%
Feb 2010547.466.65%
Mar 2010565.733.34%
Apr 2010590.844.44%
May 2010578.94-2.01%
Jun 2010592.232.29%
Jul 2010570.28-3.71%
Aug 2010517.79-9.20%
Sep 2010548.265.88%
Oct 2010572.684.45%
Nov 2010588.332.73%
Dec 2010585.20-0.53%
Jan 2011665.0613.65%
Feb 2011606.02-8.88%
Mar 2011603.51-0.41%
Apr 2011662.239.73%
May 2011681.662.94%
Jun 2011673.65-1.17%
Jul 2011609.08-9.59%
Aug 2011606.02-0.50%
Sep 2011585.06-3.46%
Oct 2011562.31-3.89%
Nov 2011605.627.70%
Dec 2011604.86-0.13%
Jan 2012598.27-1.09%
Feb 2012564.71-5.61%
Mar 2012584.443.49%
Apr 2012553.79-5.24%
May 2012575.163.86%
Jun 2012579.270.72%
Jul 2012611.815.62%
Aug 2012566.68-7.38%
Sep 2012592.054.48%
Oct 2012593.030.17%
Nov 2012625.755.52%
Dec 2012595.25-4.87%
Jan 2013615.853.46%
Feb 2013598.78-2.77%
Mar 2013642.687.33%
Apr 2013671.544.49%
May 2013670.31-0.18%
Jun 2013678.021.15%
Jul 2013566.64-16.43%
Aug 2013623.139.97%
Sep 2013613.01-1.62%
Oct 2013641.004.57%
Nov 2013691.167.83%
Dec 2013652.65-5.57%
Jan 2014654.180.23%
Feb 2014705.327.82%
Mar 2014681.81-3.33%
Apr 2014664.77-2.50%
May 2014637.25-4.14%
Jun 2014677.296.28%
Jul 2014642.42-5.15%
Aug 2014644.860.38%
Sep 2014667.983.58%
Oct 2014669.360.21%
Nov 2014695.753.94%
Dec 2014705.911.46%
Jan 2015686.25-2.78%
Feb 2015691.960.83%
Mar 2015686.39-0.80%
Apr 2015684.90-0.22%
May 2015650.03-5.09%
Jun 2015619.71-4.66%
Jul 2015652.515.29%
Aug 2015650.29-0.34%
Sep 2015667.142.59%
Oct 2015647.23-2.98%
Nov 2015617.13-4.65%
Dec 2015656.446.37%
Jan 2016687.454.72%
Feb 2016656.29-4.53%
Mar 2016696.596.14%
Apr 2016661.72-5.01%
May 2016653.38-1.26%
Jun 2016636.93-2.52%
Jul 2016637.580.10%
Aug 2016639.440.29%
Sep 2016684.987.12%
Oct 2016680.57-0.64%
Nov 2016672.85-1.13%
Dec 2016677.800.74%
Jan 2017680.900.46%
Feb 2017626.63-7.97%
Mar 2017678.508.28%
Apr 2017673.84-0.69%
May 2017692.072.71%
Jun 2017691.60-0.07%
Jul 2017655.20-5.26%
Aug 2017706.097.77%
Sep 2017700.70-0.76%
Oct 2017708.231.08%
Nov 2017757.166.91%
Dec 2017759.230.27%
Jan 2018815.697.44%
Feb 2018876.157.41%
Mar 2018833.63-4.85%
Apr 2018788.50-5.41%
May 2018761.78-3.39%
Jun 2018794.794.33%
Jul 2018817.942.91%
Aug 2018721.99-11.73%
Sep 2018703.65-2.54%
Oct 2018746.606.10%
Nov 2018657.31-11.96%
Dec 2018716.649.03%
Jan 2019646.61-9.77%
Feb 2019700.488.33%
Mar 2019697.86-0.37%
Apr 2019639.26-8.40%
May 2019684.617.09%
Jun 2019686.180.23%
Jul 2019677.04-1.33%
Aug 2019705.034.13%
Sep 2019668.45-5.19%
Oct 2019644.03-3.65%
Nov 2019700.128.71%
Dec 2019669.94-4.31%
Jan 2020718.247.21%
Feb 2020740.163.05%
Mar 2020736.59-0.48%
Apr 2020709.58-3.67%
May 2020681.30-3.99%
Jun 2020684.870.52%
Jul 2020700.192.24%
Aug 2020703.030.41%
Sep 2020739.765.22%
Oct 2020735.32-0.60%
Nov 2020861.1517.11%
Dec 2020799.60-7.15%
Jan 2021819.042.43%
Feb 2021793.27-3.15%
Mar 2021838.405.69%
Apr 2021851.801.60%
May 2021858.240.76%
Jun 2021854.74-0.41%
Jul 2021906.406.04%
Aug 2021847.68-6.48%
Sep 2021935.8110.40%
Oct 2021883.10-5.63%
Nov 2021857.26-2.93%
Dec 2021879.682.62%
Jan 2022892.201.42%
Feb 2022981.9610.06%
Mar 20221,073.699.34%
Apr 2022969.88-9.67%
May 20221,079.2211.27%
Jun 20221,044.28-3.24%
Jul 20221,012.98-3.00%
Aug 20221,009.66-0.33%
Sep 2022948.15-6.09%
Oct 2022940.83-0.77%
Nov 2022979.314.09%
Dec 2022900.68-8.03%
Jan 2023855.84-4.98%
Feb 2023808.26-5.56%
Mar 2023800.47-0.96%
Apr 2023768.29-4.02%
May 2023794.323.39%
Jun 2023770.66-2.98%
Jul 2023808.014.85%
Aug 2023757.08-6.30%
Sep 2023782.053.30%
Oct 2023793.851.51%
Nov 2023746.02-6.03%
Dec 2023732.80-1.77%
Jan 2024797.568.84%
Feb 2024745.95-6.47%
Mar 2024718.50-3.68%
Apr 2024737.252.61%
May 2024704.52-4.44%
Jun 2024719.262.09%
Jul 2024685.05-4.76%
Aug 2024651.89-4.84%
Sep 2024707.878.59%
Oct 2024716.501.22%
Nov 2024679.84-5.12%
Dec 2024651.01-4.24%
Jan 2025766.2217.70%
Feb 2025703.36-8.20%
Mar 2025704.920.22%
Apr 2025788.5011.86%
May 2025808.882.59%
Jun 2025769.82-4.83%
Jul 2025765.75-0.53%
Aug 2025802.044.74%
Sep 2025707.32-11.81%
Oct 2025709.290.28%
Nov 2025731.603.15%
Dec 2025697.57-4.65%
Jan 2026639.91-8.27%
Feb 2026639.910.00%
Mar 2026639.910.00%

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