Soft Logs Monthly Price - Rial Omani per Cubic meter

Data as of March 2026

Range
Apr 2006 - Mar 2026: -13.642 (-16.79%)
Chart

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

Unit: Rial Omani 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
Apr 200681.24-
May 200675.66-6.86%
Jun 200672.74-3.86%
Jul 200676.955.79%
Aug 200672.21-6.17%
Sep 200681.7613.24%
Oct 200676.49-6.45%
Nov 200673.00-4.56%
Dec 200674.211.66%
Jan 200774.18-0.05%
Feb 200769.98-5.66%
Mar 200763.85-8.76%
Apr 200767.876.30%
May 200773.257.93%
Jun 200761.56-15.97%
Jul 200764.504.78%
Aug 200762.15-3.65%
Sep 200768.4010.06%
Oct 200762.03-9.31%
Nov 200765.585.73%
Dec 200759.61-9.12%
Jan 200860.511.52%
Feb 200865.938.97%
Mar 200861.03-7.44%
Apr 200863.303.71%
May 200863.470.28%
Jun 200866.454.68%
Jul 200862.38-6.12%
Aug 200864.232.96%
Sep 200868.546.72%
Oct 200872.836.25%
Nov 200875.683.91%
Dec 200871.12-6.02%
Jan 200965.67-7.67%
Feb 200966.381.08%
Mar 200962.43-5.95%
Apr 200957.61-7.72%
May 200954.03-6.21%
Jun 200954.550.96%
Jul 200956.062.77%
Aug 200953.51-4.55%
Sep 200953.48-0.06%
Oct 200957.146.85%
Nov 200948.62-14.90%
Dec 200954.7812.65%
Jan 201054.22-1.01%
Feb 201057.836.65%
Mar 201059.763.34%
Apr 201062.414.44%
May 201061.15-2.01%
Jun 201062.562.29%
Jul 201060.24-3.71%
Aug 201054.70-9.20%
Sep 201057.915.88%
Oct 201060.494.45%
Nov 201062.152.73%
Dec 201061.82-0.53%
Jan 201170.2513.65%
Feb 201164.02-8.88%
Mar 201163.75-0.41%
Apr 201169.959.73%
May 201172.012.94%
Jun 201171.16-1.17%
Jul 201164.34-9.59%
Aug 201164.02-0.50%
Sep 201161.80-3.46%
Oct 201159.40-3.89%
Nov 201163.977.70%
Dec 201163.89-0.13%
Jan 201263.20-1.09%
Feb 201259.65-5.61%
Mar 201261.743.49%
Apr 201258.50-5.24%
May 201260.753.86%
Jun 201261.190.72%
Jul 201264.635.62%
Aug 201259.86-7.38%
Sep 201262.544.48%
Oct 201262.640.17%
Nov 201266.105.52%
Dec 201262.88-4.87%
Jan 201365.053.46%
Feb 201363.25-2.77%
Mar 201367.897.33%
Apr 201370.944.49%
May 201370.81-0.18%
Jun 201371.621.15%
Jul 201359.86-16.43%
Aug 201365.829.97%
Sep 201364.75-1.62%
Oct 201367.714.57%
Nov 201373.017.83%
Dec 201368.94-5.57%
Jan 201469.100.23%
Feb 201474.507.82%
Mar 201472.02-3.33%
Apr 201470.22-2.50%
May 201467.31-4.14%
Jun 201471.546.28%
Jul 201467.86-5.15%
Aug 201468.120.38%
Sep 201470.563.58%
Oct 201470.710.21%
Nov 201473.493.94%
Dec 201474.571.46%
Jan 201572.49-2.78%
Feb 201573.090.83%
Mar 201572.51-0.80%
Apr 201572.35-0.22%
May 201568.66-5.09%
Jun 201565.46-4.66%
Jul 201568.935.29%
Aug 201568.69-0.34%
Sep 201570.472.59%
Oct 201568.37-2.98%
Nov 201565.19-4.65%
Dec 201569.346.37%
Jan 201672.624.72%
Feb 201669.33-4.53%
Mar 201673.586.14%
Apr 201669.90-5.01%
May 201669.02-1.26%
Jun 201667.28-2.52%
Jul 201667.350.10%
Aug 201667.550.29%
Sep 201672.367.12%
Oct 201671.89-0.64%
Nov 201671.07-1.13%
Dec 201671.600.74%
Jan 201771.920.46%
Feb 201766.19-7.97%
Mar 201771.678.28%
Apr 201771.18-0.69%
May 201773.102.71%
Jun 201773.06-0.07%
Jul 201769.21-5.26%
Aug 201774.597.77%
Sep 201774.02-0.76%
Oct 201774.811.08%
Nov 201779.986.91%
Dec 201780.200.27%
Jan 201886.167.44%
Feb 201892.557.41%
Mar 201888.06-4.85%
Apr 201883.29-5.41%
May 201880.47-3.39%
Jun 201883.964.33%
Jul 201886.402.91%
Aug 201876.27-11.73%
Sep 201874.33-2.54%
Oct 201878.866.10%
Nov 201869.43-11.96%
Dec 201875.709.03%
Jan 201968.30-9.77%
Feb 201973.998.33%
Mar 201973.72-0.37%
Apr 201967.53-8.40%
May 201972.327.09%
Jun 201972.480.23%
Jul 201971.52-1.33%
Aug 201974.474.13%
Sep 201970.61-5.19%
Oct 201968.03-3.65%
Nov 201973.958.71%
Dec 201970.77-4.31%
Jan 202075.877.21%
Feb 202078.183.05%
Mar 202077.81-0.48%
Apr 202074.95-3.67%
May 202071.97-3.99%
Jun 202072.340.52%
Jul 202073.962.24%
Aug 202074.260.41%
Sep 202078.145.22%
Oct 202077.67-0.60%
Nov 202090.9717.11%
Dec 202084.46-7.15%
Jan 202186.522.43%
Feb 202183.79-3.15%
Mar 202188.565.69%
Apr 202189.981.60%
May 202190.660.76%
Jun 202190.29-0.41%
Jul 202195.746.04%
Aug 202189.54-6.48%
Sep 202198.8510.40%
Oct 202193.28-5.63%
Nov 202190.55-2.93%
Dec 202192.922.62%
Jan 202294.241.42%
Feb 2022103.7310.06%
Mar 2022113.429.34%
Apr 2022102.45-9.67%
May 2022114.0011.27%
Jun 2022110.31-3.24%
Jul 2022107.00-3.00%
Aug 2022106.65-0.33%
Sep 2022100.15-6.09%
Oct 202299.38-0.77%
Nov 2022103.454.09%
Dec 202295.14-8.03%
Jan 202390.40-4.98%
Feb 202385.38-5.56%
Mar 202384.56-0.96%
Apr 202381.16-4.02%
May 202383.913.39%
Jun 202381.41-2.98%
Jul 202385.354.85%
Aug 202379.97-6.30%
Sep 202382.613.30%
Oct 202383.861.51%
Nov 202378.80-6.03%
Dec 202377.41-1.77%
Jan 202484.258.84%
Feb 202478.80-6.47%
Mar 202475.90-3.68%
Apr 202477.882.61%
May 202474.42-4.44%
Jun 202475.982.09%
Jul 202472.36-4.76%
Aug 202468.86-4.84%
Sep 202474.778.59%
Oct 202475.681.22%
Nov 202471.81-5.12%
Dec 202468.77-4.24%
Jan 202580.9417.70%
Feb 202574.30-8.20%
Mar 202574.460.22%
Apr 202583.2911.86%
May 202585.442.59%
Jun 202581.32-4.83%
Jul 202580.89-0.53%
Aug 202584.724.74%
Sep 202574.72-11.81%
Oct 202574.920.28%
Nov 202577.283.15%
Dec 202573.69-4.65%
Jan 202667.60-8.27%
Feb 202667.600.00%
Mar 202667.600.00%

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