Soft Logs Monthly Price - Russian Ruble per Cubic meter

Data as of March 2026

Range
May 2003 - Apr 2013: 1,076.000 (22.87%)
Chart

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

Unit: Russian Ruble 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
May 20034,705.23-
Jun 20034,666.15-0.83%
Jul 20034,388.37-5.95%
Aug 20034,702.797.16%
Sep 20034,509.73-4.11%
Oct 20034,658.063.29%
Nov 20034,454.02-4.38%
Dec 20034,448.83-0.12%
Jan 20044,963.1511.56%
Feb 20045,070.732.17%
Mar 20044,811.42-5.11%
Apr 20045,423.6412.72%
May 20045,346.74-1.42%
Jun 20045,324.18-0.42%
Jul 20045,441.662.21%
Aug 20045,587.292.68%
Sep 20045,460.39-2.27%
Oct 20045,149.83-5.69%
Nov 20045,033.89-2.25%
Dec 20045,193.173.16%
Jan 20055,285.441.78%
Feb 20055,158.01-2.41%
Mar 20055,006.06-2.95%
Apr 20055,294.695.77%
May 20054,975.54-6.03%
Jun 20055,153.243.57%
Jul 20055,423.845.25%
Aug 20055,469.960.85%
Sep 20055,368.66-1.85%
Oct 20055,434.991.24%
Nov 20055,453.390.34%
Dec 20055,539.351.58%
Jan 20065,718.403.23%
Feb 20065,443.35-4.81%
Mar 20065,590.142.70%
Apr 20065,822.404.15%
May 20065,321.81-8.60%
Jun 20065,105.00-4.07%
Jul 20065,386.895.52%
Aug 20065,024.89-6.72%
Sep 20065,687.7813.19%
Oct 20065,344.18-6.04%
Nov 20065,050.44-5.50%
Dec 20065,073.060.45%
Jan 20075,118.200.89%
Feb 20074,790.64-6.40%
Mar 20074,335.53-9.50%
Apr 20074,554.315.05%
May 20074,919.358.02%
Jun 20074,149.27-15.65%
Jul 20074,284.493.26%
Aug 20074,142.13-3.32%
Sep 20074,489.198.38%
Oct 20074,014.94-10.56%
Nov 20074,170.943.89%
Dec 20073,809.61-8.66%
Jan 20083,854.891.19%
Feb 20084,202.319.01%
Mar 20083,767.52-10.35%
Apr 20083,871.782.77%
May 20083,916.871.16%
Jun 20084,084.694.28%
Jul 20083,788.05-7.26%
Aug 20084,040.426.66%
Sep 20084,505.7011.52%
Oct 20085,006.3811.11%
Nov 20085,385.187.57%
Dec 20085,213.46-3.19%
Jan 20095,606.967.55%
Feb 20096,182.6410.27%
Mar 20095,615.73-9.17%
Apr 20095,027.33-10.48%
May 20094,488.67-10.71%
Jun 20094,406.07-1.84%
Jul 20094,594.624.28%
Aug 20094,409.23-4.03%
Sep 20094,279.97-2.93%
Oct 20094,374.962.22%
Nov 20093,656.18-16.43%
Dec 20094,279.3417.04%
Jan 20104,204.60-1.75%
Feb 20104,537.367.91%
Mar 20104,593.671.24%
Apr 20104,737.123.12%
May 20104,852.002.43%
Jun 20105,076.064.62%
Jul 20104,802.44-5.39%
Aug 20104,324.45-9.95%
Sep 20104,640.037.30%
Oct 20104,773.062.87%
Nov 20105,000.284.76%
Dec 20104,960.09-0.80%
Jan 20115,476.7610.42%
Feb 20114,874.90-10.99%
Mar 20114,714.39-3.29%
Apr 20115,105.588.30%
May 20115,230.392.44%
Jun 20115,178.63-0.99%
Jul 20114,671.80-9.79%
Aug 20114,787.322.47%
Sep 20114,947.553.35%
Oct 20114,828.71-2.40%
Nov 20115,127.516.19%
Dec 20115,235.692.11%
Jan 20125,127.51-2.07%
Feb 20124,626.35-9.77%
Mar 20124,710.311.81%
Apr 20124,487.72-4.73%
May 20124,863.918.38%
Jun 20125,234.387.62%
Jul 20125,466.814.44%
Aug 20124,976.62-8.97%
Sep 20125,109.672.67%
Oct 20125,065.82-0.86%
Nov 20125,402.896.65%
Dec 20125,029.81-6.91%
Jan 20135,115.831.71%
Feb 20134,963.51-2.98%
Mar 20135,439.469.59%
Apr 20135,781.236.28%

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