Soft Logs Monthly Price - Nuevo Sol per Cubic meter

Data as of March 2026

Range
Apr 2016 - Mar 2026: 3.993 (0.67%)
Chart

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

Unit: Nuevo Sol 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 2016599.99-
May 2016597.12-0.48%
Jun 2016579.50-2.95%
Jul 2016578.27-0.21%
Aug 2016584.581.09%
Sep 2016635.478.71%
Oct 2016632.94-0.40%
Nov 2016628.21-0.75%
Dec 2016632.380.66%
Jan 2017626.34-0.95%
Feb 2017561.59-10.34%
Mar 2017607.798.23%
Apr 2017600.90-1.13%
May 2017621.963.50%
Jun 2017620.54-0.23%
Jul 2017584.54-5.80%
Aug 2017628.497.52%
Sep 2017624.51-0.63%
Oct 2017632.001.20%
Nov 2017673.796.61%
Dec 2017676.710.43%
Jan 2018720.216.43%
Feb 2018781.438.50%
Mar 2018744.46-4.73%
Apr 2018699.45-6.05%
May 2018684.93-2.08%
Jun 2018713.804.21%
Jul 2018735.613.06%
Aug 2018651.90-11.38%
Sep 2018639.72-1.87%
Oct 2018683.466.84%
Nov 2018609.15-10.87%
Dec 2018661.558.60%
Jan 2019593.85-10.23%
Feb 2019638.897.58%
Mar 2019633.28-0.88%
Apr 2019580.03-8.41%
May 2019626.187.96%
Jun 2019626.10-0.01%
Jul 2019611.33-2.36%
Aug 2019653.656.92%
Sep 2019615.57-5.83%
Oct 2019594.09-3.49%
Nov 2019647.228.94%
Dec 2019618.35-4.46%
Jan 2020655.866.07%
Feb 2020688.544.98%
Mar 2020707.372.73%
Apr 2020662.66-6.32%
May 2020639.43-3.51%
Jun 2020651.971.96%
Jul 2020675.603.62%
Aug 2020687.891.82%
Sep 2020722.204.99%
Oct 2020726.590.61%
Nov 2020853.5817.48%
Dec 2020789.29-7.53%
Jan 2021815.173.28%
Feb 2021793.96-2.60%
Mar 2021853.767.53%
Apr 2021865.761.41%
May 2021889.192.71%
Jun 2021916.483.07%
Jul 2021981.017.04%
Aug 2021950.60-3.10%
Sep 20211,055.4511.03%
Oct 2021971.90-7.92%
Nov 2021944.87-2.78%
Dec 2021980.543.78%
Jan 2022953.67-2.74%
Feb 20221,021.487.11%
Mar 20221,102.297.91%
Apr 2022996.46-9.60%
May 20221,116.4712.04%
Jun 20221,072.91-3.90%
Jul 20221,084.851.11%
Aug 20221,073.84-1.01%
Sep 20221,013.52-5.62%
Oct 20221,027.501.38%
Nov 20221,043.831.59%
Dec 2022947.48-9.23%
Jan 2023900.16-4.99%
Feb 2023852.61-5.28%
Mar 2023830.74-2.57%
Apr 2023794.14-4.41%
May 2023804.491.30%
Jun 2023772.99-3.92%
Jul 2023797.063.11%
Aug 2023768.07-3.64%
Sep 2023800.854.27%
Oct 2023837.864.62%
Nov 2023771.47-7.92%
Dec 2023752.83-2.42%
Jan 2024818.428.71%
Feb 2024784.40-4.16%
Mar 2024731.96-6.69%
Apr 2024750.422.52%
May 2024721.26-3.89%
Jun 2024748.053.71%
Jul 2024706.99-5.49%
Aug 2024669.28-5.33%
Sep 2024732.789.49%
Oct 2024737.870.69%
Nov 2024705.96-4.32%
Dec 2024666.78-5.55%
Jan 2025787.4118.09%
Feb 2025714.05-9.32%
Mar 2025706.36-1.08%
Apr 2025800.2513.29%
May 2025812.931.58%
Jun 2025761.62-6.31%
Jul 2025747.11-1.91%
Aug 2025779.864.38%
Sep 2025680.00-12.80%
Oct 2025665.03-2.20%
Nov 2025677.251.84%
Dec 2025644.36-4.86%
Jan 2026590.00-8.44%
Feb 2026589.46-0.09%
Mar 2026603.982.46%

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