Soft Logs Monthly Price - Forint per Cubic meter

Data as of March 2026

Range
Oct 2003 - Jan 2019: 16,172.210 (47.90%)
Chart

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

Unit: Forint 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
Oct 200333,762.80-
Nov 200333,132.89-1.87%
Dec 200332,622.67-1.54%
Jan 200436,082.7210.61%
Feb 200436,992.362.52%
Mar 200434,845.07-5.80%
Apr 200439,357.2212.95%
May 200438,842.88-1.31%
Jun 200438,227.56-1.58%
Jul 200438,092.15-0.35%
Aug 200439,010.782.41%
Sep 200437,866.98-2.93%
Oct 200435,090.14-7.33%
Nov 200433,295.80-5.11%
Dec 200434,150.412.57%
Jan 200535,393.173.64%
Feb 200534,541.24-2.41%
Mar 200533,598.38-2.73%
Apr 200536,497.058.63%
May 200535,278.12-3.34%
Jun 200536,978.834.82%
Jul 200538,664.814.56%
Aug 200538,200.04-1.20%
Sep 200537,943.20-0.67%
Oct 200539,841.115.00%
Nov 200540,368.821.32%
Dec 200540,954.591.45%
Jan 200642,030.522.63%
Feb 200640,661.02-3.26%
Mar 200643,524.377.04%
Apr 200645,704.095.01%
May 200640,438.76-11.52%
Jun 200640,653.610.53%
Jul 200643,792.067.72%
Aug 200640,184.29-8.24%
Sep 200645,869.8214.15%
Oct 200642,141.46-8.13%
Nov 200638,161.76-9.44%
Dec 200637,108.91-2.76%
Jan 200737,715.861.64%
Feb 200735,283.89-6.45%
Mar 200731,342.58-11.17%
Apr 200732,140.672.55%
May 200735,025.388.98%
Jun 200729,889.68-14.66%
Jul 200730,187.981.00%
Aug 200730,278.810.30%
Sep 200732,454.527.19%
Oct 200728,441.10-12.37%
Nov 200729,533.173.84%
Dec 200726,952.05-8.74%
Jan 200827,399.621.66%
Feb 200830,470.2811.21%
Mar 200826,597.43-12.71%
Apr 200826,508.53-0.33%
May 200826,227.74-1.06%
Jun 200826,944.702.73%
Jul 200823,859.58-11.45%
Aug 200826,301.1210.23%
Sep 200829,848.2313.49%
Oct 200836,599.5222.62%
Nov 200840,981.0711.97%
Dec 200836,399.90-11.18%
Jan 200936,155.30-0.67%
Feb 200940,281.9111.41%
Mar 200937,918.00-5.87%
Apr 200933,517.04-11.61%
May 200929,029.18-13.39%
Jun 200928,412.37-2.12%
Jul 200928,179.21-0.82%
Aug 200926,316.46-6.61%
Sep 200925,985.14-1.26%
Oct 200926,958.703.75%
Nov 200922,964.59-14.82%
Dec 200926,605.2915.85%
Jan 201026,590.38-0.06%
Feb 201029,811.1212.11%
Mar 201030,411.312.01%
Apr 201032,083.555.50%
May 201034,915.248.83%
Jun 201037,470.997.32%
Jul 201034,812.07-7.10%
Aug 201030,967.18-11.04%
Sep 201032,472.994.86%
Oct 201031,083.69-4.28%
Nov 201032,339.294.04%
Dec 201033,716.614.26%
Jan 201137,681.5611.76%
Feb 201133,077.71-12.22%
Mar 201132,026.32-3.18%
Apr 201133,398.444.28%
May 201134,792.634.17%
Jun 201134,296.03-1.43%
Jul 201131,397.13-8.45%
Aug 201131,583.520.59%
Sep 201133,303.185.44%
Oct 201133,455.000.46%
Nov 201137,924.4813.36%
Dec 201138,365.491.16%
Jan 201239,026.381.72%
Feb 201234,076.73-12.68%
Mar 201235,477.104.11%
Apr 201234,184.82-3.64%
May 201236,144.475.73%
Jun 201237,300.293.20%
Jul 201239,196.985.08%
Aug 201234,993.11-10.72%
Sep 201235,897.972.59%
Oct 201235,421.16-1.33%
Nov 201237,972.197.20%
Dec 201235,572.20-6.32%
Jan 201337,393.275.12%
Feb 201335,974.05-3.80%
Mar 201341,304.6414.82%
Apr 201342,346.162.52%
May 201341,509.89-1.97%
Jun 201341,768.160.62%
Jul 201335,061.55-16.06%
Aug 201338,499.959.81%
Sep 201337,842.85-1.71%
Oct 201338,085.570.64%
Nov 201341,907.0410.03%
Dec 201339,398.48-5.99%
Jan 201439,869.711.20%
Feb 201444,019.9110.41%
Mar 201442,241.53-4.04%
Apr 201440,636.65-3.80%
May 201438,793.21-4.54%
Jun 201441,879.397.96%
Jul 201440,364.87-3.62%
Aug 201441,743.323.41%
Sep 201444,551.866.73%
Oct 201444,649.500.22%
Nov 201447,043.275.36%
Dec 201448,792.593.72%
Jan 201551,389.515.32%
Feb 201551,397.230.02%
Mar 201552,829.002.79%
Apr 201552,315.44-0.97%
May 201548,991.92-6.35%
Jun 201547,392.18-3.27%
Jul 201550,742.877.07%
Aug 201549,984.30-1.49%
Sep 201551,041.832.12%
Oct 201549,270.71-3.47%
Nov 201549,245.75-0.05%
Dec 201552,117.235.83%
Jan 201654,723.585.00%
Feb 201650,426.48-7.85%
Mar 201653,675.866.44%
Apr 201649,945.07-6.95%
May 201649,872.55-0.15%
Jun 201648,841.09-2.07%
Jul 201649,780.471.92%
Aug 201648,635.28-2.30%
Sep 201651,804.366.52%
Oct 201652,059.430.49%
Nov 201652,758.521.34%
Dec 201655,075.804.39%
Jan 201754,410.91-1.21%
Feb 201749,903.70-8.28%
Mar 201754,004.188.22%
Apr 201753,765.53-0.44%
May 201753,377.37-0.72%
Jun 201752,193.86-2.22%
Jul 201747,966.90-8.10%
Aug 201749,965.724.17%
Sep 201749,828.24-0.28%
Oct 201751,243.082.84%
Nov 201755,293.667.90%
Dec 201755,213.21-0.15%
Jan 201856,893.763.04%
Feb 201860,720.006.73%
Mar 201858,008.48-4.47%
Apr 201854,988.45-5.21%
May 201855,983.341.81%
Jun 201860,342.587.79%
Jul 201862,444.983.48%
Aug 201855,457.49-11.19%
Sep 201853,813.84-2.96%
Oct 201857,839.287.48%
Nov 201851,277.39-11.35%
Dec 201855,839.608.90%
Jan 201949,935.02-10.57%

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