Soft Sawnwood Monthly Price - Swiss Franc per Metric Ton

Data as of March 2026

Range
Apr 2011 - Mar 2026: -7.244 (-2.94%)
Chart

Description: Soft Sawnwood, average export price of Douglas Fir, U.S. Price, Swiss Franc per Metric Ton

Unit: Swiss Franc per Metric Ton



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 sawnwood is dimension lumber cut from softwood species such as pine, spruce, fir, and spruce-pine-fir mixes. It is typically priced by volume, with market quotations commonly expressed in US dollars per cubic meter. In commodity references, a widely used benchmark is the average export price from the United States, which reflects tradeable grades rather than retail lumber sold to end users. Soft sawnwood is a standardized industrial material used in structural framing, roof trusses, flooring substructures, pallets, packaging, and general construction. It is distinct from hardwood lumber because it is generally lighter, easier to machine, and more closely tied to mass housing and repair-and-remodel activity. Pricing is influenced by grade, moisture content, dimensions, and whether the product is kiln-dried or green. Because lumber is bulky and costly to transport relative to value, regional supply chains and freight access play an important role in market formation.

Supply Drivers

Soft sawnwood supply is shaped by forest biology, harvesting cycles, and mill capacity. Major producing regions include Canada, the United States, Scandinavia, and parts of Russia and Central Europe, where conifer forests are extensive and suited to mechanized harvesting. Unlike annual crops, timber supply depends on long growth cycles, so output responds slowly to changes in planting, thinning, and final harvest decisions. Weather affects both forest growth and logging access: drought, storms, wildfire, insect outbreaks, and freeze-thaw conditions can disrupt standing timber availability and transport. Insect and disease pressure can also alter the quality mix of logs available to mills.

Processing capacity is another constraint. Sawmills require steady log flows, energy, labor, and capital-intensive equipment, so outages or maintenance can tighten supply even when timber is available. Transport bottlenecks matter because logs and lumber are heavy and low-value relative to freight cost; rail, truck, and port access shape export competitiveness. Regional housing cycles can also affect sawmill utilization, since mills often adjust output to match construction demand and inventory conditions. Because lumber can be stored only for limited periods without quality loss, producers manage production around seasonal logging conditions and downstream demand.

Demand Drivers

Demand for soft sawnwood is driven primarily by residential construction, renovation, and light industrial uses. Structural framing in houses and low-rise buildings is the largest end use in many markets, especially where wood-frame construction is common. Demand also comes from pallets, crates, packaging, and temporary works, which link lumber consumption to manufacturing, logistics, and trade flows. In colder climates, seasonal building patterns often create stronger demand during construction seasons, while repair-and-remodel activity provides a steadier baseline.

Substitution plays an important role. Soft sawnwood competes with steel, concrete, engineered wood products, and in some applications plastic or composite materials. Wood-frame construction is favored where labor practices, building codes, and material costs support it, while engineered products can replace some dimensional lumber in structural applications. Demand is also influenced by population growth, household formation, and income conditions because housing starts and home improvement spending respond to broader economic cycles. In packaging and pallets, demand is tied to goods movement and manufacturing output rather than housing alone. Building codes, fire standards, and efficiency requirements shape the mix of wood products used, but the basic role of soft sawnwood as a versatile structural material remains persistent.

Macro and Financial Drivers

Soft sawnwood prices are sensitive to general economic activity because construction and industrial packaging are cyclical. A stronger US dollar can affect export competitiveness by making US lumber more expensive in foreign-currency terms, while a weaker dollar can support export demand. Interest rates matter because housing and construction are credit-sensitive; higher borrowing costs typically reduce building activity and lumber consumption through the financing channel. Storage and financing costs also influence market structure: lumber is bulky, degrades if poorly stored, and ties up working capital, so inventories are costly to carry. This can produce periods of backwardation when nearby supply is tight or contango when inventories are ample. Lumber prices may also correlate with broader cyclical assets through their link to construction, manufacturing, and freight conditions, though the relationship is driven by physical demand rather than financial speculation alone.

MonthPriceChange
Apr 2011246.48-
May 2011250.461.61%
Jun 2011245.84-1.84%
Jul 2011253.112.96%
Aug 2011248.83-1.69%
Sep 2011267.587.54%
Oct 2011280.294.75%
Nov 2011285.711.93%
Dec 2011276.39-3.26%
Jan 2012292.165.71%
Feb 2012289.16-1.03%
Mar 2012275.70-4.66%
Apr 2012292.576.12%
May 2012310.766.22%
Jun 2012305.29-1.76%
Jul 2012306.290.33%
Aug 2012313.192.25%
Sep 2012304.00-2.94%
Oct 2012293.68-3.40%
Nov 2012306.974.53%
Dec 2012276.05-10.07%
Jan 2013279.241.16%
Feb 2013280.530.46%
Mar 2013295.085.19%
Apr 2013303.402.82%
May 2013342.3412.84%
Jun 2013331.01-3.31%
Jul 2013329.77-0.38%
Aug 2013320.21-2.90%
Sep 2013304.96-4.76%
Oct 2013292.81-3.98%
Nov 2013303.713.72%
Dec 2013316.154.10%
Jan 2014305.84-3.26%
Feb 2014305.07-0.25%
Mar 2014312.442.41%
Apr 2014294.68-5.68%
May 2014294.08-0.20%
Jun 2014297.361.12%
Jul 2014289.23-2.73%
Aug 2014291.100.65%
Sep 2014306.795.39%
Oct 2014301.84-1.61%
Nov 2014325.477.83%
Dec 2014331.111.73%
Jan 2015330.81-0.09%
Feb 2015315.48-4.63%
Mar 2015315.37-0.03%
Apr 2015324.873.01%
May 2015308.10-5.16%
Jun 2015285.72-7.27%
Jul 2015287.620.67%
Aug 2015297.463.42%
Sep 2015295.40-0.69%
Oct 2015298.180.94%
Nov 2015317.416.45%
Dec 2015293.99-7.38%
Jan 2016316.767.75%
Feb 2016325.502.76%
Mar 2016309.93-4.78%
Apr 2016311.350.46%
May 2016324.714.29%
Jun 2016320.69-1.24%
Jul 2016315.12-1.74%
Aug 2016312.76-0.75%
Sep 2016325.474.07%
Oct 2016326.500.32%
Nov 2016325.27-0.38%
Dec 2016329.651.35%
Jan 2017321.54-2.46%
Feb 2017312.94-2.67%
Mar 2017294.79-5.80%
Apr 2017316.607.40%
May 2017313.44-1.00%
Jun 2017319.551.95%
Jul 2017316.05-1.10%
Aug 2017309.97-1.92%
Sep 2017300.96-2.91%
Oct 2017319.046.01%
Nov 2017332.164.11%
Dec 2017323.17-2.71%
Jan 2018331.372.54%
Feb 2018315.33-4.84%
Mar 2018318.711.07%
Apr 2018320.560.58%
May 2018347.308.34%
Jun 2018352.651.54%
Jul 2018351.44-0.34%
Aug 2018333.60-5.08%
Sep 2018331.44-0.65%
Oct 2018334.490.92%
Nov 2018341.071.97%
Dec 2018367.247.67%
Jan 2019354.09-3.58%
Feb 2019343.02-3.12%
Mar 2019346.180.92%
Apr 2019337.36-2.55%
May 2019369.969.66%
Jun 2019349.81-5.45%
Jul 2019352.060.64%
Aug 2019360.402.37%
Sep 2019360.05-0.10%
Oct 2019346.33-3.81%
Nov 2019361.654.42%
Dec 2019338.16-6.50%
Jan 2020354.504.83%
Feb 2020329.59-7.03%
Mar 2020346.635.17%
Apr 2020347.580.27%
May 2020344.12-0.99%
Jun 2020333.53-3.08%
Jul 2020312.45-6.32%
Aug 2020307.35-1.63%
Sep 2020303.17-1.36%
Oct 2020320.175.61%
Nov 2020327.742.36%
Dec 2020293.41-10.48%
Jan 2021313.786.94%
Feb 2021299.50-4.55%
Mar 2021341.4614.01%
Apr 2021364.656.79%
May 2021380.614.38%
Jun 2021396.394.15%
Jul 2021338.68-14.56%
Aug 2021302.24-10.76%
Sep 2021271.76-10.08%
Oct 2021286.755.52%
Nov 2021285.78-0.34%
Dec 2021291.081.86%
Jan 2022301.103.44%
Feb 2022312.323.73%
Mar 2022433.1038.67%
Apr 2022417.83-3.53%
May 2022423.061.25%
Jun 2022404.87-4.30%
Jul 2022389.04-3.91%
Aug 2022411.865.86%
Sep 2022393.99-4.34%
Oct 2022386.79-1.83%
Nov 2022374.32-3.22%
Dec 2022342.38-8.53%
Jan 2023284.26-16.97%
Feb 2023306.937.97%
Mar 2023287.20-6.43%
Apr 2023271.51-5.46%
May 2023305.2112.41%
Jun 2023282.50-7.44%
Jul 2023277.86-1.64%
Aug 2023283.872.16%
Sep 2023301.636.26%
Oct 2023287.56-4.66%
Nov 2023271.59-5.56%
Dec 2023274.160.95%
Jan 2024287.654.92%
Feb 2024287.760.04%
Mar 2024303.385.43%
Apr 2024287.74-5.15%
May 2024295.962.85%
Jun 2024274.92-7.11%
Jul 2024275.800.32%
Aug 2024261.65-5.13%
Sep 2024279.246.72%
Oct 2024251.29-10.01%
Nov 2024270.827.77%
Dec 2024315.2716.42%
Jan 2025285.48-9.45%
Feb 2025305.557.03%
Mar 2025293.77-3.86%
Apr 2025266.72-9.21%
May 2025269.891.19%
Jun 2025274.061.54%
Jul 2025269.49-1.67%
Aug 2025253.80-5.82%
Sep 2025239.24-5.74%
Oct 2025221.05-7.61%
Nov 2025233.125.46%
Dec 2025233.360.10%
Jan 2026242.263.81%
Feb 2026235.16-2.93%
Mar 2026239.241.73%

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