Soft Logs Monthly Price - New Zealand Dollar per Cubic meter

Data as of March 2026

Range
Apr 2011 - Mar 2026: 68.633 (29.64%)
Chart

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

Unit: New Zealand Dollar 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 2011231.56-
May 2011235.611.75%
Jun 2011227.08-3.62%
Jul 2011197.62-12.98%
Aug 2011198.670.53%
Sep 2011197.90-0.39%
Oct 2011195.93-1.00%
Nov 2011214.549.50%
Dec 2011216.000.68%
Jan 2012205.31-4.95%
Feb 2012186.02-9.40%
Mar 2012195.645.17%
Apr 2012185.76-5.05%
May 2012203.199.38%
Jun 2012204.060.43%
Jul 2012210.673.23%
Aug 2012192.24-8.75%
Sep 2012198.833.42%
Oct 2012198.74-0.04%
Nov 2012209.815.57%
Dec 2012196.35-6.41%
Jan 2013202.012.88%
Feb 2013196.02-2.97%
Mar 2013213.348.84%
Apr 2013217.772.07%
May 2013222.652.24%
Jun 2013235.605.81%
Jul 2013197.26-16.27%
Aug 2013216.119.56%
Sep 2013207.09-4.18%
Oct 2013210.901.84%
Nov 2013229.378.76%
Dec 2013217.97-4.97%
Jan 2014217.02-0.44%
Feb 2014234.107.87%
Mar 2014219.96-6.04%
Apr 2014211.87-3.68%
May 2014203.28-4.05%
Jun 2014216.076.29%
Jul 2014203.03-6.03%
Aug 2014210.043.45%
Sep 2014225.047.14%
Oct 2014233.603.80%
Nov 2014244.214.54%
Dec 2014249.782.28%
Jan 2015247.14-1.06%
Feb 2015255.613.43%
Mar 2015252.39-1.26%
Apr 2015248.21-1.66%
May 2015241.43-2.73%
Jun 2015243.620.91%
Jul 2015269.6410.68%
Aug 2015272.781.17%
Sep 2015289.186.01%
Oct 2015266.72-7.77%
Nov 2015258.25-3.17%
Dec 2015267.723.67%
Jan 2016289.368.08%
Feb 2016271.83-6.06%
Mar 2016284.634.71%
Apr 2016263.79-7.32%
May 2016263.65-0.05%
Jun 2016248.96-5.57%
Jul 2016246.05-1.17%
Aug 2016243.03-1.23%
Sep 2016257.335.88%
Oct 2016261.201.50%
Nov 2016257.94-1.25%
Dec 2016264.242.44%
Jan 2017263.57-0.25%
Feb 2017238.29-9.59%
Mar 2017265.7611.53%
Apr 2017265.43-0.13%
May 2017274.293.34%
Jun 2017263.16-4.06%
Jul 2017245.08-6.87%
Aug 2017265.148.19%
Sep 2017265.520.14%
Oct 2017275.183.64%
Nov 2017301.959.73%
Dec 2017300.03-0.63%
Jan 2018309.213.06%
Feb 2018329.426.54%
Mar 2018315.44-4.24%
Apr 2018298.50-5.37%
May 2018301.010.84%
Jun 2018314.644.53%
Jul 2018331.005.20%
Aug 2018297.38-10.16%
Sep 2018293.14-1.42%
Oct 2018313.907.08%
Nov 2018267.16-14.89%
Dec 2018288.057.82%
Jan 2019262.09-9.01%
Feb 2019281.687.47%
Mar 2019280.64-0.37%
Apr 2019260.95-7.02%
May 2019286.569.82%
Jun 2019285.77-0.28%
Jul 2019278.17-2.66%
Aug 2019300.968.19%
Sep 2019289.38-3.85%
Oct 2019279.46-3.43%
Nov 2019300.717.60%
Dec 2019279.96-6.90%
Jan 2020298.686.69%
Feb 2020318.076.49%
Mar 2020335.065.34%
Apr 2020325.26-2.92%
May 2020307.66-5.41%
Jun 2020291.89-5.13%
Jul 2020291.890.00%
Aug 2020292.850.33%
Sep 2020304.814.09%
Oct 2020304.66-0.05%
Nov 2020346.0013.57%
Dec 2020310.70-10.20%
Jan 2021312.600.61%
Feb 2021300.82-3.77%
Mar 2021322.477.20%
Apr 2021328.451.85%
May 2021326.71-0.53%
Jun 2021330.171.06%
Jul 2021356.668.02%
Aug 2021334.41-6.24%
Sep 2021364.849.10%
Oct 2021344.44-5.59%
Nov 2021334.51-2.88%
Dec 2021356.656.62%
Jan 2022363.681.97%
Feb 2022404.6411.26%
Mar 2022430.066.28%
Apr 2022393.01-8.61%
May 2022463.5917.96%
Jun 2022450.90-2.74%
Jul 2022448.67-0.49%
Aug 2022442.87-1.29%
Sep 2022438.44-1.00%
Oct 2022454.883.75%
Nov 2022446.52-1.84%
Dec 2022389.16-12.85%
Jan 2023367.29-5.62%
Feb 2023352.43-4.05%
Mar 2023354.670.63%
Apr 2023339.76-4.20%
May 2023350.663.21%
Jun 2023345.43-1.49%
Jul 2023356.343.16%
Aug 2023346.68-2.71%
Sep 2023362.684.61%
Oct 2023369.351.84%
Nov 2023343.03-7.13%
Dec 2023325.13-5.22%
Jan 2024355.179.24%
Feb 2024334.46-5.83%
Mar 2024324.21-3.06%
Apr 2024339.684.77%
May 2024319.64-5.90%
Jun 2024321.740.66%
Jul 2024312.40-2.90%
Aug 2024294.65-5.68%
Sep 2024312.756.14%
Oct 2024322.973.27%
Nov 2024315.86-2.20%
Dec 2024308.99-2.18%
Jan 2025373.6120.91%
Feb 2025340.43-8.88%
Mar 2025338.37-0.61%
Apr 2025373.3710.35%
May 2025374.640.34%
Jun 2025350.80-6.36%
Jul 2025350.66-0.04%
Aug 2025373.386.48%
Sep 2025329.93-11.64%
Oct 2025337.942.43%
Nov 2025356.065.36%
Dec 2025331.66-6.85%
Jan 2026304.82-8.09%
Feb 2026292.37-4.08%
Mar 2026300.192.67%

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