Maple Leaf Foods Reports Q3 2024 Financial Results with Updates on Pork Business Spin-Off

Nov 18, 2024

Maple Leaf Foods has announced its Q3 2024 financial results, including key developments on the planned spin-off of its pork business. The new pork-focused entity, Canada Packers, is set to operate independently by 2025. This strategic move is designed to provide targeted growth opportunities for both Maple Leaf Foods and Canada Packers as separate public companies.

Financial Highlights for Q3 2024:

Adjusted EBITDA for Maple Leaf Foods reached $141 million, marking a 9.1% increase from last year.
Pork Sales Growth: Sales in the pork division increased by 1.1% compared to last year, with improved product mix and foreign exchange benefits, though by-product pricing partially offset gains.
Capital Efficiency: Capital expenditures declined to $26 million, down from $50 million last year, as large-scale projects concluded.

Spin-Off and Future Strategy for Canada Packers

The decision to spin off the pork business aligns with Maple Leaf Foods’ vision to focus on strategic growth within its Prepared Foods segment while allowing Canada Packers to prioritize pork market advancements. Named in honor of Maple Leaf’s historical roots, Canada Packers will enter the market as a standalone entity with a focus on sustainable practices and innovation.

Maple Leaf Foods’ CEO Curtis Frank expressed enthusiasm about the spin-off, underscoring the goal of enhancing shareholder value through operational focus and tax-efficient structuring. The spin-off will be executed as a tax-free reorganization, pending approval from the Canada Revenue Agency.

Source : Swine Web

Video: Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Plant breeding has long been shaped by snapshots. A walk through a plot. A single set of notes. A yield check at the end of the season. But crops do not grow in moments. They change every day.

In this conversation, Gary Nijak of AerialPLOT explains how continuous crop modeling is changing the way breeders see, measure, and select plants by capturing growth, stress, and recovery across the entire season, not just at isolated points in time.

Nijak breaks down why point-in-time observations can miss critical performance signals, how repeated, season-long data collection removes the human bottleneck in breeding, and what becomes possible when every plot is treated as a living data set. He also explores how continuous modeling allows breeding programs to move beyond vague descriptors and toward measurable, repeatable insights that connect directly to on-farm outcomes.

This conversation explores:

• What continuous crop modeling is and how it works

• Why traditional field observations fall short over a full growing season

• How scale and repeated measurement change breeding decisions

• What “digital twins” of plots mean for selection and performance

• Why data, not hardware, is driving the next shift in breeding innovation As data-driven breeding moves from research into real-world programs, this discussion offers a clear look at how seeing the whole season is reshaping value for breeders, seed companies, and farmers, and why this may be only the beginning.