U.S. CPG Manufacturers Are Sitting on Excess Capacity, Which Could Be a Boon for Brands

Why It Matters

The capacity gap creates a strategic opening for emerging CPG brands to scale cost‑effectively, while manufacturers that adapt can capture higher growth and improve margins.

Key Takeaways

• 10% of factories operate at over 50% idle capacity
• 33% of plants have at least 31% unused capacity
• Excess capacity lets brands negotiate lower minimum orders
• Manufacturers adding lines are 2.1× likelier to target 20% growth
• Software and AI upgrades can cut lead times faster than new equipment

Pulse Analysis

The current surplus of manufacturing capacity in the United States is a direct outcome of a boom in plant construction six to eight years ago, when companies capitalized on near‑zero interest rates and generous tax credits. Those investments were made under forecasts of robust post‑pandemic demand, yet the pandemic itself reshaped consumer habits and disrupted global supply chains, leaving many facilities running only one to one‑and‑a‑half shifts per day. As a result, a sizable portion of the nation’s CPG production capability sits idle, creating a rare market imbalance.

For brands, especially new entrants, this imbalance translates into tangible bargaining power. With factories eager to fill idle lines, brands can secure lower minimum order quantities, negotiate more favorable unit prices, and accelerate time‑to‑market without the capital outlay traditionally required for large production runs. This environment lowers barriers to entry, fostering a wave of innovative CPG startups that can test concepts and iterate quickly. Established brands, too, can leverage the slack to diversify suppliers or renegotiate existing contracts, potentially improving margins across product lines.

Manufacturers are not merely passive observers; those that expanded capacity are now 2.1 times more likely to anticipate revenue growth exceeding 20%. However, realizing that potential hinges on operational agility. While adding new machinery entails long lead times for installation and workforce training, software and AI solutions can be deployed swiftly to optimize existing equipment, reduce error rates, and enhance demand forecasting. Coupled with broader macro trends—slowing population growth and the rise of GLP‑1 drugs reshaping consumer preferences—companies that blend capacity flexibility with digital transformation are positioned to capture the next phase of CPG growth.