Key takeaways:
- Food manufacturing capacity utilization reached its lowest level in nearly five years, down more than one point from where it was a year ago.
- The industry added capacity several times faster than it added output, so most of the new empty space is from the supply side.
- Among plants running below full capability, most cited too few orders, while labor ranks fifth.
U.S. food manufacturing plants used 83.6% of their capacity in the second quarter of 2026, down from 85.1% a year earlier, according to the Federal Reserve’s capacity utilization series for food manufacturing. The monthly version of the same series inched down to 82.9% in August. Food plants haven’t run that empty since October 2021.
A five-year low isn’t terribly alarming. At 82.9%, food manufacturing is above its 1972 to 2025 average of 82.2%, and well above total manufacturing (75.7% in August). But it’s been trending down.
How does this gradual decline impact the fixed cost under your production lines? And are your monthly operating metrics designed to capture it?
Capacity grew four times faster than output
The capacity index for food manufacturing rose 2.4% between the second quarter of 2025 and the second quarter of 2026. In the same period, output rose 0.6%. In other words, the industry’s capacity grew nearly four times as fast as production.
So if your plant feels emptier, it’s because the industry added space faster than customers filled it.
Plants cited too few orders six times more often than labor
In a second quarter Census Bureau survey, where plants could name more than one reason, 54.8% of food manufacturing plants said insufficient orders kept them from operating at full production capability. Another 17.3% said it wasn’t profitable to run at full capacity, 17.3% cited seasonal operations, and 16.5% reported a lack of materials. Insufficient labor came in at 8.6%.
Note that in manufacturing overall, 22.2% of plants cited a shortage of labor. In food manufacturing, the percentage was less than half that and was down from 13.6% a year earlier.
Cost per case makes a profitable order look like a loss
When capacity utilization falls, traditional cost-per-case metrics skew financial realities. Lower volume spreads fixed overhead across fewer units, raising unit costs. This wrongly suggests plant expenses rose when volume simply declined.
The second, costlier effect happens when fully absorbed cost causes an incremental order priced below that threshold to be rejected as unprofitable. So the line is idle, and its unabsorbed overhead is redistributed to the remaining production.
Divide by available hours to give the idle time a price
Contribution margin per available line-hour addresses both effects. You divide contribution margin (revenue minus the costs that vary with the run) by every hour the line was available rather than by the hours it ran.
Say a line is idle 40 hours a week, and a co-packing run would fill 20 of them at $2,000 an hour in revenue against $1,400 in variable cost. That puts $12,000 of contribution on the table. But if absorbed costing allocates overhead at $700 an hour, the order books a $100-per-hour loss and someone rejects it. Measured per available hour, the same order adds $12,000 that an empty line was never going to earn.
Absorbed cost is what your financial statements run on, so the line-hour number goes beside it as an operating measure rather than replacing the standard cost your auditors expect. That conversation tends to go better with a specific order on the table than as a theory.
The last order you turned away tells you whether to build
Why did the last order you turned away go somewhere else? A fully packed schedule points to a genuine capacity bottleneck, which justifies approving the capital expenditure request. If the price fell below absorbed cost on a line that had open hours, it indicates a measurement issue, and a new line makes it worse by adding fixed cost to a plant already carrying empty time.
Your downtime coding should tell you which one it is, provided it separates no demand from no material from no crew. If it rolls all three into unplanned downtime, there may be a demand problem inside a maintenance review for a year before someone notices.
When capacity continuously outpaces production, setting the rate for an unused hour turns into a pricing challenge long before it transforms into a capital investment decision.Â
