U.S. Soybean Crushing Hits Record, Surpasses 2025 Forecast by 15.7%

In June, U.S. soybean crushing volumes surpassed market forecasts, reaching record levels according to NOPA data.

June Crushing Surge Outpaces Projections

Producers crushed 214,340 million bushels in June, a %2.7 increase over May’s 208,785 million bushels. Daily crushing averaged 7,145 million bushels, up from May’s 6,735 million. Compared with June 2025, volumes rose %15.7.

■214,340 million bushels total (May: 208,785 million)

■Daily average 7,145 million bushels (May: 6,735 million)

■%15.7 increase versus June 2025

Processor Capacity and Operational Updates

NOPA members represent almost the entire U.S. soybean processing capacity, and the June report highlighted a new production unit at an existing plant in Gilman, Illinois.

■NOPA members control 99% of capacity

■New unit added in Gilman, Illinois, boosting overall capacity

Demand and Margins: Market Dynamics

Strong crushing margins and solid demand for soybean products prompted processors to push output to the maximum at operating facilities. Temporary shutdowns in April for maintenance caused short‑term production dips.

■Margins high, demand stable

■April maintenance led to temporary closures

Strategic Implications and Outlook

Processors aim to maintain price stability by maximizing output to meet rising demand. Analysts forecast a 3‑5% increase in crushing rates for the next quarter.

■Maximized production to preserve price stability

■Expected 3‑5% quarterly crushing growth

The market views this unexpected surge as a pivotal point for both supply and demand sides of the soybean sector. Elevated crushing margins enhance profitability for U.S. soybean‑derived products while tempering price volatility in global supply chains. Over the longer term, capacity expansions by processors are likely to bolster U.S. soybean exports, positively influencing trade balances. For fintech and banking, integrating such granular agricultural data into digital payment and risk‑analytics platforms can refine credit scoring models and improve risk assessment precision.