US Farmers: Make Crop Pricing Decisions with Data, Not Gut Feeling
Most US farmers sell crops based on habit or urgency rather than data. AskBiz analyses your input costs, local basis prices, and storage economics to tell you the best week to sell.
- The pricing problem
- How AskBiz helps
- Real scenario: a soybean farm in Illinois
- Beyond grain
The pricing problem#
A corn farmer in Iowa faces dozens of selling opportunities between harvest and the following summer. Futures prices, local basis, storage costs, and interest on operating loans all interact to create an optimal selling window — but calculating it manually is nearly impossible. USDA data shows that the average US grain farmer captures only 85 percent of the maximum available price in any given marketing year, leaving significant revenue on the table.
How AskBiz helps#
Upload your production costs (seed, fertilizer, fuel, labor, land rent) and your grain elevator's basis schedule to AskBiz. It calculates your true breakeven price per bushel, then overlays futures market data and your storage costs to show you exactly which weeks offer the best net return. Ask it: 'Should I sell my corn now or store it until March?' and get an answer that accounts for your specific costs, not generic market advice.
Real scenario: a soybean farm in Illinois#
Tom farms 800 acres of soybeans near Champaign. His input costs totaled $412 per acre in 2025. At harvest, the local cash price was $11.20 per bushel, giving him a thin margin. AskBiz analysed his storage costs ($0.04/bu/month), interest on his operating line (7.2 percent), and historical basis patterns. It recommended selling 40 percent at harvest and storing 60 percent until late February, when basis historically narrows by $0.35-0.45 per bushel in his area. The net result: $0.28 per bushel more on the stored portion, adding $13,440 to his bottom line on the same crop.
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Market timing data#
AskBiz tracks basis patterns at over 2,000 US delivery points and can show you the 5-year average basis movement for your specific elevator, helping you make storage decisions grounded in local data rather than national averages.
Beyond grain#
The same logic applies to livestock producers timing cattle sales, dairy farmers evaluating milk-over-feed margins, or specialty crop growers deciding between contract pricing and spot sales. AskBiz adapts to any agricultural commodity where timing affects revenue.
People also ask
How do farmers decide when to sell crops?
Most rely on habit or urgency. AskBiz analyses input costs, local basis prices, storage costs, and futures data to calculate the optimal selling window for each farmer's specific situation.
Can AskBiz help with livestock pricing too?
Yes — the same analysis logic applies to cattle sales timing, dairy milk-over-feed margins, and specialty crop contract decisions.
How much money do farmers lose from bad timing?
USDA data suggests the average grain farmer captures only 85 percent of the maximum available price, leaving significant revenue on the table each marketing year.
Our team combines expertise in data analytics, SME strategy, and AI tools to produce practical guides that help founders and operators make better business decisions.
Price your crops with confidence
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