How to Read the USDA WASDE Report: Ending Stocks and Stocks-to-Use Ratios
The USDA World Agricultural Supply and Demand Estimates (WASDE) report brings together forecasts for major agricultural commodities. It includes crop production, domestic use, international trade and ending inventories. To interpret its market significance, readers must reconcile the supply-and-use balance and compare new estimates with earlier figures and pre-release expectations.
This guide provides a repeatable way to read WASDE tables for wheat, corn and soybeans without treating an upward or downward crop revision as a guaranteed price signal.
Key takeaways
- Start with the identity: beginning stocks plus production plus imports equals total available supply.
- Ending stocks reflect supply less use under defined marketing-year and country coverage.
- Stocks-to-use provides context beyond the absolute level of stocks but is not a universal scarcity threshold.
- Revisions matter relative to previous estimates, consensus expectations and local versus world availability.
Essential concepts and market terminology
WASDE
USDA’s monthly World Agricultural Supply and Demand Estimates, covering major US and global agricultural commodities and marketing years.
Beginning stocks
Inventory carried into a particular marketing year under the applicable reporting convention; they normally connect to the previous year’s ending stocks.
Production
The estimated physical output during a marketing year. It can change as planting acreage, harvested area and yield forecasts are revised.
Imports
Quantities expected to enter a country during the specified marketing year, distinct from domestic production.
Total supply
Beginning stocks plus output and relevant imports, under a comparable unit and market-year definition.
Domestic use
Consumption or processing within the country, such as feed, seed, food, industrial and residual use, depending on commodity.
Exports
Quantities shipped overseas under the relevant agricultural reporting convention; forecasts can change with global competition, transport and policy.
Ending stocks
Inventory remaining after the marketing year’s projected use, subject to reporting adjustments.
Stocks-to-use ratio
Ending stocks divided by an appropriate use denominator, often domestic use plus exports in US crop balances, expressed as a percentage.
Marketing year
The accounting period used for a crop, which may differ among countries and commodities. Calendar-year comparisons can be misleading.
How to analyse how to read WASDE report
Understand the balance sheet rather than just the headline
The foundational equation is ending stocks = beginning stocks + production + imports − domestic use − exports, subject to any explicitly stated adjustment. A forecast changes when either supply or demand estimates are revised. Because the categories are linked, an increase in production does not necessarily increase ending stocks if domestic consumption or exports are simultaneously raised.
WASDE is a forecast series and not a continuous census of warehouse inventories. The USDA incorporates agency estimates, crop surveys and information from producing and consuming regions. Values can be revised in later editions. Use the relevant report date, marketing year and measurement units when comparing rows.
Why stocks-to-use matters
A 20-million-tonne stockpile means different things if annual use is 40 million tonnes or 400 million tonnes. The stocks-to-use ratio puts inventories relative to annual requirements. Under a simplified consistent basis, dividing 20 by 100 gives a 20% ratio. Analysts sometimes relate historically lower ratios to tighter supply buffers, but the mapping to prices varies with commodity, timing, quality and trade access.
World ending stocks may be concentrated in countries where stockpiles are not equally available for export. A country-by-country breakdown can therefore be more informative than a global aggregate. Public inventories, private inventories, regional transport limits and government intervention affect the economic accessibility of ‘world stocks’.
Crop acreage, yield and production are different
Agricultural output depends on area harvested and yield per unit of area. Planted acreage is not always harvested acreage because weather and farmer decisions can change the final area. For a simple maize example, a smaller harvested area can offset improved yield estimates. Read the rows separately to identify whether a revision reflects acreage, expected productivity or both.
Weather risk is concentrated in parts of the growth cycle. Early planting disruptions may affect acreage, while later heat or drought can alter yields. A strong crop forecast can change with survey evidence and rainfall; a single report does not eliminate forecast uncertainty for the remaining season.
Compare US and world balances
US balances are relevant to American production, exports and futures-delivery context, while world balances incorporate other major producers and consumers. Brazil, Argentina, China, the European Union and Black Sea exporters may change a global outlook even when the US domestic crop remains unchanged. Cross-country numbers should be compared under the USDA’s common tables and dated assumptions.
Export controls, tariffs, freight constraints and quality specifications can prevent otherwise abundant production from relieving scarcity in a particular market. A local cash price may diverge from a global benchmark because of basis, logistics and policy. A single world ratio cannot settle the outlook for all regional wheat grades or soymeal demand.
What counts as a market surprise
Before release, note analysts’ consensus for production, ending stocks and relevant crop regions. After release, calculate the difference between the new WASDE number and the expected value, not solely the difference from last month. A figure higher than the previous edition may still be bullish relative to consensus if the market expected an even larger rise.
A second useful lens is the USDA’s month-to-month revision narrative. It explains whether changes reflect production, trade or demand. Do not retrospectively invent an expectation based on the immediate futures price move. Record actual forecasts and publication timestamps for an honest event study.
Why old-crop and new-crop contracts differ
A current marketing-year balance can be tight while the next harvest is expected to replenish stocks. Nearby futures and new-crop contracts can therefore respond differently to the same WASDE report. This affects calendar spreads, storage economics and hedging dates. An investor should compare the contract month with the specific crop-year revision.
Futures markets also price risk before USDA data become official. Private crop tours, export sales, weather maps and government statistics may already have shifted expectations. The official release can move markets by resolving uncertainty, not simply because the published number was large.
Avoid false precision and treat revisions systematically
Use exact report units and check whether numbers are bushels, tonnes or million tonnes. Marketing years and crop classes vary. A world wheat balance need not share the same annual accounting window as a US corn table. Don’t calculate percentage changes using a mismatch of years or commodities.
A robust worksheet retains the last published WASDE values, pre-release consensus, new forecasts and the reason for each major change. Note subsequent revisions so that backtests do not use information unavailable on the actual event date. The report is educational evidence, not a guarantee of future agricultural prices.
Worked educational example
Suppose a fictional grain balance shows beginning stocks of 25 million tonnes, production of 115 million and imports of 10 million. Total supply is 150 million. Domestic use is forecast at 100 million and exports at 30 million, giving ending stocks of 20 million tonnes. If the relevant stocks-to-use denominator is domestic use plus exports, it is 20 ÷ 130 × 100 ≈ 15.38%. Last month the forecast ending stocks were 22 million, while market participants expected the new figure to be 18 million. The new figure fell versus last month but was 2 million tonnes above consensus; the surprise differs depending on the comparison. All figures are hypothetical.
Comparison table
| WASDE field | Question answered | Common pitfall |
|---|---|---|
| Harvested area × yield | What output is forecast? | Conflating planted and harvested |
| Beginning stocks | What is carried forward? | Wrong marketing year |
| Exports | How much trade is expected? | Mixing shipments and forecasts |
| Ending stocks | What stock remains? | Ignoring accessibility |
| Stocks-to-use | How large is the buffer? | Assuming universal threshold |
Practical research checklist and common mistakes
Before interpreting a market statistic, identify exactly what the number measures, where it applies and the date or delivery period. Use reliable primary sources and record whether a value is a forecast, a realised observation, a quoted bid/offer or a model estimate. Ensure prices, quantities and percentages use matching units and periods; mixing stock levels with flow rates or comparing contracts from different expiries can create plausible but erroneous conclusions.
Next, establish what the market already expected. A figure that appears large in absolute terms may be unsurprising and therefore have little incremental information. Test an alternative explanation for any observed relationship, including supply shifts, transportation bottlenecks, monetary conditions, inventory changes or revisions. Do not infer causation from a short price-chart response. Treat any worked numerical example here as illustrative, not an executable quotation.
Finally, record the sources of uncertainty: estimation, coverage, market liquidity, product specifications, funding, currency, settlement and regulatory changes. Futures and options may create additional margin requirements or losses. No commodity market indicator, chart, ratio or statistical release guarantees an investment outcome.
Worked comparison: a production revision can coexist with a demand revision
Consider a second hypothetical WASDE-style balance. Last month’s forecast used 100 million tonnes of production, 15 million tonnes of starting stocks, 5 million tonnes of imports and 105 million tonnes of total use. Ending stocks were therefore 15 million tonnes. In a new report, production rises to 108 million but total use also rises to 112 million, with other assumptions unchanged. Ending stocks become 16 million, only one million tonne higher despite an eight-million-tonne production revision. A headline describing ‘eight million more tonnes produced’ would exaggerate the change in the ending-stock buffer.
Now compare the data with expectations. If analysts had anticipated ending stocks of 19 million, a published value of 16 million might appear relatively tighter than consensus even though it increased from the prior forecast of 15 million. This distinction matters for interpreting futures prices following publication. A price change is a response to all information available at that moment; it cannot be causally attributed to the direction of one headline balance.
Historical research caution: Never use the USDA’s current revised historical dataset as if all those revisions were available on the original report date. For an event study, retain the actual document vintage, timestamp, projected crop year, units and contemporary expectation. Market reports contain both observable estimates and model assumptions, so the evolution of revisions is itself part of the information being assessed.
Frequently asked questions
What is a bullish WASDE report?
It is a report that changes expectations in a way participants interpret as supportive for prices. Lower-than-expected ending stocks can be supportive, but other revisions and positioning may dominate.
What is stocks-to-use?
Ending stocks divided by a specified annual use measure, expressed as a percentage. The denominator must match the commodity and reporting convention.
Is the WASDE report only about US crops?
No. It includes international supply-and-demand estimates for important commodities as well as US balances.
Can crop futures fall after a lower production forecast?
Yes. The change might be smaller than anticipated or offset by weaker projected demand, higher imports or other information.
Related Traders MBA education
Agricultural Weather Risk and Crop Reports; Agricultural Commodities Trading; Commodity Prices and Inventories. Also see the Commodities category and Education Hub.
Sources and further reading
Important notice: This is general financial education, not personalised financial advice, investment research on a particular product or a recommendation to trade. Numerical examples are hypothetical. Physical commodities, derivatives and leveraged exposures involve substantial market, execution, funding and other risks, including possible losses.