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Use public Walmart evidence to frame the inventory and service questions a business should measure. Rebuild turnover, aging, and fill rate in a worked US distributor example, then test a change to ending inventory.
A Walmart inventory management case study is useful when it separates documented practices from results that can actually be measured. Public disclosures let you calculate consolidated turnover; your own stock and sales exports let you test the harder questions about aging and service. Keep those evidence boundaries clear before copying a target or attributing an improvement.
The historical baseline here is fiscal 2025, ended January 31, 2025. Walmart's fiscal 2025 Form 10-K reports the following consolidated cost of sales and inventory balances. The last two rows are calculations from those reported inputs, with turnover rounded to two decimals.
| Step | Amount (USD millions) | Calculation |
|---|---|---|
| Beginning inventory, January 31, 2024 | 54,892 | Reported balance |
| Ending inventory, January 31, 2025 | 56,435 | Reported balance |
| Fiscal 2025 cost of sales | 511,753 | Reported expense |
| Average inventory | 55,663.5 | (54,892 + 56,435) / 2 |
| Turnover, times for the fiscal year | 9.19 | 511,753 / 55,663.5 |
The check is 55,663.5 × the unrounded turnover = 511,753. This is a consolidated financial ratio, using opening and closing balances rather than a daily average. It is not a store availability measure or evidence of a particular replenishment project's effect. The report's cost-of-sales definition includes costs beyond merchandise purchases, another reason to compare accounting bases carefully.
The separate inventory turnover guide explains the ratio in depth. Here, it provides one measurable outcome to pair with operational evidence.
In its July 10, 2024 grocery network update, Walmart described automated perishable distribution facilities and using store needs to build pallets organized for departments. That is documented company evidence about its distribution approach, rather than access to private store-level stock records.
For a distributor, the practical questions are whether goods arrive where demand exists, how much stock remains idle, and whether orders are filled. Measuring only the amount held misses the service obligation. Measuring only shipments misses the cash tied up in stock.
Use turnover for the relationship between cost of goods sold and inventory investment. Use inventory aging to locate old stock within the closing balance. Use a quantity-based fill rate to test whether available stock meets orders. State the population and period beside every result.
Prairie Home Distribution is an illustrative US distributor, not a Walmart business or supplier case. Its quarter runs from January 1 through March 31, 2026. The following amounts come from a hypothetical category workbook: opening and closing inventory valued at cost, and cost of goods sold for the quarter.
| Category | Opening inventory (USD) | Closing inventory (USD) | Quarterly COGS (USD) | Average inventory (USD) | Quarterly turns |
|---|---|---|---|---|---|
| Essentials | 50,000 | 40,000 | 180,000 | 45,000 | 4.00 |
| Seasonal | 30,000 | 30,000 | 60,000 | 30,000 | 2.00 |
| Total | 80,000 | 70,000 | 240,000 | 75,000 | 3.20 |
Average inventory is opening plus closing divided by two. Quarterly turns divide quarterly COGS by that average; they are not annualized. With these columns in A:F and categories in rows 2:3, the spreadsheet formulas are:
E2=(B2+C2)/2
F2=D2/E2
F4=SUM(D2:D3)/SUM(E2:E3)
Fill the category formulas down. Essentials gives (50,000 + 40,000) / 2 = $45,000, then 180,000 / 45,000 = 4.00 turns. Total COGS divided by total average inventory gives 240,000 / 75,000 = 3.20 turns.
The proof uses both category rows: 45,000 × 4.00 + 30,000 × 2.00 = $240,000. That equals the COGS total. Opening and closing inventory must also reconcile separately to the valuation report and ledger for their respective dates.
The stock export identifies the cost of closing units held more than 90 days. The order export records units ordered and supplied by the agreed cutoff for the same quarter. For this example, all quantities use the same unit of measure, and supplied units are capped at each order's requirement so overshipments cannot offset shortages elsewhere.
| Category | Closing stock (USD) | Stock older than 90 days (USD) | Aged share | Units ordered | Units supplied | Unit fill rate |
|---|---|---|---|---|---|---|
| Essentials | 40,000 | 4,000 | 10.0% | 1,000 | 950 | 95.0% |
| Seasonal | 30,000 | 12,000 | 40.0% | 400 | 360 | 90.0% |
| Total | 70,000 | 16,000 | 22.9% | 1,400 | 1,310 | 93.6% |
Aged share is aged stock cost divided by closing stock cost: 16,000 / 70,000 = 22.9%. Unit fill rate is 1,310 / 1,400 = 93.6%. Percentages are rounded to one decimal; calculate totals from the underlying amounts.
Seasonal combines slower turns, a larger aged share, and lower fulfillment than Essentials. That is a reason to inspect its item mix and replenishment rules. It does not establish that every seasonal item is overstocked: old goods and shortages of different items can coexist within the same category.
Keep all baseline inputs fixed except Seasonal's closing inventory, which falls from $30,000 to $20,000 in a sensitivity test. This is an analytical variation, not a reported Walmart outcome or a promised operational result.
| Seasonal measure | Baseline | Lower closing inventory | Calculation for variation |
|---|---|---|---|
| Closing inventory (USD) | 30,000 | 20,000 | Changed input |
| Average inventory (USD) | 30,000 | 25,000 | (30,000 + 20,000) / 2 |
| Quarterly turns | 2.00 | 2.40 | 60,000 / 25,000 |
| Aged stock (USD) | 12,000 | 12,000 | Held fixed |
| Aged share | 40.0% | 60.0% | 12,000 / 20,000 |
Turnover improves while the aged share worsens. Reducing the balance has not removed any of the old stock under these assumptions. In practice, identify whether a balance reduction came from sales, transfers, valuation adjustments, or count corrections; those events have different implications. Inventory carrying value explains the valuation reconciliation.
Finance owns the valuation and cost basis. Inventory planning owns replenishment assumptions. Operations owns count and receipt accuracy, while sales or customer service validates the order commitments used in fill rate. Agree on an action at the item and location level before changing purchasing across an entire category.
Add customer context only when it changes the stocking decision. ABC analysis of customers in Excel covers customer tiers; this inventory review should use those tiers without rebuilding that analysis.
Covirage is not affiliated with Walmart or Microsoft.
Upload your inventory snapshots, dated aging, and order or sales exports; Covirage maps the columns, and its tools compute and check the supplied turnover, aging, and service comparisons. The external AI model explains the results with every figure traced to its rows. Create a free Covirage account and bring a sample of your own data.
See Covirage for distributors for the supporting industry context.
Use it as context, then compare your own categories and periods. Assortment, replenishment frequency, cost accounting, and business mix affect turnover. A distributor should establish a baseline for its own products and customer commitments before setting a target from another company's consolidated statements.
Faster turnover can reflect efficient replenishment, but it can also accompany insufficient stock. Check order fulfillment and backorders alongside the ratio. Decide whether the business is serving demand reliably before treating a smaller average inventory balance as an operational improvement.
Use a dated stock export with item, location, quantity, cost, and a consistent age basis, such as receipt date by lot. Keep the aging definition stable. Sales history alone cannot establish how long the units currently on hand have been held.
They can document reported practices and aggregate outcomes, but usually cannot isolate the project's effect. Establish a comparable operational baseline, control for assortment and demand changes, and track stock and service together before attributing an improvement to a particular intervention.