Walmart (WMT) Change in Inventory (2009 - 2026)
Walmart (WMT) recorded Change in Inventory of -$1.17 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$148 million a year earlier.
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Analysis
Walmart (WMT) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, Walmart's Change in Inventory came in at $3.44 billion as of Jul 31, 2026, up 58.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.44 billion, down 47.6% from FY2025.
- Annual Change in Inventory has a five-year compound annual growth rate of -9.6% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Inventory came in at $2.76 billion in FY2025, -$2.02 billion in FY2024, $528 million in FY2023 (-95.5%) and $11.76 billion in FY2022 (+391.2%).
- Quarterly Change in Inventory has ranged from -$9.34 billion in fiscal Q4 2024 to $9.94 billion in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Change in Inventory rose in three of the last four quarters, with growth averaging 107.0%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 375.0% in fiscal Q1 2027, against a decline of 96.7% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.83 billion (Q1 2027), -$6.78 billion (Q4 2026) and $7.56 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | -1.17 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | -87.00 Mn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 60.00 Mn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | -59.19 Mn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 577,000.00 |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | -16.10 Mn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 26.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | -69.86 Mn |
| 10 | Performance Food | 15.21 Bn | 14.99 Bn | 2.17 Bn | 293.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -1.17 Bn |
| Apr 30, 2026 | 3.83 Bn |
| Jan 31, 2026 | -6.78 Bn |
| Oct 31, 2025 | 7.56 Bn |
| Jul 31, 2025 | -148.00 Mn |
| Apr 30, 2025 | 807.00 Mn |
| Jan 31, 2025 | -6.45 Bn |
| Oct 31, 2024 | 7.97 Bn |
| Jul 31, 2024 | 705.00 Mn |
| Apr 30, 2024 | 529.00 Mn |
| Jan 31, 2024 | -9.34 Bn |
| Oct 31, 2023 | 7.54 Bn |
| Jul 31, 2023 | -376.00 Mn |
| Apr 30, 2023 | 154.00 Mn |
| Jan 31, 2023 | -8.48 Bn |
| Oct 31, 2022 | 5.28 Bn |
| Jul 31, 2022 | -969.00 Mn |
| Apr 30, 2022 | 4.70 Bn |
| Jan 31, 2022 | -899.00 Mn |
| Oct 31, 2021 | 9.94 Bn |
API Access
Walmart Change in Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-inventory&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "WMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();