Walmart (WMT) Inventory (2009 - 2026)
Walmart (WMT) posted Inventory of $61.6 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.7% from $57.73 billion a year earlier but down 1.6% from the prior quarter.
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Analysis
Walmart (WMT) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart's Inventory came in at $58.85 billion, up 4.3% from FY2025.
- Annual Inventory shows a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- In prior fiscal years, Walmart's Inventory was $56.44 billion in FY2025 (+2.8%), $54.89 billion in FY2024 (-3.0%), $56.58 billion in FY2023 (+0.1%) and $56.51 billion in FY2022 (+25.7%).
- Quarterly Inventory has run from a low of $54.89 billion in fiscal Q4 2024 to a high of $65.35 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Inventory has increased in each of the last seven quarters, with growth averaging 4.1% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q1 2023, with growth of 32.0%; the weakest was fiscal Q1 2024, with a decline of 7.0%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $62.57 billion (Q1 2027), $58.85 billion (Q4 2026) and $65.35 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 19.42 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | - |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | - |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 6.55 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 557.97 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 2.45 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 1.70 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 3.52 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 4.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 61.60 Bn |
| Apr 30, 2026 | 62.57 Bn |
| Jan 31, 2026 | 58.85 Bn |
| Oct 31, 2025 | 65.35 Bn |
| Jul 31, 2025 | 57.73 Bn |
| Apr 30, 2025 | 57.47 Bn |
| Jan 31, 2025 | 56.44 Bn |
| Oct 31, 2024 | 63.30 Bn |
| Jul 31, 2024 | 55.61 Bn |
| Apr 30, 2024 | 55.38 Bn |
| Jan 31, 2024 | 54.89 Bn |
| Oct 31, 2023 | 63.95 Bn |
| Jul 31, 2023 | 56.72 Bn |
| Apr 30, 2023 | 56.93 Bn |
| Jan 31, 2023 | 56.58 Bn |
| Oct 31, 2022 | 64.71 Bn |
| Jul 31, 2022 | 59.92 Bn |
| Apr 30, 2022 | 61.23 Bn |
| Jan 31, 2022 | 56.51 Bn |
| Oct 31, 2021 | 57.48 Bn |
API Access
Walmart 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=inventory&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();