Walmart (WMT) Non-Current Assets (2009 - 2026)
Walmart (WMT) posted Non-Current Assets of $205.21 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.7% from $188.8 billion a year earlier and up 2.0% from the prior quarter.
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Analysis
Walmart (WMT) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart's Non-Current Assets came in at $199.79 billion, up 10.2% from FY2025.
- Annual Non-Current Assets has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- In prior fiscal years, Walmart's Non-Current Assets was $181.37 billion in FY2025 (+3.3%), $175.52 billion in FY2024 (+4.8%), $167.54 billion in FY2023 (+2.3%) and $163.79 billion in FY2022 (+0.8%).
- The fiscal Q2 2027 figure stands as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 15 quarters, with growth averaging 7.0% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q3 2026, with growth of 10.9%; the weakest was fiscal Q3 2022, with a decline of 8.7%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $201.21 billion (Q1 2027), $199.79 billion (Q4 2026) and $195.74 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 205.21 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 41.25 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 14.96 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 36.57 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 23.39 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 7.73 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 10.29 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 9.89 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.91 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 11.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 205.21 Bn |
| Apr 30, 2026 | 201.21 Bn |
| Jan 31, 2026 | 199.79 Bn |
| Oct 31, 2025 | 195.74 Bn |
| Jul 31, 2025 | 188.80 Bn |
| Apr 30, 2025 | 182.12 Bn |
| Jan 31, 2025 | 181.37 Bn |
| Oct 31, 2024 | 176.46 Bn |
| Jul 31, 2024 | 177.93 Bn |
| Apr 30, 2024 | 176.90 Bn |
| Jan 31, 2024 | 175.52 Bn |
| Oct 31, 2023 | 170.78 Bn |
| Jul 31, 2023 | 173.09 Bn |
| Apr 30, 2023 | 166.54 Bn |
| Jan 31, 2023 | 167.54 Bn |
| Oct 31, 2022 | 159.98 Bn |
| Jul 31, 2022 | 163.04 Bn |
| Apr 30, 2022 | 162.92 Bn |
| Jan 31, 2022 | 163.79 Bn |
| Oct 31, 2021 | 161.89 Bn |
API Access
Walmart Non-Current Assets 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=non-current-assets&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();