Walmart (WMT) Assets (2009 - 2026)
Walmart's Assets came in at $293.91 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.5% from $270.84 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Walmart (WMT) Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart's Assets was $284.67 billion, up 9.1% from FY2025.
- Assets has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $260.82 billion in FY2025 (+3.3%), $252.4 billion in FY2024 (+3.8%), $243.2 billion in FY2023 (-0.7%) and $244.86 billion in FY2022 (-3.0%).
- The fiscal Q2 2027 figure represents the highest quarterly Assets in data going back to fiscal Q4 2009.
- Year-over-year, Assets has increased for eight consecutive quarters, with growth averaging 6.5% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in fiscal Q1 2027 (growth of 10.4%), and the weakest in fiscal Q4 2022 (a decline of 3.0%).
- Business Quant data shows WMT's Assets at $289.61 billion (Q1 2027), $284.67 billion (Q4 2026) and $288.66 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 293.91 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 86.43 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 28.40 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 49.49 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 32.17 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 9.12 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 14.03 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 14.34 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 12.16 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 18.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 293.91 Bn |
| Apr 30, 2026 | 289.61 Bn |
| Jan 31, 2026 | 284.67 Bn |
| Oct 31, 2025 | 288.66 Bn |
| Jul 31, 2025 | 270.84 Bn |
| Apr 30, 2025 | 262.37 Bn |
| Jan 31, 2025 | 260.82 Bn |
| Oct 31, 2024 | 263.40 Bn |
| Jul 31, 2024 | 254.44 Bn |
| Apr 30, 2024 | 254.05 Bn |
| Jan 31, 2024 | 252.40 Bn |
| Oct 31, 2023 | 259.17 Bn |
| Jul 31, 2023 | 255.12 Bn |
| Apr 30, 2023 | 245.05 Bn |
| Jan 31, 2023 | 243.20 Bn |
| Oct 31, 2022 | 247.66 Bn |
| Jul 31, 2022 | 247.20 Bn |
| Apr 30, 2022 | 246.14 Bn |
| Jan 31, 2022 | 244.86 Bn |
| Oct 31, 2021 | 244.85 Bn |
API Access
Walmart 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=assets&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();