Walmart (WMT) Market Capitalization (2009 - 2026)
Walmart (WMT) recorded Market Capitalization of $882.23 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 12.9% from $781.18 billion a year earlier but down 16.0% from the prior quarter.
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Analysis
Walmart (WMT) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Walmart reported Market Capitalization of $949.83 billion, up 20.7% from FY2025.
- Annual Market Capitalization has increased for four straight fiscal years, with a five-year compound annual growth rate of 19.1% (FY2021 to FY2026).
- Across earlier fiscal years, Market Capitalization came in at $786.93 billion in FY2025 (+77.3%), $443.84 billion in FY2024 (+14.4%), $387.85 billion in FY2023 (+0.8%) and $384.7 billion in FY2022 (-2.8%).
- Quarterly Market Capitalization has ranged from $358.44 billion in fiscal Q2 2023 to $1.05 trillion in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Market Capitalization has increased for 13 consecutive quarters, with growth averaging 40.3% over the last eight quarters.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 77.3% in fiscal Q4 2025, against a decline of 9.8% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.05 trillion (Q1 2027), $949.83 billion (Q4 2026) and $806.42 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 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 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 882.23 Bn |
| Apr 30, 2026 | 1,049.91 Bn |
| Jan 31, 2026 | 949.83 Bn |
| Oct 31, 2025 | 806.42 Bn |
| Jul 31, 2025 | 781.18 Bn |
| Apr 30, 2025 | 776.10 Bn |
| Jan 31, 2025 | 786.93 Bn |
| Oct 31, 2024 | 658.34 Bn |
| Jul 31, 2024 | 551.75 Bn |
| Apr 30, 2024 | 477.38 Bn |
| Jan 31, 2024 | 443.84 Bn |
| Oct 31, 2023 | 439.94 Bn |
| Jul 31, 2023 | 430.30 Bn |
| Apr 30, 2023 | 406.51 Bn |
| Jan 31, 2023 | 387.85 Bn |
| Oct 31, 2022 | 383.81 Bn |
| Jul 31, 2022 | 358.44 Bn |
| Apr 30, 2022 | 419.40 Bn |
| Jan 31, 2022 | 384.70 Bn |
| Oct 31, 2021 | 414.50 Bn |
API Access
Walmart Market Capitalization 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=market-capitalization&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();