Walmart (WMT) Enterprise Value (2009 - 2026)
Walmart (WMT) recorded Enterprise Value of $876.97 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 12.7% from $778.19 billion a year earlier but down 16.1% from the prior quarter.
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Analysis
Walmart (WMT) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Walmart's Enterprise Value came in at $844.93 billion as of Jul 31, 2026, up 12.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $945.38 billion, up 20.5% from FY2025.
- Annual Enterprise Value has increased for four straight fiscal years, with a five-year compound annual growth rate of 19.7% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $784.3 billion in FY2025 (+78.1%), $440.43 billion in FY2024 (+14.0%), $386.29 billion in FY2023 (+2.0%) and $378.54 billion in FY2022 (-1.6%).
- Quarterly Enterprise Value has ranged from $352.54 billion in fiscal Q2 2023 to $1.05 trillion in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for 13 consecutive quarters, with growth averaging 40.6% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 78.1% in fiscal Q4 2025, against a decline of 7.5% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.05 trillion (Q1 2027), $945.38 billion (Q4 2026) and $801.95 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 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 | 876.97 Bn |
| Apr 30, 2026 | 1,045.53 Bn |
| Jan 31, 2026 | 945.38 Bn |
| Oct 31, 2025 | 801.95 Bn |
| Jul 31, 2025 | 778.19 Bn |
| Apr 30, 2025 | 773.33 Bn |
| Jan 31, 2025 | 784.30 Bn |
| Oct 31, 2024 | 654.45 Bn |
| Jul 31, 2024 | 549.08 Bn |
| Apr 30, 2024 | 474.76 Bn |
| Jan 31, 2024 | 440.43 Bn |
| Oct 31, 2023 | 433.91 Bn |
| Jul 31, 2023 | 422.18 Bn |
| Apr 30, 2023 | 402.76 Bn |
| Jan 31, 2023 | 386.29 Bn |
| Oct 31, 2022 | 380.09 Bn |
| Jul 31, 2022 | 352.54 Bn |
| Apr 30, 2022 | 416.28 Bn |
| Jan 31, 2022 | 378.54 Bn |
| Oct 31, 2021 | 406.87 Bn |
API Access
Walmart Enterprise Value 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=enterprise-value&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();