Walmart (WMT) Shares Outstanding (2009 - 2026)
Walmart (WMT) posted Shares Outstanding of 7.95 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.3% from 7.98 billion a year earlier and down 0.2% from the prior quarter.
Walmart (WMT) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Walmart's Shares Outstanding came in at 7.98 billion, down 0.7% from FY2025.
- Annual Shares Outstanding has declined for 17 consecutive fiscal years, with a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- In prior fiscal years, Walmart's Shares Outstanding was 8.04 billion in FY2025 (-0.4%), 8.08 billion in FY2024 (-1.2%), 8.17 billion in FY2023 (-2.4%) and 8.38 billion in FY2022 (-1.4%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Shares Outstanding in data going back to fiscal Q4 2009.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 67 quarters, with an average decline of 0.6% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 0.3% (fiscal Q2 2027) to 2.7% (fiscal Q3 2023).
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 7.97 billion (Q1 2027), 7.98 billion (Q4 2026) and 7.97 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 960.45 Bn | 916.88 Bn | 49.13 Bn | 7.95 Bn |
| 2 | Costco Wholesale | 450.94 Bn | 374.22 Bn | 12.19 Bn | 443.95 Mn |
| 3 | Kroger | 40.91 Bn | 27.07 Bn | 7.86 Bn | 606.00 Mn |
| 4 | Sysco | 40.05 Bn | 34.30 Bn | 4.13 Bn | 479.12 Mn |
| 5 | Dollar General | 30.45 Bn | 25.13 Bn | 3.68 Bn | 220.61 Mn |
| 6 | Caseys General Stores | 26.30 Bn | 24.30 Bn | 1.24 Bn | 36.97 Mn |
| 7 | Dollar Tree | 24.81 Bn | 21.43 Bn | 2.10 Bn | 190.60 Mn |
| 8 | US Foods Holding | 22.72 Bn | 22.52 Bn | 1.92 Bn | 219.00 Mn |
| 9 | Tractor Supply | 18.05 Bn | 17.22 Bn | 1.68 Bn | 523.73 Mn |
| 10 | Performance Food | 15.27 Bn | 15.05 Bn | 2.17 Bn | 155.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.95 Bn |
| Apr 30, 2026 | 7.97 Bn |
| Jan 31, 2026 | 7.98 Bn |
| Oct 31, 2025 | 7.97 Bn |
| Jul 31, 2025 | 7.98 Bn |
| Apr 30, 2025 | 8.01 Bn |
| Jan 31, 2025 | 8.04 Bn |
| Oct 31, 2024 | 8.04 Bn |
| Jul 31, 2024 | 8.04 Bn |
| Apr 30, 2024 | 8.05 Bn |
| Jan 31, 2024 | 8.08 Bn |
| Oct 31, 2023 | 8.08 Bn |
| Jul 31, 2023 | 8.08 Bn |
| Apr 30, 2023 | 8.08 Bn |
| Jan 31, 2023 | 8.17 Bn |
| Oct 31, 2022 | 8.13 Bn |
| Jul 31, 2022 | 8.21 Bn |
| Apr 30, 2022 | 8.26 Bn |
| Jan 31, 2022 | 8.38 Bn |
| Oct 31, 2021 | 8.36 Bn |
Walmart Shares Outstanding 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=shares-outstanding&ticker=WMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();