Walmart (WMT) EPS (Diluted) (2009 - 2026)
Walmart (WMT) posted EPS (Diluted) of $0.80 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 9.0% from $0.88 a year earlier but up 19.8% from the prior quarter.
Walmart (WMT) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EPS (Diluted) at Walmart was $2.77, up 3.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $2.73, up 13.5% from FY2025.
- Annual EPS (Diluted) has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- In prior fiscal years, Walmart's EPS (Diluted) was $2.41 in FY2025 (+25.7%), $1.91 in FY2024 (+34.3%), $1.42 in FY2023 (-12.4%) and $1.62 in FY2022 (+2.7%).
- Quarterly EPS (Diluted) has run from a low of -$0.22 in fiscal Q3 2023 to a high of $0.97 in fiscal Q2 2024 over five years.
- On a year-over-year basis, EPS (Diluted) increased in four of the last eight quarters, with growth averaging 122.8%.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q3 2025, with growth of 913.8%; the weakest was fiscal Q2 2025, with a decline of 42.8%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $0.67 (Q1 2027), $0.53 (Q4 2026) and $0.77 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 0.80 |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 4.93 |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 1.15 |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 1.05 |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.48 |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 7.37 |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 2.70 |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.24 |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 0.69 |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 1.03 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.80 |
| Apr 30, 2026 | 0.67 |
| Jan 31, 2026 | 0.53 |
| Oct 31, 2025 | 0.77 |
| Jul 31, 2025 | 0.88 |
| Apr 30, 2025 | 0.56 |
| Jan 31, 2025 | 0.65 |
| Oct 31, 2024 | 0.57 |
| Jul 31, 2024 | 0.56 |
| Apr 30, 2024 | 0.63 |
| Jan 31, 2024 | 0.68 |
| Oct 31, 2023 | 0.06 |
| Jul 31, 2023 | 0.97 |
| Apr 30, 2023 | 0.21 |
| Jan 31, 2023 | 0.77 |
| Oct 31, 2022 | -0.22 |
| Jul 31, 2022 | 0.63 |
| Apr 30, 2022 | 0.25 |
| Jan 31, 2022 | 0.42 |
| Oct 31, 2021 | 0.37 |
Walmart EPS (Diluted) 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=eps-diluted&ticker=WMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();