Walmart (WMT) EBIT (2009 - 2026)
Walmart (WMT) reported EBIT of $9.38 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 28.8% from $7.29 billion a year earlier and up 25.2% from the prior quarter.
Walmart (WMT) EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Walmart's EBIT came in at $32.28 billion, up 11.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $29.83 billion, up 1.6% from FY2025.
- EBIT has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- By fiscal year, EBIT came in at $29.35 billion in FY2025 (+8.6%), $27.01 billion in FY2024 (+32.2%), $20.43 billion in FY2023 (-21.3%) and $25.94 billion in FY2022 (+15.1%).
- The fiscal Q2 2027 figure ranks as the highest quarterly EBIT in data going back to fiscal Q4 2009.
- Year over year, EBIT has now increased in each of the last three quarters, with growth averaging 7.1% over the last eight quarters.
- The high point for year-over-year EBIT in five years was fiscal Q3 2024 (growth of 130.1%); the low point was fiscal Q3 2023 (a decline of 53.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $7.49 billion (Q1 2027), $8.71 billion (Q4 2026) and $6.7 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 9.38 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 2.82 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 983.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 971.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 769.16 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 485.08 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 690.10 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 443.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 467.12 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 323.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.38 Bn |
| Apr 30, 2026 | 7.49 Bn |
| Jan 31, 2026 | 8.71 Bn |
| Oct 31, 2025 | 6.70 Bn |
| Jul 31, 2025 | 7.29 Bn |
| Apr 30, 2025 | 7.14 Bn |
| Jan 31, 2025 | 7.86 Bn |
| Oct 31, 2024 | 6.71 Bn |
| Jul 31, 2024 | 7.94 Bn |
| Apr 30, 2024 | 6.84 Bn |
| Jan 31, 2024 | 7.25 Bn |
| Oct 31, 2023 | 6.20 Bn |
| Jul 31, 2023 | 7.32 Bn |
| Apr 30, 2023 | 6.24 Bn |
| Jan 31, 2023 | 5.56 Bn |
| Oct 31, 2022 | 2.70 Bn |
| Jul 31, 2022 | 6.85 Bn |
| Apr 30, 2022 | 5.32 Bn |
| Jan 31, 2022 | 5.89 Bn |
| Oct 31, 2021 | 5.79 Bn |
Walmart EBIT 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=ebit&ticker=WMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();