Walmart (WMT) EV to EBITDA (2009 - 2026)
Walmart's EV to EBITDA came in at 18.51 for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.1% from 18.31 a year earlier but down 20.6% from the prior quarter.
Walmart (WMT) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Walmart reported EV to EBITDA of 17.84, up 1.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 21.47, up 15.9% from FY2025.
- Going back by fiscal year, EV to EBITDA was 18.52 in FY2025 (+63.6%), 11.32 in FY2024 (-8.1%), 12.31 in FY2023 (+19.2%) and 10.33 in FY2022 (-9.4%).
- The five-year range for quarterly EV to EBITDA is 10.18 (fiscal Q2 2023) to 23.32 (fiscal Q1 2027).
- Year-over-year, EV to EBITDA has increased for nine consecutive quarters, with growth averaging 31.2% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in fiscal Q4 2025 (growth of 63.6%), and the weakest in fiscal Q4 2022 (a decline of 9.4%).
- Business Quant data shows WMT's EV to EBITDA at 23.32 (Q1 2027), 21.47 (Q4 2026) and 18.72 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 941.04 Bn | 897.47 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 441.07 Bn | 364.35 Bn | 12.19 Bn |
| 3 | Sysco | 39.58 Bn | 33.83 Bn | 4.13 Bn |
| 4 | Kroger | 38.20 Bn | 24.35 Bn | 7.86 Bn |
| 5 | Dollar General | 29.56 Bn | 24.23 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.45 Bn | 23.45 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.72 Bn | 20.35 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.35 Bn | 22.15 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.24 Bn | 16.41 Bn | 1.68 Bn |
| 10 | Performance Food | 15.13 Bn | 14.91 Bn | 2.17 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 18.51 |
| Apr 30, 2026 | 23.32 |
| Jan 31, 2026 | 21.47 |
| Oct 31, 2025 | 18.72 |
| Jul 31, 2025 | 18.31 |
| Apr 30, 2025 | 18.03 |
| Jan 31, 2025 | 18.52 |
| Oct 31, 2024 | 15.77 |
| Jul 31, 2024 | 13.48 |
| Apr 30, 2024 | 11.93 |
| Jan 31, 2024 | 11.32 |
| Oct 31, 2023 | 11.77 |
| Jul 31, 2023 | 12.74 |
| Apr 30, 2023 | 12.41 |
| Jan 31, 2023 | 12.31 |
| Oct 31, 2022 | 12.01 |
| Jul 31, 2022 | 10.18 |
| Apr 30, 2022 | 11.87 |
| Jan 31, 2022 | 10.33 |
| Oct 31, 2021 | 11.19 |
Walmart EV to EBITDA 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=ev-to-ebitda&ticker=WMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();