Walmart (WMT) Return on Assets [ROA] (2009 - 2026)
Walmart's Return on Assets [ROA] came in at 7.71% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.51 percentage points from 8.23% a year earlier and down 0.34 percentage points from the prior quarter.
Walmart (WMT) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Walmart's Return on Assets [ROA] was 8.17%, up 0.31 percentage points from FY2025.
- Return on Assets [ROA] has increased in each of the last three fiscal years, with a five-year change of +2.56 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was 7.86% in FY2025 (+1.29 pp), 6.57% in FY2024 (+1.94 pp), 4.63% in FY2023 (-0.98 pp) and 5.61% in FY2022 (unchanged).
- The fiscal Q2 2027 figure represents the lowest quarterly Return on Assets [ROA] since fiscal Q1 2026.
- Year-over-year, Return on Assets [ROA] increased in six of the last eight quarters, with an average year-over-year change of +0.62 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q1 2025 (a gain of 3.23 percentage points), and the weakest in fiscal Q3 2022 (a drop of 4.76 percentage points).
- Business Quant data shows WMT's Return on Assets [ROA] at 8.05% (Q1 2027), 7.77% (Q4 2026) and 8.33% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 7.71% |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 10.39% |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 6.23% |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.60% |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 5.33% |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 8.56% |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 11.58% |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 5.11% |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 8.49% |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 1.93% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.71% |
| Apr 30, 2026 | 8.05% |
| Jan 31, 2026 | 7.77% |
| Oct 31, 2025 | 8.33% |
| Jul 31, 2025 | 8.23% |
| Apr 30, 2025 | 7.45% |
| Jan 31, 2025 | 7.69% |
| Oct 31, 2024 | 7.88% |
| Jul 31, 2024 | 6.43% |
| Apr 30, 2024 | 7.77% |
| Jan 31, 2024 | 6.36% |
| Oct 31, 2023 | 6.38% |
| Jul 31, 2023 | 5.59% |
| Apr 30, 2023 | 4.54% |
| Jan 31, 2023 | 4.60% |
| Oct 31, 2022 | 3.68% |
| Jul 31, 2022 | 5.68% |
| Apr 30, 2022 | 5.39% |
| Jan 31, 2022 | 5.69% |
| Oct 31, 2021 | 3.43% |
Walmart Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=WMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();