Walmart (WMT) Cost of Revenue (2009 - 2026)
Walmart (WMT) recorded Cost of Revenue of $138.8 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.5% from $132.77 billion a year earlier and up 4.3% from the prior quarter.
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Analysis
Walmart (WMT) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Walmart's Cost of Revenue came in at $550.18 billion as of Jul 31, 2026, up 5.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $535.4 billion, up 4.6% from FY2025.
- Annual Cost of Revenue has increased for ten straight fiscal years, with a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $511.75 billion in FY2025 (+4.4%), $490.14 billion in FY2024 (+5.7%), $463.72 billion in FY2023 (+8.1%) and $429 billion in FY2022 (+2.1%).
- Quarterly Cost of Revenue has ranged from $105.02 billion in fiscal Q3 2022 to $143.62 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for 39 consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 0.2% (fiscal Q4 2022) to 10.1% (fiscal Q2 2023).
- Per Business Quant, the preceding three fiscal quarters came in at $133.06 billion (Q1 2027), $143.62 billion (Q4 2026) and $134.71 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 138.80 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 61.52 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 17.99 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 26.76 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 7.61 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 4.44 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 2.79 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 8.61 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 2.86 Bn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 15.86 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 138.80 Bn |
| Apr 30, 2026 | 133.06 Bn |
| Jan 31, 2026 | 143.62 Bn |
| Oct 31, 2025 | 134.71 Bn |
| Jul 31, 2025 | 132.77 Bn |
| Apr 30, 2025 | 124.30 Bn |
| Jan 31, 2025 | 136.17 Bn |
| Oct 31, 2024 | 127.34 Bn |
| Jul 31, 2024 | 126.81 Bn |
| Apr 30, 2024 | 121.43 Bn |
| Jan 31, 2024 | 131.83 Bn |
| Oct 31, 2023 | 121.18 Bn |
| Jul 31, 2023 | 121.85 Bn |
| Apr 30, 2023 | 115.28 Bn |
| Jan 31, 2023 | 125.42 Bn |
| Oct 31, 2022 | 115.61 Bn |
| Jul 31, 2022 | 115.84 Bn |
| Apr 30, 2022 | 106.85 Bn |
| Jan 31, 2022 | 115.52 Bn |
| Oct 31, 2021 | 105.02 Bn |
API Access
Walmart Cost of Revenue 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=cost-of-revenue&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();