Walmart (WMT) Revenue (2009 - 2026)
Walmart (WMT) recorded Revenue of $187.94 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.9% from $177.4 billion a year earlier and up 5.7% from the prior quarter.
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Analysis
Walmart (WMT) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Walmart's Revenue came in at $735.84 billion as of Jul 31, 2026, up 6.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $713.16 billion, up 4.7% from FY2025.
- Annual 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, Revenue came in at $680.99 billion in FY2025 (+5.1%), $648.13 billion in FY2024 (+6.0%), $611.29 billion in FY2023 (+6.7%) and $572.75 billion in FY2022 (+2.4%).
- Quarterly Revenue has ranged from $140.53 billion in fiscal Q3 2022 to $190.66 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Revenue has increased for 42 consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 0.5% in fiscal Q4 2022 to 8.7% in fiscal Q3 2023.
- Per Business Quant, the preceding three fiscal quarters came in at $177.75 billion (Q1 2027), $190.66 billion (Q4 2026) and $179.5 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 4.54 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 18.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 187.94 Bn |
| Apr 30, 2026 | 177.75 Bn |
| Jan 31, 2026 | 190.66 Bn |
| Oct 31, 2025 | 179.50 Bn |
| Jul 31, 2025 | 177.40 Bn |
| Apr 30, 2025 | 165.61 Bn |
| Jan 31, 2025 | 180.55 Bn |
| Oct 31, 2024 | 169.59 Bn |
| Jul 31, 2024 | 169.34 Bn |
| Apr 30, 2024 | 161.51 Bn |
| Jan 31, 2024 | 173.39 Bn |
| Oct 31, 2023 | 160.80 Bn |
| Jul 31, 2023 | 161.63 Bn |
| Apr 30, 2023 | 152.30 Bn |
| Jan 31, 2023 | 164.05 Bn |
| Oct 31, 2022 | 152.81 Bn |
| Jul 31, 2022 | 152.86 Bn |
| Apr 30, 2022 | 141.57 Bn |
| Jan 31, 2022 | 152.87 Bn |
| Oct 31, 2021 | 140.53 Bn |
API Access
Walmart 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=revenue&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();