Walmart (WMT) Cash & Equivalents (2009 - 2026)
Walmart's Cash & Equivalents came in at $11.53 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 22.2% from $9.43 billion a year earlier and up 7.5% from the prior quarter.
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Analysis
Walmart (WMT) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart's Cash & Equivalents was $10.73 billion, up 18.7% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of -9.6% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $9.04 billion in FY2025 (-8.7%), $9.9 billion in FY2024 (+14.8%), $8.63 billion in FY2023 (-41.7%) and $14.8 billion in FY2022 (-16.6%).
- The fiscal Q2 2027 figure represents the highest quarterly Cash & Equivalents since fiscal Q3 2024.
- Year-over-year, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2027 (growth of 22.2%), and the weakest in fiscal Q1 2023 (a decline of 48.3%).
- Business Quant data shows WMT's Cash & Equivalents at $10.73 billion (Q1 2027), $10.73 billion (Q4 2026) and $10.58 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 92.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.53 Bn |
| Apr 30, 2026 | 10.73 Bn |
| Jan 31, 2026 | 10.73 Bn |
| Oct 31, 2025 | 10.58 Bn |
| Jul 31, 2025 | 9.43 Bn |
| Apr 30, 2025 | 9.31 Bn |
| Jan 31, 2025 | 9.04 Bn |
| Oct 31, 2024 | 10.05 Bn |
| Jul 31, 2024 | 8.81 Bn |
| Apr 30, 2024 | 9.41 Bn |
| Jan 31, 2024 | 9.90 Bn |
| Oct 31, 2023 | 12.15 Bn |
| Jul 31, 2023 | 13.89 Bn |
| Apr 30, 2023 | 10.58 Bn |
| Jan 31, 2023 | 8.63 Bn |
| Oct 31, 2022 | 11.59 Bn |
| Jul 31, 2022 | 13.92 Bn |
| Apr 30, 2022 | 11.82 Bn |
| Jan 31, 2022 | 14.80 Bn |
| Oct 31, 2021 | 16.11 Bn |
API Access
Walmart Cash & Equivalents 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=cash-and-equivalents&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();