Walmart (WMT) Cash from Operations (2009 - 2026)
Walmart (WMT) recorded Cash from Operations of $14.97 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 15.7% from $12.94 billion a year earlier and up 216.0% from the prior quarter.
Walmart (WMT) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Walmart's Cash from Operations came in at $42.92 billion as of Jul 31, 2026, up 11.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $41.57 billion, up 14.1% from FY2025.
- Annual Cash from Operations has increased for four straight fiscal years, with a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- Across earlier fiscal years, Cash from Operations came in at $36.44 billion in FY2025 (+2.0%), $35.73 billion in FY2024 (+23.9%), $28.84 billion in FY2023 (+19.3%) and $24.18 billion in FY2022 (-33.0%).
- The fiscal Q2 2027 figure is the highest quarterly Cash from Operations since fiscal Q4 2024.
- On a year-over-year basis, Cash from Operations rose in six of the last eight quarters, with growth averaging 96.1%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 707.0% in fiscal Q3 2025, against a decline of 87.4% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.74 billion (Q1 2027), $14.11 billion (Q4 2026) and $9.1 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 14.97 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 3.45 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 1.18 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | - |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 780.52 Mn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 384.07 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 921.50 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 431.00 Mn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 562.02 Mn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 341.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.97 Bn |
| Apr 30, 2026 | 4.74 Bn |
| Jan 31, 2026 | 14.11 Bn |
| Oct 31, 2025 | 9.10 Bn |
| Jul 31, 2025 | 12.94 Bn |
| Apr 30, 2025 | 5.41 Bn |
| Jan 31, 2025 | 13.53 Bn |
| Oct 31, 2024 | 6.56 Bn |
| Jul 31, 2024 | 12.11 Bn |
| Apr 30, 2024 | 4.25 Bn |
| Jan 31, 2024 | 16.71 Bn |
| Oct 31, 2023 | 813.00 Mn |
| Jul 31, 2023 | 13.57 Bn |
| Apr 30, 2023 | 4.63 Bn |
| Jan 31, 2023 | 13.14 Bn |
| Oct 31, 2022 | 6.46 Bn |
| Jul 31, 2022 | 13.00 Bn |
| Apr 30, 2022 | -3.76 Bn |
| Jan 31, 2022 | 7.89 Bn |
| Oct 31, 2021 | 3.87 Bn |
Walmart Cash from Operations 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-from-operations&ticker=WMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();