Walmart (WMT) Accumulated Expenses (2009 - 2026)
Walmart's Accumulated Expenses came in at $30.07 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.3% from $28.82 billion a year earlier and up 9.2% from the prior quarter.
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Analysis
Walmart (WMT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart's Accumulated Expenses was $31.19 billion, up 6.3% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of -3.9% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $29.35 billion in FY2025 (+2.0%), $28.76 billion in FY2024 (-7.6%), $31.13 billion in FY2023 (+19.4%) and $26.06 billion in FY2022 (-31.4%).
- The five-year range for quarterly Accumulated Expenses is $21.06 billion (fiscal Q1 2023) to $31.52 billion (fiscal Q3 2026).
- Year-over-year, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2024 (growth of 30.7%), and the weakest in fiscal Q4 2022 (a decline of 31.4%).
- Business Quant data shows WMT's Accumulated Expenses at $27.53 billion (Q1 2027), $31.19 billion (Q4 2026) and $31.52 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 30.07 Bn |
| Apr 30, 2026 | 27.53 Bn |
| Jan 31, 2026 | 31.19 Bn |
| Oct 31, 2025 | 31.52 Bn |
| Jul 31, 2025 | 28.82 Bn |
| Apr 30, 2025 | 26.09 Bn |
| Jan 31, 2025 | 29.35 Bn |
| Oct 31, 2024 | 28.12 Bn |
| Jul 31, 2024 | 27.66 Bn |
| Apr 30, 2024 | 24.09 Bn |
| Jan 31, 2024 | 28.76 Bn |
| Oct 31, 2023 | 26.13 Bn |
| Jul 31, 2023 | 29.24 Bn |
| Apr 30, 2023 | 27.53 Bn |
| Jan 31, 2023 | 31.13 Bn |
| Oct 31, 2022 | 27.44 Bn |
| Jul 31, 2022 | 23.84 Bn |
| Apr 30, 2022 | 21.06 Bn |
| Jan 31, 2022 | 26.06 Bn |
| Oct 31, 2021 | 24.47 Bn |
API Access
Walmart Accumulated Expenses 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=accumulated-expenses&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();