Walmart (WMT) Total Liabilities (2009 - 2026)
Walmart (WMT) recorded Total Liabilities of $189.41 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.7% from $174.29 billion a year earlier and up 0.3% from the prior quarter.
Powered by 
Analysis
Walmart (WMT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart reported Total Liabilities of $178.78 billion, up 9.4% from FY2025.
- Annual Total Liabilities has increased for four straight fiscal years, with a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $163.4 billion in FY2025 (+0.8%), $162.05 billion in FY2024 (+1.6%), $159.44 billion in FY2023 (+4.2%) and $152.97 billion in FY2022 (-7.3%).
- The fiscal Q2 2027 figure is the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- On a year-over-year basis, Total Liabilities has increased for seven consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 10.2% in fiscal Q3 2026, against a decline of 7.3% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $188.93 billion (Q1 2027), $178.78 billion (Q4 2026) and $186.45 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 52.92 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 13.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 189.41 Bn |
| Apr 30, 2026 | 188.93 Bn |
| Jan 31, 2026 | 178.78 Bn |
| Oct 31, 2025 | 186.45 Bn |
| Jul 31, 2025 | 174.29 Bn |
| Apr 30, 2025 | 172.03 Bn |
| Jan 31, 2025 | 163.40 Bn |
| Oct 31, 2024 | 169.12 Bn |
| Jul 31, 2024 | 163.88 Bn |
| Apr 30, 2024 | 165.98 Bn |
| Jan 31, 2024 | 162.05 Bn |
| Oct 31, 2023 | 173.59 Bn |
| Jul 31, 2023 | 169.79 Bn |
| Apr 30, 2023 | 165.82 Bn |
| Jan 31, 2023 | 159.44 Bn |
| Oct 31, 2022 | 167.53 Bn |
| Jul 31, 2022 | 161.61 Bn |
| Apr 30, 2022 | 160.54 Bn |
| Jan 31, 2022 | 152.97 Bn |
| Oct 31, 2021 | 154.09 Bn |
API Access
Walmart Total Liabilities 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=total-liabilities&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();