Walmart (WMT) Total Debt (2009 - 2026)
Walmart (WMT) posted Total Debt of $50.41 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 15.9% from $43.49 billion a year earlier but down 2.0% from the prior quarter.
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Analysis
Walmart (WMT) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart's Total Debt came in at $44.76 billion, up 14.5% from FY2025.
- Annual Total Debt shows a five-year compound annual growth rate of 0.1% (FY2021 to FY2026).
- In prior fiscal years, Walmart's Total Debt was $39.1 billion in FY2025 (-3.4%), $40.48 billion in FY2024 (+3.2%), $39.24 billion in FY2023 (+3.1%) and $38.08 billion in FY2022 (-14.5%).
- Quarterly Total Debt has run from a low of $38.08 billion in fiscal Q4 2022 to a high of $51.46 billion in fiscal Q1 2027 over five years.
- On a year-over-year basis, Total Debt has increased in each of the last six quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q3 2023, with growth of 20.2%; the weakest was fiscal Q3 2025, with a decline of 17.6%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $51.46 billion (Q1 2027), $44.76 billion (Q4 2026) and $46.37 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 50.41 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 5.67 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 13.52 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 17.00 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 4.57 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 2.43 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 2.93 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 5.41 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 2.15 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 5.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 50.41 Bn |
| Apr 30, 2026 | 51.46 Bn |
| Jan 31, 2026 | 44.76 Bn |
| Oct 31, 2025 | 46.37 Bn |
| Jul 31, 2025 | 43.49 Bn |
| Apr 30, 2025 | 46.20 Bn |
| Jan 31, 2025 | 39.10 Bn |
| Oct 31, 2024 | 40.47 Bn |
| Jul 31, 2024 | 40.05 Bn |
| Apr 30, 2024 | 43.25 Bn |
| Jan 31, 2024 | 40.48 Bn |
| Oct 31, 2023 | 49.09 Bn |
| Jul 31, 2023 | 44.25 Bn |
| Apr 30, 2023 | 43.81 Bn |
| Jan 31, 2023 | 39.24 Bn |
| Oct 31, 2022 | 46.20 Bn |
| Jul 31, 2022 | 45.75 Bn |
| Apr 30, 2022 | 47.19 Bn |
| Jan 31, 2022 | 38.08 Bn |
| Oct 31, 2021 | 38.45 Bn |
API Access
Walmart Total Debt 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-debt&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();