Walmart (WMT) Payables (2009 - 2026)
Walmart (WMT) recorded Payables of $78.75 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 16.3% from $67.71 billion a year earlier but down 0.9% from the prior quarter.
Walmart (WMT) Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart reported Payables of $69.66 billion, up 12.8% from FY2025.
- Annual Payables has increased for three straight fiscal years, with a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $61.77 billion in FY2025 (+7.0%), $57.71 billion in FY2024 (+6.6%), $54.14 billion in FY2023 (-2.7%) and $55.67 billion in FY2022 (+12.8%).
- Quarterly Payables has ranged from $54.14 billion in fiscal Q4 2023 to $79.47 billion in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Payables has increased for seven consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Peak year-over-year performance for Payables in the last five years was growth of 29.8% in fiscal Q1 2023, against a decline of 12.2% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $79.47 billion (Q1 2027), $69.66 billion (Q4 2026) and $77.47 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 78.75 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 22.36 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 6.64 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 10.78 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 4.35 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 853.66 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 1.63 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 2.96 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 1.76 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 3.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 78.75 Bn |
| Apr 30, 2026 | 79.47 Bn |
| Jan 31, 2026 | 69.66 Bn |
| Oct 31, 2025 | 77.47 Bn |
| Jul 31, 2025 | 67.71 Bn |
| Apr 30, 2025 | 68.96 Bn |
| Jan 31, 2025 | 61.77 Bn |
| Oct 31, 2024 | 68.12 Bn |
| Jul 31, 2024 | 63.25 Bn |
| Apr 30, 2024 | 66.54 Bn |
| Jan 31, 2024 | 57.71 Bn |
| Oct 31, 2023 | 72.52 Bn |
| Jul 31, 2023 | 64.19 Bn |
| Apr 30, 2023 | 60.58 Bn |
| Jan 31, 2023 | 54.14 Bn |
| Oct 31, 2022 | 65.60 Bn |
| Jul 31, 2022 | 67.87 Bn |
| Apr 30, 2022 | 68.99 Bn |
| Jan 31, 2022 | 55.67 Bn |
| Oct 31, 2021 | 59.13 Bn |
Walmart Payables 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=payables&ticker=WMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();