Walmart (WMT) Receivables (2009 - 2026)
Walmart (WMT) recorded Receivables of $11.08 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.3% from $10.52 billion a year earlier and up 3.9% from the prior quarter.
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Analysis
Walmart (WMT) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart reported Receivables of $11.17 billion, up 12.0% from FY2025.
- Annual Receivables has increased for three straight fiscal years, with a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $9.98 billion in FY2025 (+13.4%), $8.8 billion in FY2024 (+10.9%), $7.93 billion in FY2023 (-4.2%) and $8.28 billion in FY2022 (+27.1%).
- Quarterly Receivables has ranged from $3.4 billion in fiscal Q4 2022 to $12.12 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for ten consecutive quarters, with growth averaging 31.7% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 153.9% in fiscal Q4 2026, against a decline of 0.4% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.66 billion (Q1 2027), $11.17 billion (Q4 2026) and $12.12 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.75 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | - |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 3.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.08 Bn |
| Apr 30, 2026 | 10.66 Bn |
| Jan 31, 2026 | 11.17 Bn |
| Oct 31, 2025 | 12.12 Bn |
| Jul 31, 2025 | 10.52 Bn |
| Apr 30, 2025 | 9.69 Bn |
| Jan 31, 2025 | 4.40 Bn |
| Oct 31, 2024 | 10.04 Bn |
| Jul 31, 2024 | 8.65 Bn |
| Apr 30, 2024 | 9.08 Bn |
| Jan 31, 2024 | 3.70 Bn |
| Oct 31, 2023 | 8.63 Bn |
| Jul 31, 2023 | 7.89 Bn |
| Apr 30, 2023 | 7.65 Bn |
| Jan 31, 2023 | 3.70 Bn |
| Oct 31, 2022 | 8.22 Bn |
| Jul 31, 2022 | 7.52 Bn |
| Apr 30, 2022 | 7.67 Bn |
| Jan 31, 2022 | 3.40 Bn |
| Oct 31, 2021 | 7.35 Bn |
API Access
Walmart Receivables 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=receivables&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();