Walmart (WMT) Retained Earnings (2009 - 2026)
Walmart (WMT) posted Retained Earnings of $103.6 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.6% from $96.33 billion a year earlier and up 3.4% from the prior quarter.
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Analysis
Walmart (WMT) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Walmart's Retained Earnings came in at $104.77 billion, up 6.6% from FY2025.
- Annual Retained Earnings has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 3.4% (FY2021 to FY2026).
- In prior fiscal years, Walmart's Retained Earnings was $98.31 billion in FY2025 (+9.5%), $89.81 billion in FY2024 (+8.0%), $83.14 billion in FY2023 (-4.3%) and $86.9 billion in FY2022 (-2.1%).
- Quarterly Retained Earnings has run from a low of $77.95 billion in fiscal Q3 2023 to a high of $104.77 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Retained Earnings has increased in each of the last 13 quarters, with growth averaging 7.7% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q1 2025, with growth of 11.8%; the weakest was fiscal Q3 2023, with a decline of 9.0%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $100.24 billion (Q1 2027), $104.77 billion (Q4 2026) and $101.56 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 26.48 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 103.60 Bn |
| Apr 30, 2026 | 100.24 Bn |
| Jan 31, 2026 | 104.77 Bn |
| Oct 31, 2025 | 101.56 Bn |
| Jul 31, 2025 | 96.33 Bn |
| Apr 30, 2025 | 90.85 Bn |
| Jan 31, 2025 | 98.31 Bn |
| Oct 31, 2024 | 94.44 Bn |
| Jul 31, 2024 | 90.79 Bn |
| Apr 30, 2024 | 87.23 Bn |
| Jan 31, 2024 | 89.81 Bn |
| Oct 31, 2023 | 85.83 Bn |
| Jul 31, 2023 | 85.47 Bn |
| Apr 30, 2023 | 78.04 Bn |
| Jan 31, 2023 | 83.14 Bn |
| Oct 31, 2022 | 77.95 Bn |
| Jul 31, 2022 | 82.52 Bn |
| Apr 30, 2022 | 80.53 Bn |
| Jan 31, 2022 | 86.90 Bn |
| Oct 31, 2021 | 85.67 Bn |
API Access
Walmart Retained Earnings 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=retained-earnings&ticker=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();