Lamb Weston Holdings (LW) Retained Earnings (2016 - 2026)
Lamb Weston Holdings (LW) posted Retained Earnings of $2.9 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), up 1.5% from $2.86 billion a year earlier but down 0.8% from the prior quarter.
Lamb Weston Holdings (LW) Retained Earnings (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Lamb Weston Holdings' Retained Earnings came in at $2.93 billion, up 2.8% from FY2025.
- Annual Retained Earnings has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 18.7% (FY2021 to FY2026).
- In prior fiscal years, Lamb Weston Holdings' Retained Earnings was $2.85 billion in FY2025 (+5.5%), $2.7 billion in FY2024 (+25.0%), $2.16 billion in FY2023 (+65.5%) and $1.31 billion in FY2022 (+4.9%).
- Quarterly Retained Earnings has run from a low of $1.24 billion in fiscal Q2 2022 to a high of $2.93 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Retained Earnings has increased in each of the last 35 quarters, with growth averaging 4.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 1.5% in fiscal Q1 2027 to 65.5% in fiscal Q4 2023.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $2.93 billion (Q4 2026), $2.87 billion (Q3 2026) and $2.87 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 37.23 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 5.81 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | -9.29 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 20.58 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 4.81 Bn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 7.43 Bn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | -1.18 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 2.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 2.90 Bn |
| May 31, 2026 | 2.93 Bn |
| Feb 22, 2026 | 2.87 Bn |
| Nov 23, 2025 | 2.87 Bn |
| Aug 24, 2025 | 2.86 Bn |
| May 25, 2025 | 2.85 Bn |
| Feb 23, 2025 | 2.78 Bn |
| Nov 24, 2024 | 2.69 Bn |
| Aug 25, 2024 | 2.78 Bn |
| May 26, 2024 | 2.70 Bn |
| Feb 25, 2024 | 2.62 Bn |
| Nov 26, 2023 | 2.53 Bn |
| Aug 27, 2023 | 2.35 Bn |
| May 28, 2023 | 2.16 Bn |
| Feb 26, 2023 | 1.70 Bn |
| Nov 27, 2022 | 1.57 Bn |
| Aug 28, 2022 | 1.50 Bn |
| May 29, 2022 | 1.31 Bn |
| Feb 27, 2022 | 1.31 Bn |
| Nov 28, 2021 | 1.24 Bn |
Lamb Weston Holdings 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=LW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "LW", "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=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();