Lamb Weston Holdings (LW) Enterprise Value (2016 - 2026)
Lamb Weston Holdings' (LW) quarterly Enterprise Value came in at $5.9 billion in Q2 2026, down 15.84% year-over-year from $7.0 billion in Q2 2025, and down 11.19% quarter-over-quarter from $6.6 billion in Q1 2026.
Lamb Weston Holdings (LW) Enterprise Value (2016 - 2026) Analysis & Trends
Lamb Weston Holdings has disclosed Enterprise Value across 11 years of filings, most recently posting $5.9 billion for Q2 2026.
- In Q2 2026, Enterprise Value fell 15.84% year-over-year to $5.9 billion; the TTM figure through May 2026 stood at $5.9 billion (down 15.84% YoY), while the FY2026 annual figure was $5.9 billion, down 15.84% from the prior year.
- Enterprise Value came in at $5.9 billion for Q2 2026 at Lamb Weston Holdings, down from $6.6 billion in the prior quarter.
- In the past five years, Enterprise Value ranged from a high of $15.6 billion in Q2 2023 to a low of $5.9 billion in Q2 2026.
- Average Enterprise Value over 5 years is $10.5 billion, with a median of $10.1 billion recorded in 2022.
- Year-over-year, Enterprise Value soared 70.16% in 2022 and plunged 47.12% in 2025.
- Over 5 years, Enterprise Value stood at $12.0 billion in 2022, then rose by 18.95% to $14.2 billion in 2023, then fell by 23.53% to $10.9 billion in 2024, then fell by 27.22% to $7.9 billion in 2025, then fell by 25.98% to $5.9 billion in 2026.
- Per Business Quant data, the three most recent Enterprise Value figures were $5.9 billion in Q2 2026, $6.6 billion in Q1 2026, and $7.9 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 5.87 Bn |
| Feb 22, 2026 | 6.61 Bn |
| Nov 23, 2025 | 7.93 Bn |
| Aug 24, 2025 | 7.84 Bn |
| May 25, 2025 | 6.97 Bn |
| Feb 23, 2025 | 7.81 Bn |
| Nov 24, 2024 | 10.89 Bn |
| Aug 25, 2024 | 8.82 Bn |
| May 26, 2024 | 12.75 Bn |
| Feb 25, 2024 | 14.76 Bn |
| Nov 26, 2023 | 14.24 Bn |
| Aug 27, 2023 | 13.80 Bn |
| May 28, 2023 | 15.64 Bn |
| Feb 26, 2023 | 13.89 Bn |
| Nov 27, 2022 | 11.98 Bn |
| Aug 28, 2022 | 11.12 Bn |
| May 29, 2022 | 9.27 Bn |
| Feb 27, 2022 | 9.37 Bn |
| Nov 28, 2021 | 7.04 Bn |
| Aug 29, 2021 | 8.79 Bn |
Lamb Weston Holdings Enterprise Value 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=enterprise-value&ticker=LW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();