Lamb Weston Holdings (LW) Goodwill (2016 - 2026)
Lamb Weston Holdings' (LW) quarterly Goodwill came in at $1.1 billion in Q2 2026, up 3.66% year-over-year from $1.1 billion in Q2 2025, and little changed quarter-over-quarter from $1.1 billion in Q1 2026.
Lamb Weston Holdings (LW) Goodwill (2016 - 2026) Analysis & Trends
Lamb Weston Holdings has disclosed Goodwill across 11 years of filings, most recently posting $1.1 billion for Q2 2026.
- In Q2 2026, Goodwill rose 3.66% year-over-year to $1.1 billion; the TTM figure through May 2026 stood at $1.1 billion (up 3.66% YoY), while the FY2026 annual figure was $1.1 billion, up 3.66% from the prior year.
- Goodwill came in at $1.1 billion for Q2 2026 at Lamb Weston Holdings, roughly flat from $1.1 billion in the prior quarter.
- In the past five years, Goodwill ranged from a high of $1.1 billion in Q1 2026 to a low of $8.5 million in Q4 2023.
- Average Goodwill over 5 years is $777.5 million, with a median of $1.0 billion recorded in 2023.
- Year-over-year, Goodwill slumped 86.92% in 2023 and surged 11997.65% in 2024.
- Over 5 years, Goodwill stood at $42.1 million in 2022, then slumped by 79.81% to $8.5 million in 2023, then surged by 11997.65% to $1.0 billion in 2024, then climbed by 6.92% to $1.1 billion in 2025, then advanced by 2.78% to $1.1 billion in 2026.
- Per Business Quant data, the three most recent Goodwill figures were $1.1 billion in Q2 2026, $1.1 billion in Q1 2026, and $1.1 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 | 1.13 Bn |
| Feb 22, 2026 | 1.14 Bn |
| Nov 23, 2025 | 1.10 Bn |
| Aug 24, 2025 | 1.11 Bn |
| May 25, 2025 | 1.09 Bn |
| Feb 23, 2025 | 1.03 Bn |
| Nov 24, 2024 | 1.03 Bn |
| Aug 25, 2024 | 1.09 Bn |
| May 26, 2024 | 1.06 Bn |
| Feb 25, 2024 | 1.06 Bn |
| Nov 26, 2023 | 8.50 Mn |
| Aug 27, 2023 | 1.04 Bn |
| May 28, 2023 | 1.04 Bn |
| Feb 26, 2023 | 42.10 Mn |
| Nov 27, 2022 | 42.10 Mn |
| Aug 28, 2022 | 352.20 Mn |
| May 29, 2022 | 318.00 Mn |
| Feb 27, 2022 | 321.80 Mn |
| Nov 28, 2021 | 318.60 Mn |
| Aug 29, 2021 | 323.50 Mn |
Lamb Weston Holdings Goodwill 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=goodwill&ticker=LW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();