Lamb Weston Holdings (LW) Other Non-Current Liabilities (2016 - 2026)
Lamb Weston Holdings (LW) reported Other Non-Current Liabilities of $244.2 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 3.9% from $254 million a year earlier and down 1.1% from the prior quarter.
Lamb Weston Holdings (LW) Other Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Lamb Weston Holdings posted Other Non-Current Liabilities of $247 million, up 1.8% from FY2025.
- Other Non-Current Liabilities has a five-year compound annual growth rate of 0.1% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Liabilities came in at $242.6 million in FY2025 (-6.0%), $258.2 million in FY2024 (+4.2%), $247.8 million in FY2023 (+16.9%) and $211.9 million in FY2022 (-13.7%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $199.3 million in fiscal Q2 2023 and a high of $258.2 million in fiscal Q4 2024.
- Year over year, Other Non-Current Liabilities gained in four of the last eight quarters, with an average decline of 0.7%.
- The high point for year-over-year Other Non-Current Liabilities in five years was fiscal Q2 2024 (growth of 23.9%); the low point was fiscal Q2 2023 (a decline of 18.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $247 million (Q4 2026), $241.2 million (Q3 2026) and $251.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 244.20 Mn |
| May 31, 2026 | 247.00 Mn |
| Feb 22, 2026 | 241.20 Mn |
| Nov 23, 2025 | 251.30 Mn |
| Aug 24, 2025 | 254.00 Mn |
| May 25, 2025 | 242.60 Mn |
| Feb 23, 2025 | 245.10 Mn |
| Nov 24, 2024 | 251.40 Mn |
| Aug 25, 2024 | 251.00 Mn |
| May 26, 2024 | 258.20 Mn |
| Feb 25, 2024 | 241.80 Mn |
| Nov 26, 2023 | 247.00 Mn |
| Aug 27, 2023 | 246.90 Mn |
| May 28, 2023 | 247.80 Mn |
| Feb 26, 2023 | 230.50 Mn |
| Nov 27, 2022 | 199.30 Mn |
| Aug 28, 2022 | 200.60 Mn |
| May 29, 2022 | 211.90 Mn |
| Feb 27, 2022 | 226.70 Mn |
| Nov 28, 2021 | 243.90 Mn |
Lamb Weston Holdings Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=LW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();