Lamb Weston Holdings (LW) Total Non-Current Liabilities (2016 - 2026)
Lamb Weston Holdings (LW) posted Total Non-Current Liabilities of $4.11 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 1.9% from $4.19 billion a year earlier and down 0.8% from the prior quarter.
Lamb Weston Holdings (LW) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Lamb Weston Holdings' Total Non-Current Liabilities came in at $4.14 billion, down 0.9% from FY2025.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- In prior fiscal years, Lamb Weston Holdings' Total Non-Current Liabilities was $4.18 billion in FY2025 (+5.7%), $3.96 billion in FY2024 (+5.5%), $3.75 billion in FY2023 (+21.7%) and $3.08 billion in FY2022 (-1.0%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Total Non-Current Liabilities since fiscal Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last four quarters, with growth averaging 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q2 2024, with growth of 22.1%; the weakest was fiscal Q1 2027, with a decline of 1.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $4.14 billion (Q4 2026), $4.16 billion (Q3 2026) and $4.17 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | 33.96 Bn |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 8.65 Bn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 4.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 4.11 Bn |
| May 31, 2026 | 4.14 Bn |
| Feb 22, 2026 | 4.16 Bn |
| Nov 23, 2025 | 4.17 Bn |
| Aug 24, 2025 | 4.19 Bn |
| May 25, 2025 | 4.18 Bn |
| Feb 23, 2025 | 4.17 Bn |
| Nov 24, 2024 | 4.19 Bn |
| Aug 25, 2024 | 3.95 Bn |
| May 26, 2024 | 3.96 Bn |
| Feb 25, 2024 | 3.67 Bn |
| Nov 26, 2023 | 3.76 Bn |
| Aug 27, 2023 | 3.75 Bn |
| May 28, 2023 | 3.75 Bn |
| Feb 26, 2023 | 3.56 Bn |
| Nov 27, 2022 | 3.08 Bn |
| Aug 28, 2022 | 3.12 Bn |
| May 29, 2022 | 3.08 Bn |
| Feb 27, 2022 | 3.10 Bn |
| Nov 28, 2021 | 3.10 Bn |
Lamb Weston Holdings Total 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=total-non-current-liabilities&ticker=LW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();