Lamb Weston Holdings (LW) Net Long-Term Debt Issued (Repaid) (2016 - 2026)
Lamb Weston Holdings' Non-Current Debt was -$217.1 million in FY2026 (year ended May 31, 2026), compared with -$276.6 million in FY2025.
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Analysis
Lamb Weston Holdings (LW) Net Long-Term Debt Issued (Repaid) (2016 - 2026) Analysis & Trends
- Per Business Quant data, Non-Current Debt in earlier fiscal years was -$276.6 million in FY2025 and -$401.1 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.28 Bn | 96.74 Bn | - | - |
| 2 | Mondelez International | 84.79 Bn | 77.80 Bn | 3.92 Bn | -967.00 Mn |
| 3 | Hershey | 34.79 Bn | 31.52 Bn | 1.51 Bn | -501.66 Mn |
| 4 | Kraft Heinz | 28.94 Bn | 16.59 Bn | 1.99 Bn | -1.00 Bn |
| 5 | General Mills | 18.77 Bn | 16.41 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.22 Bn | 14.00 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.91 Bn | 11.98 Bn | 794.90 Mn | -1.70 Mn |
| 8 | Hormel Foods | 12.24 Bn | 8.91 Bn | 471.52 Mn | -1.77 Mn |
| 9 | Chewy | 9.37 Bn | 6.66 Bn | 1.01 Bn | -220.00 Mn |
| 10 | Lamb Weston Holdings | 7.83 Bn | 7.46 Bn | 266.50 Mn | -16.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | -16.50 Mn |
| May 31, 2026 | 103.50 Mn |
| Feb 22, 2026 | -19.20 Mn |
| Nov 23, 2025 | -19.50 Mn |
| Aug 24, 2025 | -16.20 Mn |
| May 25, 2025 | -21.10 Mn |
| Feb 23, 2025 | -5.00 Mn |
| Nov 24, 2024 | 281.70 Mn |
| Aug 25, 2024 | -6.90 Mn |
| May 26, 2024 | 182.80 Mn |
| Feb 25, 2024 | 7.40 Mn |
| Nov 26, 2023 | -700,000.00 |
| Aug 27, 2023 | 1.40 Mn |
| May 28, 2023 | 10.70 Mn |
| Feb 26, 2023 | 479.60 Mn |
| Nov 27, 2022 | 800,000.00 |
| Aug 28, 2022 | 5.80 Mn |
| May 29, 2022 | -1.10 Mn |
| Feb 27, 2022 | 5.80 Mn |
| Nov 28, 2021 | -1.67 Bn |
API Access
Lamb Weston Holdings Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=LW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();