Lamb Weston Holdings (LW) Total Current Liabilities (2016 - 2026)
Lamb Weston Holdings' Total Current Liabilities came in at $1.41 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), up 12.0% from $1.26 billion a year earlier but down 0.5% from the prior quarter.
Lamb Weston Holdings (LW) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Lamb Weston Holdings' Total Current Liabilities was $1.42 billion, down 4.1% from FY2025.
- Total Current Liabilities carries a five-year compound annual growth rate of 18.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $1.48 billion in FY2025 (-9.1%), $1.62 billion in FY2024 (+19.4%), $1.36 billion in FY2023 (+94.6%) and $699.1 million in FY2022 (+13.1%).
- The five-year range for quarterly Total Current Liabilities is $612.9 million (fiscal Q3 2022) to $1.82 billion (fiscal Q3 2024).
- Year-over-year, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 8.2%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q3 2024 (growth of 122.2%), and the weakest in fiscal Q1 2026 (a decline of 27.3%).
- Business Quant data shows LW's Total Current Liabilities at $1.42 billion (Q4 2026), $1.41 billion (Q3 2026) and $1.4 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | 33.00 Bn |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 6.94 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 2.29 Bn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 4.42 Bn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 1.41 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 1.41 Bn |
| May 31, 2026 | 1.42 Bn |
| Feb 22, 2026 | 1.41 Bn |
| Nov 23, 2025 | 1.40 Bn |
| Aug 24, 2025 | 1.26 Bn |
| May 25, 2025 | 1.48 Bn |
| Feb 23, 2025 | 1.62 Bn |
| Nov 24, 2024 | 1.63 Bn |
| Aug 25, 2024 | 1.73 Bn |
| May 26, 2024 | 1.62 Bn |
| Feb 25, 2024 | 1.82 Bn |
| Nov 26, 2023 | 1.62 Bn |
| Aug 27, 2023 | 1.29 Bn |
| May 28, 2023 | 1.36 Bn |
| Feb 26, 2023 | 817.30 Mn |
| Nov 27, 2022 | 918.50 Mn |
| Aug 28, 2022 | 780.30 Mn |
| May 29, 2022 | 699.10 Mn |
| Feb 27, 2022 | 612.90 Mn |
| Nov 28, 2021 | 693.00 Mn |
Lamb Weston Holdings Total 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-current-liabilities&ticker=LW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();