Lamb Weston Holdings (LW) Other Accumulated Expenses (2016 - 2023)
Lamb Weston Holdings (LW) reported Other Accumulated Expenses of $79.3 million for fiscal Q2 2024 (quarter ended Nov 26, 2023), up 65.2% from $48 million a year earlier but down 8.4% from the prior quarter.
Lamb Weston Holdings (LW) Other Accumulated Expenses (2016 - 2023) Analysis & Trends
At the end of FY2023 (ended May 28, 2023), Lamb Weston Holdings posted Other Accumulated Expenses of $86.1 million, up 104.5% from FY2022.
- Other Accumulated Expenses has a five-year compound annual growth rate of 13.7% (FY2018 to FY2023).
- By fiscal year, Other Accumulated Expenses came in at $42.1 million in FY2022 (+5.5%), $39.9 million in FY2021 (-6.1%), $42.5 million in FY2020 (-12.6%) and $48.6 million in FY2019 (+7.0%).
- Five-year quarterly Other Accumulated Expenses spans a low of $36.6 million in fiscal Q2 2021 and a high of $86.6 million in fiscal Q1 2024.
- Year over year, Other Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 33.2% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q4 2023 (growth of 104.5%); the low point was fiscal Q2 2021 (a decline of 32.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2024 came in at $86.6 million (Q1 2024), $86.1 million (Q4 2023) and $36.7 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.43 Bn | 95.89 Bn | - |
| 2 | Mondelez International | 82.06 Bn | 75.33 Bn | 3.99 Bn |
| 3 | Hershey | 34.79 Bn | 31.03 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.41 Bn | 15.83 Bn | 2.03 Bn |
| 5 | General Mills | 18.61 Bn | 16.25 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.03 Bn | 13.81 Bn | 979.60 Mn |
| 7 | Mccormick | 12.96 Bn | 12.02 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.61 Bn | 8.28 Bn | 471.52 Mn |
| 9 | Chewy | 8.88 Bn | 6.17 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.56 Bn | 7.18 Bn | 266.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Nov 26, 2023 | 79.30 Mn |
| Aug 27, 2023 | 86.60 Mn |
| May 28, 2023 | 86.10 Mn |
| Feb 26, 2023 | 36.70 Mn |
| Nov 27, 2022 | 48.00 Mn |
| Aug 28, 2022 | 43.40 Mn |
| May 29, 2022 | 41.20 Mn |
| Feb 27, 2022 | 39.50 Mn |
| Nov 28, 2021 | 47.20 Mn |
| Aug 29, 2021 | 47.50 Mn |
| May 30, 2021 | 39.90 Mn |
| Feb 28, 2021 | 37.80 Mn |
| Nov 29, 2020 | 36.60 Mn |
| Aug 30, 2020 | 36.70 Mn |
| May 31, 2020 | 42.50 Mn |
| Feb 23, 2020 | 53.70 Mn |
| Nov 24, 2019 | 54.30 Mn |
| Aug 25, 2019 | 50.00 Mn |
| May 26, 2019 | 48.60 Mn |
| Feb 24, 2019 | 45.80 Mn |
Lamb Weston Holdings Other Accumulated Expenses 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-accumulated-expenses&ticker=LW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();