Lamb Weston Holdings (LW) Accumulated Expenses (2016 - 2026)
Lamb Weston Holdings (LW) recorded Accumulated Expenses of $427.8 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), up 2.9% from $415.9 million a year earlier but down 11.3% from the prior quarter.
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Analysis
Lamb Weston Holdings (LW) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Lamb Weston Holdings reported Accumulated Expenses of $482.4 million, up 17.4% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 16.3% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $411 million in FY2025 (+0.8%), $407.6 million in FY2024 (-20.0%), $509.8 million in FY2023 (+92.9%) and $264.3 million in FY2022 (+16.5%).
- Quarterly Accumulated Expenses has ranged from $215.4 million in fiscal Q2 2022 to $509.8 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 92.9% in fiscal Q4 2023, against a decline of 20.0% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $482.4 million (Q4 2026), $460 million (Q3 2026) and $424.2 million (Q2 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 427.80 Mn |
| May 31, 2026 | 482.40 Mn |
| Feb 22, 2026 | 460.00 Mn |
| Nov 23, 2025 | 424.20 Mn |
| Aug 24, 2025 | 415.90 Mn |
| May 25, 2025 | 411.00 Mn |
| Feb 23, 2025 | 391.90 Mn |
| Nov 24, 2024 | 390.80 Mn |
| Aug 25, 2024 | 448.00 Mn |
| May 26, 2024 | 407.60 Mn |
| Feb 25, 2024 | 454.40 Mn |
| Nov 26, 2023 | 434.00 Mn |
| Aug 27, 2023 | 411.00 Mn |
| May 28, 2023 | 509.80 Mn |
| Feb 26, 2023 | 308.90 Mn |
| Nov 27, 2022 | 296.70 Mn |
| Aug 28, 2022 | 276.30 Mn |
| May 29, 2022 | 264.30 Mn |
| Feb 27, 2022 | 231.40 Mn |
| Nov 28, 2021 | 215.40 Mn |
API Access
Lamb Weston Holdings 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=accumulated-expenses&ticker=LW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();