Lamb Weston Holdings (LW) Operating Expenses (2015 - 2026)
Lamb Weston Holdings (LW) recorded Operating Expenses of $184.3 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 0.9% from $185.9 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Lamb Weston Holdings (LW) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Lamb Weston Holdings' Operating Expenses came in at $767 million as of Aug 30, 2026, down 1.1% year-over-year; for FY2026 (ended May 31, 2026), it came in at $768.6 million, up 4.8% from FY2025.
- Annual Operating Expenses has increased for nine straight fiscal years, with a five-year compound annual growth rate of 16.6% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $733.5 million in FY2025 (+4.6%), $701.4 million in FY2024 (+27.5%), $550 million in FY2023 (+41.9%) and $387.6 million in FY2022 (+8.5%).
- The fiscal Q1 2027 figure is the lowest quarterly Operating Expenses since fiscal Q4 2025.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 9.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 62.8% in fiscal Q4 2023, against a decline of 28.6% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $192.6 million (Q4 2026), $205 million (Q3 2026) and $185.1 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 184.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 184.30 Mn |
| May 31, 2026 | 192.60 Mn |
| Feb 22, 2026 | 205.00 Mn |
| Nov 23, 2025 | 185.10 Mn |
| Aug 24, 2025 | 185.90 Mn |
| May 25, 2025 | 156.50 Mn |
| Feb 23, 2025 | 173.80 Mn |
| Nov 24, 2024 | 259.30 Mn |
| Aug 25, 2024 | 143.90 Mn |
| May 26, 2024 | 175.40 Mn |
| Feb 25, 2024 | 179.80 Mn |
| Nov 26, 2023 | 170.00 Mn |
| Aug 27, 2023 | 176.20 Mn |
| May 28, 2023 | 192.40 Mn |
| Feb 26, 2023 | 131.50 Mn |
| Nov 27, 2022 | 109.80 Mn |
| Aug 28, 2022 | 116.30 Mn |
| May 29, 2022 | 118.20 Mn |
| Feb 27, 2022 | 87.20 Mn |
| Nov 28, 2021 | 91.10 Mn |
API Access
Lamb Weston Holdings Operating 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=operating-expenses&ticker=LW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();