Lamb Weston Holdings (LW) EBITDA (2015 - 2026)
Lamb Weston Holdings (LW) reported EBITDA of $183.1 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 27.3% from $251.8 million a year earlier and down 33.1% from the prior quarter.
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Analysis
Lamb Weston Holdings (LW) EBITDA (2015 - 2026) Analysis & Trends
Over the twelve months ended Aug 30, 2026, Lamb Weston Holdings' EBITDA came in at $919.1 million, down 7.1% year-over-year; for FY2026 (ended May 31, 2026), it came in at $987.8 million, down 5.0% from FY2025.
- EBITDA has a five-year compound annual growth rate of 8.3% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $1.04 billion in FY2025 (-24.2%), $1.37 billion in FY2024 (+24.2%), $1.1 billion in FY2023 (+73.6%) and $636.5 million in FY2022 (-3.9%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly EBITDA since fiscal Q2 2025.
- Year over year, EBITDA has now declined in each of the last three quarters, with an average decline of 8.8% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q2 2023 (growth of 100.0%); the low point was fiscal Q2 2025 (a decline of 63.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $273.7 million (Q4 2026), $226.9 million (Q3 2026) and $235.4 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Lamb Weston Holdings | 7.38 Bn | 7.00 Bn | 266.50 Mn | 183.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 183.10 Mn |
| May 31, 2026 | 273.70 Mn |
| Feb 22, 2026 | 226.90 Mn |
| Nov 23, 2025 | 235.40 Mn |
| Aug 24, 2025 | 251.80 Mn |
| May 25, 2025 | 280.80 Mn |
| Feb 23, 2025 | 317.50 Mn |
| Nov 24, 2024 | 139.00 Mn |
| Aug 25, 2024 | 302.60 Mn |
| May 26, 2024 | 299.30 Mn |
| Feb 25, 2024 | 303.20 Mn |
| Nov 26, 2023 | 376.20 Mn |
| Aug 27, 2023 | 393.40 Mn |
| May 28, 2023 | 256.50 Mn |
| Feb 26, 2023 | 317.60 Mn |
| Nov 27, 2022 | 324.00 Mn |
| Aug 28, 2022 | 206.80 Mn |
| May 29, 2022 | 185.70 Mn |
| Feb 27, 2022 | 181.30 Mn |
| Nov 28, 2021 | 162.00 Mn |
API Access
Lamb Weston Holdings EBITDA 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=ebitda&ticker=LW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();