Lamb Weston Holdings (LW) Return on Sales [ROS] (2015 - 2026)
Lamb Weston Holdings (LW) recorded Return on Sales [ROS] of 4.92% in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 4.51 percentage points from 9.43% a year earlier and down 4.61 percentage points from the prior quarter.
Lamb Weston Holdings (LW) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a TTM basis, Lamb Weston Holdings' Return on Sales [ROS] came in at 7.80% as of Aug 30, 2026, down 1.64 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at 8.94%, down 1.37 percentage points from FY2025.
- Annual Return on Sales [ROS] has declined for three straight fiscal years, with a five-year change of -3.99 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 10.31% in FY2025 (-6.16 pp), 16.47% in FY2024 (-0.01 pp), 16.49% in FY2023 (+5.64 pp) and 10.84% in FY2022 (-2.09 pp).
- The fiscal Q1 2027 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -3.48 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 9.93 percentage points in fiscal Q2 2023, against a drop of 16.49 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 9.54% (Q4 2026), 8.09% (Q3 2026) and 8.60% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.42 Bn | 95.87 Bn | - | - |
| 2 | Mondelez International | 81.91 Bn | 75.17 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 34.17 Bn | 30.41 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 29.40 Bn | 15.81 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 18.49 Bn | 16.14 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 13.88 Bn | 13.66 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.93 Bn | 12.00 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.58 Bn | 8.25 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 8.92 Bn | 6.21 Bn | 1.01 Bn | 2.76% |
| 10 | Lamb Weston Holdings | 7.43 Bn | 7.06 Bn | 266.50 Mn | 4.92% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 4.92% |
| May 31, 2026 | 9.54% |
| Feb 22, 2026 | 8.09% |
| Nov 23, 2025 | 8.60% |
| Aug 24, 2025 | 9.43% |
| May 25, 2025 | 11.09% |
| Feb 23, 2025 | 16.36% |
| Nov 24, 2024 | 1.16% |
| Aug 25, 2024 | 12.82% |
| May 26, 2024 | 13.18% |
| Feb 25, 2024 | 15.35% |
| Nov 26, 2023 | 17.64% |
| Aug 27, 2023 | 19.41% |
| May 28, 2023 | 11.03% |
| Feb 26, 2023 | 21.24% |
| Nov 27, 2022 | 21.29% |
| Aug 28, 2022 | 13.95% |
| May 29, 2022 | 11.79% |
| Feb 27, 2022 | 14.01% |
| Nov 28, 2021 | 11.36% |
Lamb Weston Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();