Lindsay (LNN) Return on Sales [ROS] (2010 - 2026)
Lindsay's Return on Sales [ROS] came in at 11.52% for fiscal Q3 2026 (quarter ended May 31, 2026), down 2.52 percentage points from 14.04% a year earlier but up 3.26 percentage points from the prior quarter.
Lindsay (LNN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Lindsay reported Return on Sales [ROS] of 9.95%, down 3.37 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it came in at 13.03%, up 0.41 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1.61 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 12.62% in FY2024 (-2.54 pp), 15.16% in FY2023 (+2.88 pp), 12.28% in FY2022 (+2.75 pp) and 9.53% in FY2021 (-1.89 pp).
- The five-year range for quarterly Return on Sales [ROS] is 6.13% (fiscal Q4 2021) to 17.17% (fiscal Q2 2025).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -2.03 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2022 (a gain of 8.47 percentage points), and the weakest in fiscal Q2 2026 (a drop of 8.92 percentage points).
- Business Quant data shows LNN's Return on Sales [ROS] at 8.25% (Q2 2026), 12.58% (Q1 2026) and 7.38% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Lindsay | 1.16 Bn | 371.64 Mn | 47.83 Mn | 11.52% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 11.52% |
| Feb 28, 2026 | 8.25% |
| Nov 30, 2025 | 12.58% |
| Aug 31, 2025 | 7.38% |
| May 31, 2025 | 14.04% |
| Feb 28, 2025 | 17.17% |
| Nov 30, 2024 | 12.56% |
| Aug 31, 2024 | 8.71% |
| May 31, 2024 | 14.32% |
| Feb 29, 2024 | 14.58% |
| Nov 30, 2023 | 13.06% |
| Aug 31, 2023 | 13.98% |
| May 31, 2023 | 16.38% |
| Feb 28, 2023 | 16.40% |
| Nov 30, 2022 | 13.96% |
| Aug 31, 2022 | 14.61% |
| May 31, 2022 | 16.41% |
| Feb 28, 2022 | 9.16% |
| Nov 30, 2021 | 8.04% |
| Aug 31, 2021 | 6.13% |
Lindsay 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=LNN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LNN", "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=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();