Lindsay (LNN) Gross Margin (2009 - 2026)
Lindsay (LNN) posted Gross Margin of 26.92% for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 2.19 percentage points from 29.11% a year earlier and down 2.83 percentage points from the prior quarter.
Lindsay (LNN) Gross Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Lindsay's Gross Margin came in at 28.90%, down 2.26 percentage points from FY2025.
- Annual Gross Margin has declined for three consecutive fiscal years, though with a five-year change of +2.44 percentage points (FY2021 to FY2026).
- In prior fiscal years, Lindsay's Gross Margin was 31.16% in FY2025 (-0.31 pp), 31.47% in FY2024 (-0.13 pp), 31.60% in FY2023 (+5.76 pp) and 25.84% in FY2022 (-0.62 pp).
- Quarterly Gross Margin has run from a low of 21.46% in fiscal Q2 2022 to a high of 33.40% in fiscal Q2 2025 over five years.
- On a year-over-year basis, Gross Margin has declined in each of the last three quarters, with an average year-over-year change of -1.31 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q2 2023, with a gain of 11.18 percentage points; the weakest was fiscal Q2 2022, with a drop of 7.22 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 29.75% (Q3 2026), 26.85% (Q2 2026) and 32.15% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 35.54% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 39.26% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 36.94% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 34.70% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 37.73% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 42.27% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 52.68% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 45.09% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 38.11% |
| 10 | Lindsay | 1.11 Bn | 380.84 Mn | 43.50 Mn | 26.92% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 26.92% |
| May 31, 2026 | 29.75% |
| Feb 28, 2026 | 26.85% |
| Nov 30, 2025 | 32.15% |
| Aug 31, 2025 | 29.11% |
| May 31, 2025 | 31.64% |
| Feb 28, 2025 | 33.40% |
| Nov 30, 2024 | 30.05% |
| Aug 31, 2024 | 29.48% |
| May 31, 2024 | 33.40% |
| Feb 29, 2024 | 32.31% |
| Nov 30, 2023 | 30.93% |
| Aug 31, 2023 | 31.42% |
| May 31, 2023 | 32.34% |
| Feb 28, 2023 | 32.64% |
| Nov 30, 2022 | 30.10% |
| Aug 31, 2022 | 30.03% |
| May 31, 2022 | 28.79% |
| Feb 28, 2022 | 21.46% |
| Nov 30, 2021 | 22.53% |
Lindsay Gross Margin 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=gross-margin&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();