Lindsay (LNN) Gross Margin (2010 - 2026)
Lindsay (LNN) posted Gross Margin of 29.75% for fiscal Q3 2026 (quarter ended May 31, 2026), down 1.89 percentage points from 31.64% a year earlier but up 2.90 percentage points from the prior quarter.
Lindsay (LNN) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Gross Margin at Lindsay was 29.46%, down 1.78 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it came in at 31.16%, down 0.31 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of -0.97 percentage points (FY2020 to FY2025).
- In prior fiscal years, Lindsay's Gross Margin was 31.47% in FY2024 (-0.13 pp), 31.60% in FY2023 (+5.76 pp), 25.84% in FY2022 (-0.62 pp) and 26.46% in FY2021 (-5.67 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 increased in two of the last eight quarters, with an average year-over-year change of -1.27 percentage points.
- 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 Q4 2021, with a drop of 13.48 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 26.85% (Q2 2026), 32.15% (Q1 2026) and 29.11% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 37.78% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 40.51% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 36.94% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 33.47% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 39.04% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 37.71% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 54.48% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 41.28% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 44.13% |
| 10 | Lindsay | 1.16 Bn | 369.91 Mn | 47.83 Mn | 29.75% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Aug 31, 2021 | 21.85% |
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();