Lindsay (LNN) Research & Development (2010 - 2026)
Lindsay's Research & Development was $4.65 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 1.3% from $4.71 million a year earlier but up 14.1% from the prior quarter.
Lindsay (LNN) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lindsay's Research & Development was $18.56 million through May 31, 2026, up 7.1% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $17.93 million, up 4.7% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In earlier fiscal years, Research & Development was $17.12 million in FY2024 (-6.0%), $18.22 million in FY2023 (+20.3%), $15.15 million in FY2022 (+13.4%) and $13.36 million in FY2021 (-4.2%).
- Quarterly Research & Development has moved between $3.21 million (fiscal Q1 2022) and $5.2 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Research & Development was higher in four of the last eight quarters, with growth averaging 3.7%.
- The best year-over-year quarter for Research & Development over five years was fiscal Q1 2023 (growth of 34.3%); the worst was fiscal Q2 2024 (a decline of 13.9%).
- Per Business Quant data, LNN's Research & Development in the three fiscal quarters before Q3 2026 was $4.08 million (Q2 2026), $4.64 million (Q1 2026) and $5.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 616.00 Mn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | - |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 227.00 Mn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | - |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 302.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Lindsay | 1.16 Bn | 369.91 Mn | 47.83 Mn | 4.65 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.65 Mn |
| Feb 28, 2026 | 4.08 Mn |
| Nov 30, 2025 | 4.64 Mn |
| Aug 31, 2025 | 5.20 Mn |
| May 31, 2025 | 4.71 Mn |
| Feb 28, 2025 | 4.16 Mn |
| Nov 30, 2024 | 3.86 Mn |
| Aug 31, 2024 | 4.59 Mn |
| May 31, 2024 | 4.29 Mn |
| Feb 29, 2024 | 3.89 Mn |
| Nov 30, 2023 | 4.35 Mn |
| Aug 31, 2023 | 4.87 Mn |
| May 31, 2023 | 4.52 Mn |
| Feb 28, 2023 | 4.52 Mn |
| Nov 30, 2022 | 4.31 Mn |
| Aug 31, 2022 | 4.56 Mn |
| May 31, 2022 | 3.72 Mn |
| Feb 28, 2022 | 3.65 Mn |
| Nov 30, 2021 | 3.21 Mn |
| Aug 31, 2021 | 3.86 Mn |
Lindsay Research & Development 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=research-and-development&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();