Lindsay (LNN) Property, Plant & Equipment (Net) (2010 - 2026)
Lindsay (LNN) reported Property, Plant & Equipment (Net) of $166.39 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 27.4% from $130.61 million a year earlier and up 2.3% from the prior quarter.
Lindsay (LNN) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Lindsay posted Property, Plant & Equipment (Net) of $142.31 million, up 26.1% from FY2024.
- Property, Plant & Equipment (Net) has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- By fiscal year, Property, Plant & Equipment (Net) came in at $112.82 million in FY2024 (+13.2%), $99.68 million in FY2023 (+5.5%), $94.47 million in FY2022 (+2.7%) and $92 million in FY2021 (+15.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q1 2011.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last 29 quarters, with growth averaging 21.5% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 1.7% (fiscal Q2 2023) and 31.5% (fiscal Q1 2026) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $162.62 million (Q2 2026), $155.14 million (Q1 2026) and $142.31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Lindsay | 1.16 Bn | 371.64 Mn | 47.83 Mn | 166.39 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 166.39 Mn |
| Feb 28, 2026 | 162.62 Mn |
| Nov 30, 2025 | 155.14 Mn |
| Aug 31, 2025 | 142.31 Mn |
| May 31, 2025 | 130.61 Mn |
| Feb 28, 2025 | 124.76 Mn |
| Nov 30, 2024 | 117.98 Mn |
| Aug 31, 2024 | 112.82 Mn |
| May 31, 2024 | 111.63 Mn |
| Feb 29, 2024 | 110.69 Mn |
| Nov 30, 2023 | 103.82 Mn |
| Aug 31, 2023 | 99.68 Mn |
| May 31, 2023 | 96.99 Mn |
| Feb 28, 2023 | 93.84 Mn |
| Nov 30, 2022 | 93.52 Mn |
| Aug 31, 2022 | 94.47 Mn |
| May 31, 2022 | 94.44 Mn |
| Feb 28, 2022 | 92.29 Mn |
| Nov 30, 2021 | 91.64 Mn |
| Aug 31, 2021 | 92.00 Mn |
Lindsay Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();