Lsi Industries (LYTS) Property, Plant & Equipment (Net) (2011 - 2026)
Lsi Industries' Property, Plant & Equipment (Net) was $56.71 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 82.0% from $31.15 million a year earlier but down 1.9% from the prior quarter.
Lsi Industries (LYTS) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Lsi Industries has reported Property, Plant & Equipment (Net) for 61 quarters.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 13.2% (FY2021 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $31.15 million in FY2025 (-5.5%), $32.96 million in FY2024 (+29.6%), $25.43 million in FY2023 (-6.4%) and $27.16 million in FY2022 (-11.1%).
- Quarterly Property, Plant & Equipment (Net) has moved between $25.26 million (fiscal Q3 2023) and $57.81 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in five of the last eight quarters, with growth averaging 27.3%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q3 2026 (growth of 85.0%); the worst was fiscal Q4 2022 (a decline of 11.1%).
- Per Business Quant data, LYTS's Property, Plant & Equipment (Net) in the three fiscal quarters before Q4 2026 was $57.81 million (Q3 2026), $30.37 million (Q2 2026) and $30.49 million (Q1 2026).
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 | Lsi Industries | 785.67 Mn | 747.54 Mn | 57.42 Mn | 56.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.71 Mn |
| Mar 31, 2026 | 57.81 Mn |
| Dec 31, 2025 | 30.37 Mn |
| Sep 30, 2025 | 30.49 Mn |
| Jun 30, 2025 | 31.15 Mn |
| Mar 31, 2025 | 31.25 Mn |
| Dec 31, 2024 | 31.53 Mn |
| Sep 30, 2024 | 32.22 Mn |
| Jun 30, 2024 | 32.96 Mn |
| Mar 31, 2024 | 26.11 Mn |
| Dec 31, 2023 | 26.23 Mn |
| Sep 30, 2023 | 25.53 Mn |
| Jun 30, 2023 | 25.43 Mn |
| Mar 31, 2023 | 25.26 Mn |
| Dec 31, 2022 | 25.79 Mn |
| Sep 30, 2022 | 26.28 Mn |
| Jun 30, 2022 | 27.16 Mn |
| Mar 31, 2022 | 27.98 Mn |
| Dec 31, 2021 | 28.61 Mn |
| Sep 30, 2021 | 29.46 Mn |
Lsi Industries 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=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "LYTS", "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=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();