Lsi Industries (LYTS) Intangibles (2011 - 2026)
Lsi Industries' Intangibles came in at $303.71 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 144.6% from $124.16 million a year earlier and up 21.0% from the prior quarter.
Lsi Industries (LYTS) Intangibles (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Lsi Industries' Intangibles data covers 61 quarters.
- Intangibles has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 34.9% (FY2021 to FY2026).
- Going back by fiscal year, Intangibles was $124.16 million in FY2025 (+8.9%), $114.01 million in FY2024 (+15.9%), $98.34 million in FY2023 (unchanged) and $98.34 million in FY2022 (+44.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Intangibles in data going back to fiscal Q4 2011.
- Year-over-year, Intangibles has increased for nine consecutive quarters, with growth averaging 41.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Intangibles ranged from 0.0% (fiscal Q1 2023) to 251.9% (fiscal Q3 2022).
- Business Quant data shows LYTS's Intangibles at $250.96 million (Q3 2026), $124.11 million (Q2 2026) and $123.96 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.80 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 8.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.05 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn | 303.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 303.71 Mn |
| Mar 31, 2026 | 250.96 Mn |
| Dec 31, 2025 | 124.11 Mn |
| Sep 30, 2025 | 123.96 Mn |
| Jun 30, 2025 | 124.16 Mn |
| Mar 31, 2025 | 123.96 Mn |
| Dec 31, 2024 | 114.01 Mn |
| Sep 30, 2024 | 114.01 Mn |
| Jun 30, 2024 | 114.01 Mn |
| Mar 31, 2024 | 98.34 Mn |
| Dec 31, 2023 | 98.34 Mn |
| Sep 30, 2023 | 98.34 Mn |
| Jun 30, 2023 | 98.34 Mn |
| Mar 31, 2023 | 98.34 Mn |
| Dec 31, 2022 | 98.34 Mn |
| Sep 30, 2022 | 98.34 Mn |
| Jun 30, 2022 | 98.34 Mn |
| Mar 31, 2022 | 98.34 Mn |
| Dec 31, 2021 | 98.34 Mn |
| Sep 30, 2021 | 98.34 Mn |
Lsi Industries Intangibles 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=intangibles&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();