Lsi Industries (LYTS) Return on Assets [ROA] (2011 - 2026)
Lsi Industries' Return on Assets [ROA] was 2.77% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.47 percentage points from 6.24% a year earlier and down 1.22 percentage points from the prior quarter.
Lsi Industries (LYTS) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Assets [ROA] at Lsi Industries came in at 3.68%, down 2.86 percentage points from FY2025.
- Return on Assets [ROA] has now declined for three consecutive fiscal years, though with a five-year change of +1.13 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Assets [ROA] was 6.54% in FY2025 (-1.20 pp), 7.75% in FY2024 (-0.74 pp), 8.49% in FY2023 (+3.46 pp) and 5.03% in FY2022 (+2.47 pp).
- The fiscal Q4 2026 figure marks the lowest quarterly Return on Assets [ROA] since fiscal Q2 2022.
- Compared with a year earlier, Return on Assets [ROA] has declined for nine straight quarters, with an average year-over-year change of -2.06 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q3 2023 (a gain of 4.41 percentage points); the worst was fiscal Q3 2025 (a drop of 3.63 percentage points).
- Per Business Quant data, LYTS's Return on Assets [ROA] in the three fiscal quarters before Q4 2026 was 3.99% (Q3 2026), 6.41% (Q2 2026) and 6.23% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 10.94% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 11.93% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 6.89% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 11.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.82% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 6.12% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 8.56% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 19.50% |
| 10 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn | 2.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.77% |
| Mar 31, 2026 | 3.99% |
| Dec 31, 2025 | 6.41% |
| Sep 30, 2025 | 6.23% |
| Jun 30, 2025 | 6.24% |
| Mar 31, 2025 | 6.00% |
| Dec 31, 2024 | 6.73% |
| Sep 30, 2024 | 6.77% |
| Jun 30, 2024 | 7.84% |
| Mar 31, 2024 | 9.63% |
| Dec 31, 2023 | 9.17% |
| Sep 30, 2023 | 9.21% |
| Jun 30, 2023 | 8.78% |
| Mar 31, 2023 | 7.67% |
| Dec 31, 2022 | 6.97% |
| Sep 30, 2022 | 5.76% |
| Jun 30, 2022 | 4.82% |
| Mar 31, 2022 | 3.26% |
| Dec 31, 2021 | 2.62% |
| Sep 30, 2021 | 2.39% |
Lsi Industries Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();