Lsi Industries (LYTS) Return on Sales [ROS] (2010 - 2026)
Lsi Industries' Return on Sales [ROS] was 6.18% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.53 percentage points from 7.70% a year earlier but up 3.47 percentage points from the prior quarter.
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Analysis
Lsi Industries (LYTS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Sales [ROS] at Lsi Industries came in at 5.57%, down 0.67 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +3.03 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 6.24% in FY2025 (-1.32 pp), 7.56% in FY2024 (+0.11 pp), 7.45% in FY2023 (+2.79 pp) and 4.66% in FY2022 (+2.11 pp).
- Quarterly Return on Sales [ROS] has moved between 2.71% (fiscal Q3 2026) and 8.93% (fiscal Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -1.03 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2022 (a gain of 4.55 percentage points); the worst was fiscal Q3 2025 (a drop of 2.37 percentage points).
- Per Business Quant data, LYTS's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was 2.71% (Q3 2026), 6.03% (Q2 2026) and 6.98% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Lsi Industries | 785.67 Mn | 747.54 Mn | 57.42 Mn | 6.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.18% |
| Mar 31, 2026 | 2.71% |
| Dec 31, 2025 | 6.03% |
| Sep 30, 2025 | 6.98% |
| Jun 30, 2025 | 7.70% |
| Mar 31, 2025 | 4.71% |
| Dec 31, 2024 | 5.73% |
| Sep 30, 2024 | 6.61% |
| Jun 30, 2024 | 6.98% |
| Mar 31, 2024 | 7.08% |
| Dec 31, 2023 | 7.17% |
| Sep 30, 2023 | 8.93% |
| Jun 30, 2023 | 8.28% |
| Mar 31, 2023 | 6.58% |
| Dec 31, 2022 | 7.02% |
| Sep 30, 2022 | 7.89% |
| Jun 30, 2022 | 5.63% |
| Mar 31, 2022 | 4.69% |
| Dec 31, 2021 | 3.98% |
| Sep 30, 2021 | 4.18% |
API Access
Lsi Industries Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();