Lsi Industries (LYTS) Net Income (2010 - 2026)
Lsi Industries' Net Income came in at $6.88 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 15.8% from $8.17 million a year earlier but up 228.8% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Net Income (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' Net Income was $22.58 million, down 7.4% from FY2025.
- Net Income has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 30.9% (FY2021 to FY2026).
- Going back by fiscal year, Net Income was $24.38 million in FY2025 (-2.4%), $24.98 million in FY2024 (-3.0%), $25.76 million in FY2023 (+71.4%) and $15.03 million in FY2022 (+156.2%).
- The five-year range for quarterly Net Income is $2.09 million (fiscal Q3 2026) to $8.42 million (fiscal Q4 2023).
- Year-over-year, Net Income increased in three of the last eight quarters, with an average decline of 5.7%.
- The fastest year-over-year change in Net Income over five years came in fiscal Q3 2022 (growth of 145.8%), and the weakest in fiscal Q3 2026 (a decline of 46.1%).
- Business Quant data shows LYTS's Net Income at $2.09 million (Q3 2026), $6.35 million (Q2 2026) and $7.26 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 3.59 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 1.78 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.38 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 823.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.09 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 497.80 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 718.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 938.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 815.00 Mn |
| 10 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn | 6.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.88 Mn |
| Mar 31, 2026 | 2.09 Mn |
| Dec 31, 2025 | 6.35 Mn |
| Sep 30, 2025 | 7.26 Mn |
| Jun 30, 2025 | 8.17 Mn |
| Mar 31, 2025 | 3.88 Mn |
| Dec 31, 2024 | 5.65 Mn |
| Sep 30, 2024 | 6.68 Mn |
| Jun 30, 2024 | 5.67 Mn |
| Mar 31, 2024 | 5.38 Mn |
| Dec 31, 2023 | 5.91 Mn |
| Sep 30, 2023 | 8.03 Mn |
| Jun 30, 2023 | 8.42 Mn |
| Mar 31, 2023 | 4.67 Mn |
| Dec 31, 2022 | 6.42 Mn |
| Sep 30, 2022 | 6.26 Mn |
| Jun 30, 2022 | 5.18 Mn |
| Mar 31, 2022 | 3.62 Mn |
| Dec 31, 2021 | 3.11 Mn |
| Sep 30, 2021 | 3.13 Mn |
API Access
Lsi Industries Net Income 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=net-income&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();