Lsi Industries (LYTS) Revenue (2010 - 2026)
Lsi Industries' Revenue was $234.62 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 51.3% from $155.07 million a year earlier and up 55.9% from the prior quarter.
Lsi Industries (LYTS) Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Revenue at Lsi Industries came in at $689.4 million, up 20.2% from FY2025.
- Revenue shows a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $573.38 million in FY2025 (+22.1%), $469.64 million in FY2024 (-5.5%), $496.98 million in FY2023 (+9.2%) and $455.12 million in FY2022 (+44.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Revenue in data going back to fiscal Q1 2011.
- Compared with a year earlier, Revenue was higher in seven of the last eight quarters, with growth averaging 21.0%.
- The best year-over-year quarter for Revenue over five years was fiscal Q3 2022 (growth of 52.5%); the worst was fiscal Q2 2024 (a decline of 15.4%).
- Per Business Quant data, LYTS's Revenue in the three fiscal quarters before Q4 2026 was $150.53 million (Q3 2026), $147 million (Q2 2026) and $157.25 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Lsi Industries | 770.14 Mn | 732.01 Mn | 57.42 Mn | 234.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 234.62 Mn |
| Mar 31, 2026 | 150.53 Mn |
| Dec 31, 2025 | 147.00 Mn |
| Sep 30, 2025 | 157.25 Mn |
| Jun 30, 2025 | 155.07 Mn |
| Mar 31, 2025 | 132.48 Mn |
| Dec 31, 2024 | 147.73 Mn |
| Sep 30, 2024 | 138.10 Mn |
| Jun 30, 2024 | 129.01 Mn |
| Mar 31, 2024 | 108.19 Mn |
| Dec 31, 2023 | 109.01 Mn |
| Sep 30, 2023 | 123.44 Mn |
| Jun 30, 2023 | 123.64 Mn |
| Mar 31, 2023 | 117.47 Mn |
| Dec 31, 2022 | 128.80 Mn |
| Sep 30, 2022 | 127.07 Mn |
| Jun 30, 2022 | 127.47 Mn |
| Mar 31, 2022 | 110.11 Mn |
| Dec 31, 2021 | 111.14 Mn |
| Sep 30, 2021 | 106.40 Mn |
Lsi Industries Revenue 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=revenue&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();