Lsi Industries Inc (LYTS) Operating Expenses (2010 - 2026)
Lsi Industries' Operating Expenses came in at $42.93 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 50.7% from $28.49 million a year earlier and up 25.6% from the prior quarter.
Lsi Industries Inc (LYTS) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' Operating Expenses was $134.96 million, up 27.2% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 13.7% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $106.09 million in FY2025 (+8.6%), $97.68 million in FY2024 (-2.2%), $99.92 million in FY2023 (+13.5%) and $88.01 million in FY2022 (+24.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Year-over-year, Operating Expenses has increased for seven consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2026 (growth of 50.7%), and the weakest in fiscal Q2 2024 (a decline of 5.5%).
- Business Quant data shows LYTS's Operating Expenses at $34.16 million (Q3 2026), $28.57 million (Q2 2026) and $29.31 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.93 Mn |
| Mar 31, 2026 | 34.16 Mn |
| Dec 31, 2025 | 28.57 Mn |
| Sep 30, 2025 | 29.31 Mn |
| Jun 30, 2025 | 28.49 Mn |
| Mar 31, 2025 | 26.61 Mn |
| Dec 31, 2024 | 26.40 Mn |
| Sep 30, 2024 | 24.52 Mn |
| Jun 30, 2024 | 24.82 Mn |
| Mar 31, 2024 | 23.56 Mn |
| Dec 31, 2023 | 23.72 Mn |
| Sep 30, 2023 | 25.57 Mn |
| Jun 30, 2023 | 25.63 Mn |
| Mar 31, 2023 | 24.47 Mn |
| Dec 31, 2022 | 25.10 Mn |
| Sep 30, 2022 | 24.72 Mn |
| Jun 30, 2022 | 25.28 Mn |
| Mar 31, 2022 | 21.64 Mn |
| Dec 31, 2021 | 21.03 Mn |
| Sep 30, 2021 | 20.07 Mn |
Lsi Industries Inc Operating Expenses 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=operating-expenses&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();