Lsi Industries (LYTS) Selling, General & Administrative (2010 - 2026)
Lsi Industries' Selling, General & Administrative 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 (LYTS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' Selling, General & Administrative was $134.96 million, up 27.3% from FY2025.
- Selling, General & Administrative carries a five-year compound annual growth rate of 13.7% (FY2021 to FY2026).
- Going back by fiscal year, Selling, General & Administrative was $106.01 million in FY2025 (+8.6%), $97.65 million in FY2024 (-2.2%), $99.88 million in FY2023 (+13.5%) and $88 million in FY2022 (+24.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2011.
- Year-over-year, Selling, General & Administrative has increased for seven consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative 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 Selling, General & Administrative 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
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | - |
| 10 | Lsi Industries | 785.67 Mn | 747.54 Mn | 57.42 Mn | 42.93 Mn |
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 | 23.55 Mn |
| Dec 31, 2023 | 23.72 Mn |
| Sep 30, 2023 | 25.56 Mn |
| Jun 30, 2023 | 25.59 Mn |
| Mar 31, 2023 | 24.47 Mn |
| Dec 31, 2022 | 25.09 Mn |
| Sep 30, 2022 | 24.72 Mn |
| Jun 30, 2022 | 25.27 Mn |
| Mar 31, 2022 | 21.63 Mn |
| Dec 31, 2021 | 21.03 Mn |
| Sep 30, 2021 | 20.07 Mn |
Lsi Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();