Lsi Industries (LYTS) Accumulated Expenses (2011 - 2026)
Lsi Industries (LYTS) reported Accumulated Expenses of $67.92 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 50.1% from $45.25 million a year earlier and up 10.5% from the prior quarter.
Powered by 
Analysis
Lsi Industries (LYTS) Accumulated Expenses (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Lsi Industries' Accumulated Expenses record includes 61 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $45.25 million in FY2025 (+4.2%), $43.44 million in FY2024 (-0.8%), $43.79 million in FY2023 (+13.1%) and $38.73 million in FY2022 (+2.1%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2011.
- Year over year, Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 17.0% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2026 (growth of 50.1%); the low point was fiscal Q3 2024 (a decline of 3.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $61.47 million (Q3 2026), $43.84 million (Q2 2026) and $44.1 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.92 Mn |
| Mar 31, 2026 | 61.47 Mn |
| Dec 31, 2025 | 43.84 Mn |
| Sep 30, 2025 | 44.10 Mn |
| Jun 30, 2025 | 45.25 Mn |
| Mar 31, 2025 | 41.87 Mn |
| Dec 31, 2024 | 42.66 Mn |
| Sep 30, 2024 | 42.65 Mn |
| Jun 30, 2024 | 43.44 Mn |
| Mar 31, 2024 | 36.58 Mn |
| Dec 31, 2023 | 38.85 Mn |
| Sep 30, 2023 | 40.85 Mn |
| Jun 30, 2023 | 43.79 Mn |
| Mar 31, 2023 | 37.72 Mn |
| Dec 31, 2022 | 33.27 Mn |
| Sep 30, 2022 | 35.23 Mn |
| Jun 30, 2022 | 38.73 Mn |
| Mar 31, 2022 | 32.90 Mn |
| Dec 31, 2021 | 27.48 Mn |
| Sep 30, 2021 | 28.95 Mn |
API Access
Lsi Industries Accumulated 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=accumulated-expenses&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();