Lsi Industries (LYTS) Operating Leases (2020 - 2026)
Lsi Industries' Operating Leases was $38.46 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 219.3% from $12.05 million a year earlier but down 6.2% from the prior quarter.
Lsi Industries (LYTS) Operating Leases (2020 - 2026) Analysis & Trends
From fiscal Q4 2020 onward, Lsi Industries has reported Operating Leases for 25 quarters.
- Operating Leases has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 28.7% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $12.05 million in FY2025 (+6.9%), $11.27 million in FY2024 (+89.2%), $5.95 million in FY2023 (+3.1%) and $5.78 million in FY2022 (-47.0%).
- Quarterly Operating Leases has moved between $5.78 million (fiscal Q4 2022) and $41 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Operating Leases has increased for ten straight quarters, with growth averaging 96.6% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q4 2026 (growth of 219.3%); the worst was fiscal Q4 2022 (a decline of 47.0%).
- Per Business Quant data, LYTS's Operating Leases in the three fiscal quarters before Q4 2026 was $41 million (Q3 2026), $23.25 million (Q2 2026) and $11.69 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Lsi Industries | 774.95 Mn | 736.82 Mn | 57.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.46 Mn |
| Mar 31, 2026 | 41.00 Mn |
| Dec 31, 2025 | 23.25 Mn |
| Sep 30, 2025 | 11.69 Mn |
| Jun 30, 2025 | 12.05 Mn |
| Mar 31, 2025 | 13.16 Mn |
| Dec 31, 2024 | 10.69 Mn |
| Sep 30, 2024 | 10.78 Mn |
| Jun 30, 2024 | 11.27 Mn |
| Mar 31, 2024 | 6.22 Mn |
| Dec 31, 2023 | 6.85 Mn |
| Sep 30, 2023 | 7.63 Mn |
| Jun 30, 2023 | 5.95 Mn |
| Mar 31, 2023 | 6.12 Mn |
| Dec 31, 2022 | 6.96 Mn |
| Sep 30, 2022 | 7.38 Mn |
| Jun 30, 2022 | 5.78 Mn |
| Mar 31, 2022 | 9.07 Mn |
| Dec 31, 2021 | 9.44 Mn |
| Sep 30, 2021 | 10.09 Mn |
Lsi Industries Operating Leases 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-leases&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();