Lsi Industries (LYTS) EBITDA (2010 - 2026)
Lsi Industries' EBITDA came in at $21.24 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 37.0% from $15.5 million a year earlier and up 184.3% from the prior quarter.
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Analysis
Lsi Industries (LYTS) EBITDA (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' EBITDA was $54.97 million, up 13.7% from FY2025.
- EBITDA carries a five-year compound annual growth rate of 27.8% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $48.34 million in FY2025 (+6.2%), $45.52 million in FY2024 (-2.5%), $46.69 million in FY2023 (+49.1%) and $31.32 million in FY2022 (+94.0%).
- The fiscal Q4 2026 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- Year-over-year, EBITDA increased in five of the last eight quarters, with growth averaging 8.2%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2022 (growth of 200.3%), and the weakest in fiscal Q3 2026 (a decline of 19.7%).
- Business Quant data shows LYTS's EBITDA at $7.47 million (Q3 2026), $12.09 million (Q2 2026) and $14.17 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Lsi Industries | 774.95 Mn | 736.82 Mn | 57.42 Mn | 21.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.24 Mn |
| Mar 31, 2026 | 7.47 Mn |
| Dec 31, 2025 | 12.09 Mn |
| Sep 30, 2025 | 14.17 Mn |
| Jun 30, 2025 | 15.50 Mn |
| Mar 31, 2025 | 9.30 Mn |
| Dec 31, 2024 | 11.48 Mn |
| Sep 30, 2024 | 12.07 Mn |
| Jun 30, 2024 | 11.87 Mn |
| Mar 31, 2024 | 10.07 Mn |
| Dec 31, 2023 | 10.18 Mn |
| Sep 30, 2023 | 13.40 Mn |
| Jun 30, 2023 | 12.61 Mn |
| Mar 31, 2023 | 10.19 Mn |
| Dec 31, 2022 | 11.46 Mn |
| Sep 30, 2022 | 12.44 Mn |
| Jun 30, 2022 | 9.66 Mn |
| Mar 31, 2022 | 7.69 Mn |
| Dec 31, 2021 | 6.96 Mn |
| Sep 30, 2021 | 7.01 Mn |
API Access
Lsi Industries EBITDA 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=ebitda&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();