Lsi Industries (LYTS) Assets (2011 - 2026)
Lsi Industries (LYTS) posted Assets of $829.86 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 109.4% from $396.36 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Assets (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Lsi Industries has reported Assets for 61 quarters.
- Annual Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 23.7% (FY2021 to FY2026).
- In prior fiscal years, Lsi Industries' Assets was $396.36 million in FY2025 (+13.6%), $348.8 million in FY2024 (+17.8%), $296.15 million in FY2023 (-4.8%) and $311.08 million in FY2022 (+8.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2011.
- On a year-over-year basis, Assets has increased in each of the last nine quarters, with growth averaging 41.4% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q4 2026, with growth of 109.4%; the weakest was fiscal Q3 2023, with a decline of 6.9%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $800.55 million (Q3 2026), $396.31 million (Q2 2026) and $404.87 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Lsi Industries | 774.95 Mn | 736.82 Mn | 57.42 Mn | 829.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 829.86 Mn |
| Mar 31, 2026 | 800.55 Mn |
| Dec 31, 2025 | 396.31 Mn |
| Sep 30, 2025 | 404.87 Mn |
| Jun 30, 2025 | 396.36 Mn |
| Mar 31, 2025 | 384.57 Mn |
| Dec 31, 2024 | 344.55 Mn |
| Sep 30, 2024 | 349.50 Mn |
| Jun 30, 2024 | 348.80 Mn |
| Mar 31, 2024 | 287.97 Mn |
| Dec 31, 2023 | 287.55 Mn |
| Sep 30, 2023 | 301.77 Mn |
| Jun 30, 2023 | 296.15 Mn |
| Mar 31, 2023 | 291.02 Mn |
| Dec 31, 2022 | 296.28 Mn |
| Sep 30, 2022 | 319.50 Mn |
| Jun 30, 2022 | 311.08 Mn |
| Mar 31, 2022 | 312.56 Mn |
| Dec 31, 2021 | 303.47 Mn |
| Sep 30, 2021 | 299.59 Mn |
API Access
Lsi Industries Assets 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=assets&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();