Lsi Industries (LYTS) Total Liabilities (2011 - 2026)
Lsi Industries (LYTS) posted Total Liabilities of $469.19 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 183.3% from $165.64 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Total Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Lsi Industries has reported Total Liabilities for 61 quarters.
- Annual Total Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 24.7% (FY2021 to FY2026).
- In prior fiscal years, Lsi Industries' Total Liabilities was $165.64 million in FY2025 (+14.7%), $144.45 million in FY2024 (+21.8%), $118.57 million in FY2023 (-27.4%) and $163.31 million in FY2022 (+4.9%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- On a year-over-year basis, Total Liabilities has increased in each of the last nine quarters, with growth averaging 68.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2022, with growth of 216.5%; the weakest was fiscal Q1 2024, with a decline of 30.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $447.74 million (Q3 2026), $148.21 million (Q2 2026) and $163.55 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.62 Bn | 312.31 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 196.91 Bn | 191.49 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 170.32 Bn | 138.41 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 153.17 Bn | 150.35 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 121.09 Bn | 119.22 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 91.75 Bn | 84.49 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 89.05 Bn | 70.50 Bn | 2.78 Bn | 35.36 Bn |
| 8 | Vertiv Holdings | 82.19 Bn | 72.82 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 79.44 Bn | 76.00 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Lsi Industries | 645.25 Mn | 607.12 Mn | 57.42 Mn | 469.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 469.19 Mn |
| Mar 31, 2026 | 447.74 Mn |
| Dec 31, 2025 | 148.21 Mn |
| Sep 30, 2025 | 163.55 Mn |
| Jun 30, 2025 | 165.64 Mn |
| Mar 31, 2025 | 162.85 Mn |
| Dec 31, 2024 | 127.43 Mn |
| Sep 30, 2024 | 138.32 Mn |
| Jun 30, 2024 | 144.45 Mn |
| Mar 31, 2024 | 89.53 Mn |
| Dec 31, 2023 | 94.61 Mn |
| Sep 30, 2023 | 115.22 Mn |
| Jun 30, 2023 | 118.57 Mn |
| Mar 31, 2023 | 123.28 Mn |
| Dec 31, 2022 | 134.97 Mn |
| Sep 30, 2022 | 165.77 Mn |
| Jun 30, 2022 | 163.31 Mn |
| Mar 31, 2022 | 170.01 Mn |
| Dec 31, 2021 | 164.58 Mn |
| Sep 30, 2021 | 164.22 Mn |
API Access
Lsi Industries Total Liabilities 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=total-liabilities&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();