Lsi Industries (LYTS) Total Current Liabilities (2011 - 2026)
Lsi Industries (LYTS) reported Total Current Liabilities of $149.92 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 54.0% from $97.35 million a year earlier but down 20.4% from the prior quarter.
Lsi Industries (LYTS) Total Current Liabilities (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Lsi Industries' Total Current Liabilities record includes 61 quarters.
- Total Current Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 16.2% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $97.35 million in FY2025 (+22.9%), $79.21 million in FY2024 (+3.5%), $76.56 million in FY2023 (-0.7%) and $77.08 million in FY2022 (+8.7%).
- Five-year quarterly Total Current Liabilities spans a low of $64.13 million in fiscal Q2 2023 and a high of $188.28 million in fiscal Q3 2026.
- Year over year, Total Current Liabilities has now increased in each of the last 11 quarters, with growth averaging 34.3% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q3 2026 (growth of 111.1%); the low point was fiscal Q3 2023 (a decline of 12.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $188.28 million (Q3 2026), $87.18 million (Q2 2026) and $94.98 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Lsi Industries | 774.95 Mn | 736.82 Mn | 57.42 Mn | 149.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.92 Mn |
| Mar 31, 2026 | 188.28 Mn |
| Dec 31, 2025 | 87.18 Mn |
| Sep 30, 2025 | 94.98 Mn |
| Jun 30, 2025 | 97.35 Mn |
| Mar 31, 2025 | 89.19 Mn |
| Dec 31, 2024 | 78.55 Mn |
| Sep 30, 2024 | 80.07 Mn |
| Jun 30, 2024 | 79.21 Mn |
| Mar 31, 2024 | 66.26 Mn |
| Dec 31, 2023 | 65.55 Mn |
| Sep 30, 2023 | 77.97 Mn |
| Jun 30, 2023 | 76.56 Mn |
| Mar 31, 2023 | 66.04 Mn |
| Dec 31, 2022 | 64.13 Mn |
| Sep 30, 2022 | 79.94 Mn |
| Jun 30, 2022 | 77.08 Mn |
| Mar 31, 2022 | 75.17 Mn |
| Dec 31, 2021 | 67.79 Mn |
| Sep 30, 2021 | 73.80 Mn |
Lsi Industries Total Current 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-current-liabilities&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();