Lsi Industries (LYTS) Long-Term Debt Repayments (2010 - 2026)
Lsi Industries (LYTS) posted Long-Term Debt Repayments of $52.95 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.4% from $54.25 million a year earlier and down 95.3% from the prior quarter.
Lsi Industries (LYTS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' Long-Term Debt Repayments came in at $1.28 billion, up 538.6% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 133.0% (FY2021 to FY2026).
- In prior fiscal years, Lsi Industries' Long-Term Debt Repayments was $199.79 million in FY2025 (+42.8%), $139.88 million in FY2024 (-29.5%), $198.31 million in FY2023 (+22.7%) and $161.63 million in FY2022 (+769.9%).
- Quarterly Long-Term Debt Repayments has run from a low of $5.77 million in fiscal Q3 2024 to a high of $1.11 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in five of the last seven quarters, with growth averaging 117.2%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q3 2025, with growth of 754.5%; the weakest was fiscal Q3 2024, with a decline of 88.1%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $1.11 billion (Q3 2026), $55.05 million (Q2 2026) and $52.88 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | - |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | - |
| 10 | Lsi Industries | 638.03 Mn | 599.89 Mn | 57.42 Mn | 52.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.95 Mn |
| Mar 31, 2026 | 1.11 Bn |
| Dec 31, 2025 | 55.05 Mn |
| Sep 30, 2025 | 52.88 Mn |
| Jun 30, 2025 | 54.34 Mn |
| Mar 31, 2025 | 49.36 Mn |
| Dec 31, 2024 | 49.25 Mn |
| Sep 30, 2024 | 47.18 Mn |
| Jun 30, 2024 | 37.60 Mn |
| Mar 31, 2024 | 5.85 Mn |
| Dec 31, 2023 | 47.32 Mn |
| Sep 30, 2023 | 49.44 Mn |
| Jun 30, 2023 | 47.85 Mn |
| Mar 31, 2023 | 48.46 Mn |
| Dec 31, 2022 | 55.09 Mn |
| Sep 30, 2022 | 47.19 Mn |
| Jun 30, 2022 | 48.50 Mn |
| Mar 31, 2022 | 35.53 Mn |
| Dec 31, 2021 | 35.27 Mn |
| Sep 30, 2021 | 42.60 Mn |
Lsi Industries Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();