Lsi Industries (LYTS) Interest Expenses (2010 - 2026)
Lsi Industries (LYTS) posted Interest Expenses of $4.13 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 377.9% from $865,000 a year earlier and up 772.2% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Interest Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' Interest Expenses came in at $5.93 million, up 89.5% from FY2025.
- Annual Interest Expenses shows a five-year compound annual growth rate of 83.2% (FY2021 to FY2026).
- In prior fiscal years, Lsi Industries' Interest Expenses was $3.13 million in FY2025 (+45.1%), $2.16 million in FY2024 (-41.5%), $3.69 million in FY2023 (+87.3%) and $1.97 million in FY2022 (+585.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Interest Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Interest Expenses increased in four of the last eight quarters, with growth averaging 101.1%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q3 2022, with growth of 870.4%; the weakest was fiscal Q3 2024, with a decline of 84.7%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $474,000 (Q3 2026), $573,000 (Q2 2026) and $747,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn | 4.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.13 Mn |
| Mar 31, 2026 | 474,000.00 |
| Dec 31, 2025 | 573,000.00 |
| Sep 30, 2025 | 747,000.00 |
| Jun 30, 2025 | 865,000.00 |
| Mar 31, 2025 | 661,000.00 |
| Dec 31, 2024 | 728,000.00 |
| Sep 30, 2024 | 875,000.00 |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 134,000.00 |
| Dec 31, 2023 | 453,000.00 |
| Sep 30, 2023 | 566,000.00 |
| Jun 30, 2023 | 763,000.00 |
| Mar 31, 2023 | 877,000.00 |
| Dec 31, 2022 | 1.26 Mn |
| Sep 30, 2022 | 788,000.00 |
| Jun 30, 2022 | 681,000.00 |
| Mar 31, 2022 | 524,000.00 |
| Dec 31, 2021 | 529,000.00 |
| Sep 30, 2021 | 234,000.00 |
API Access
Lsi Industries Interest Expenses 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=interest-expenses&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();