Lsi Industries (LYTS) Capital Expenditures (2010 - 2026)
Lsi Industries (LYTS) posted Capital Expenditures of $1.78 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 87.8% from $950,000 a year earlier and up 152.3% from the prior quarter.
Lsi Industries (LYTS) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' Capital Expenditures came in at $5.14 million, up 48.4% from FY2025.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 18.2% (FY2021 to FY2026).
- In prior fiscal years, Lsi Industries' Capital Expenditures was $3.47 million in FY2025 (-35.7%), $5.39 million in FY2024 (+68.0%), $3.21 million in FY2023 (+51.2%) and $2.12 million in FY2022 (-5.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Capital Expenditures since fiscal Q2 2024.
- On a year-over-year basis, Capital Expenditures has increased in each of the last five quarters, with growth averaging 7.9% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q2 2024, with growth of 248.7%; the weakest was fiscal Q4 2024, with a decline of 47.6%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $707,000 (Q3 2026), $1.68 million (Q2 2026) and $967,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Lsi Industries | 770.14 Mn | 732.01 Mn | 57.42 Mn | 1.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.78 Mn |
| Mar 31, 2026 | 707,000.00 |
| Dec 31, 2025 | 1.68 Mn |
| Sep 30, 2025 | 967,000.00 |
| Jun 30, 2025 | 950,000.00 |
| Mar 31, 2025 | 690,000.00 |
| Dec 31, 2024 | 1.07 Mn |
| Sep 30, 2024 | 759,000.00 |
| Jun 30, 2024 | 762,000.00 |
| Mar 31, 2024 | 1.28 Mn |
| Dec 31, 2023 | 1.96 Mn |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2023 | 1.45 Mn |
| Mar 31, 2023 | 759,000.00 |
| Dec 31, 2022 | 561,000.00 |
| Sep 30, 2022 | 434,000.00 |
| Jun 30, 2022 | 846,000.00 |
| Mar 31, 2022 | 531,000.00 |
| Dec 31, 2021 | 448,000.00 |
| Sep 30, 2021 | 297,000.00 |
Lsi Industries Capital Expenditures 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=capital-expenditures&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();