Lsi Industries (LYTS) Cost of Revenue (2010 - 2026)
Lsi Industries (LYTS) posted Cost of Revenue of $177.21 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 54.6% from $114.64 million a year earlier and up 57.8% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' Cost of Revenue came in at $516.03 million, up 19.6% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- In prior fiscal years, Lsi Industries' Cost of Revenue was $431.6 million in FY2025 (+28.3%), $336.47 million in FY2024 (-6.5%), $360 million in FY2023 (+4.1%) and $345.91 million in FY2022 (+46.2%).
- The fiscal Q4 2026 figure stands as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2011.
- On a year-over-year basis, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 24.0%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q1 2022, with growth of 58.3%; the weakest was fiscal Q2 2024, with a decline of 18.1%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $112.29 million (Q3 2026), $109.57 million (Q2 2026) and $116.97 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Lsi Industries | 785.67 Mn | 747.54 Mn | 57.42 Mn | 177.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 177.21 Mn |
| Mar 31, 2026 | 112.29 Mn |
| Dec 31, 2025 | 109.57 Mn |
| Sep 30, 2025 | 116.97 Mn |
| Jun 30, 2025 | 114.64 Mn |
| Mar 31, 2025 | 99.64 Mn |
| Dec 31, 2024 | 112.87 Mn |
| Sep 30, 2024 | 104.45 Mn |
| Jun 30, 2024 | 95.17 Mn |
| Mar 31, 2024 | 76.98 Mn |
| Dec 31, 2023 | 77.47 Mn |
| Sep 30, 2023 | 86.85 Mn |
| Jun 30, 2023 | 87.77 Mn |
| Mar 31, 2023 | 85.27 Mn |
| Dec 31, 2022 | 94.65 Mn |
| Sep 30, 2022 | 92.32 Mn |
| Jun 30, 2022 | 95.01 Mn |
| Mar 31, 2022 | 83.32 Mn |
| Dec 31, 2021 | 85.70 Mn |
| Sep 30, 2021 | 81.89 Mn |
API Access
Lsi Industries Cost of Revenue 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=cost-of-revenue&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();