Lsi Industries (LYTS) Shares Outstanding (2010 - 2026)
Lsi Industries' Shares Outstanding came in at 32.87 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.9% from 29.9 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Shares Outstanding (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, Lsi Industries' Shares Outstanding data covers 64 quarters.
- Shares Outstanding has increased in each of the last 14 fiscal years, with a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding was 29.9 million in FY2025 (+2.9%), 29.05 million in FY2024 (+3.3%), 28.13 million in FY2023 (+3.1%) and 27.29 million in FY2022 (+2.2%).
- The five-year range for quarterly Shares Outstanding is 27 million (fiscal Q1 2022) to 33.02 million (fiscal Q3 2026).
- Year-over-year, Shares Outstanding has increased for 53 consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 1.8% in fiscal Q1 2022 to 10.0% in fiscal Q3 2026.
- Business Quant data shows LYTS's Shares Outstanding at 33.02 million (Q3 2026), 31.16 million (Q2 2026) and 30.45 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 460.40 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.46 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 388.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 126.30 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 384.56 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 558.80 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 519.70 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 286.40 Mn |
| 10 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn | 32.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.87 Mn |
| Mar 31, 2026 | 33.02 Mn |
| Dec 31, 2025 | 31.16 Mn |
| Sep 30, 2025 | 30.45 Mn |
| Jun 30, 2025 | 29.90 Mn |
| Mar 31, 2025 | 30.00 Mn |
| Dec 31, 2024 | 29.93 Mn |
| Sep 30, 2024 | 29.59 Mn |
| Jun 30, 2024 | 29.05 Mn |
| Mar 31, 2024 | 29.16 Mn |
| Dec 31, 2023 | 29.02 Mn |
| Sep 30, 2023 | 28.76 Mn |
| Jun 30, 2023 | 28.13 Mn |
| Mar 31, 2023 | 28.31 Mn |
| Dec 31, 2022 | 28.08 Mn |
| Sep 30, 2022 | 27.64 Mn |
| Jun 30, 2022 | 27.29 Mn |
| Mar 31, 2022 | 27.38 Mn |
| Dec 31, 2021 | 27.29 Mn |
| Sep 30, 2021 | 27.00 Mn |
API Access
Lsi Industries Shares Outstanding 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=shares-outstanding&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();