Lase (LASE) Shares Outstanding (Diluted) (2021 - 2026)
Laser Photonics' Weighted Average Shares Outstanding (Diluted) was 39.34 million in Q2 2026, up 175.6% from 14.28 million a year earlier and up 43.9% from the prior quarter.
Lase (LASE) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Laser Photonics came in at 17.11 million, up 47.1% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for four consecutive years, with a four-year compound annual growth rate of 36.9% (FY2021 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 11.63 million in FY2024 (+30.2%), 8.93 million in FY2023 (+58.4%), 5.64 million in FY2022 (+15.6%) and 4.88 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q3 2021.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 16 straight quarters, with growth averaging 66.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding (Diluted) ran from 0.3% in Q3 2022 to 175.6% in Q2 2026.
- Per Business Quant data, LASE's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 27.35 million (Q1 2026), 17.11 million (Q4 2025) and 17.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 460.90 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.58 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 389.60 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 127.80 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 562.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 285.30 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 392.68 Mn |
| 10 | Lase | 22.82 Mn | 14.76 Mn | 152,473.00 | 39.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.34 Mn |
| Mar 31, 2026 | 27.35 Mn |
| Dec 31, 2025 | 17.11 Mn |
| Sep 30, 2025 | 17.13 Mn |
| Jun 30, 2025 | 14.28 Mn |
| Mar 31, 2025 | 14.27 Mn |
| Dec 31, 2024 | 11.63 Mn |
| Sep 30, 2024 | 12.67 Mn |
| Jun 30, 2024 | 10.59 Mn |
| Mar 31, 2024 | 9.23 Mn |
| Dec 31, 2023 | 8.93 Mn |
| Sep 30, 2023 | 7.88 Mn |
| Jun 30, 2023 | 7.88 Mn |
| Mar 31, 2023 | 5.64 Mn |
| Dec 31, 2022 | 5.64 Mn |
| Sep 30, 2022 | 4.90 Mn |
| Jun 30, 2022 | 4.88 Mn |
| Mar 31, 2022 | 4.88 Mn |
| Dec 31, 2021 | 4.88 Mn |
| Sep 30, 2021 | 4.88 Mn |
Lase Shares Outstanding (Diluted) 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-diluted&ticker=LASE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LASE", "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-diluted&ticker=LASE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();