Veeco Instruments (VECO) Shares Outstanding (Diluted) (2010 - 2026)
Veeco Instruments' Weighted Average Shares Outstanding (Diluted) came in at 66.15 million for Q3 2026, up 8.5% from 60.95 million a year earlier but down 0.9% from the prior quarter.
Veeco Instruments (VECO) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Veeco Instruments' Weighted Average Shares Outstanding (Diluted) was 60.59 million, down 1.6% from FY2024.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 61.6 million in FY2024 (+14.6%), 53.77 million in FY2023 (-18.0%), 65.61 million in FY2022 (+22.3%) and 53.64 million in FY2021 (+10.9%).
- The five-year range for quarterly Weighted Average Shares Outstanding (Diluted) is 52.86 million (Q2 2023) to 66.78 million (Q2 2026).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2022 (growth of 23.1%), and the weakest in Q4 2023 (a decline of 18.0%).
- Business Quant data shows VECO's Weighted Average Shares Outstanding (Diluted) at 66.78 million (Q2 2026), 60.41 million (Q1 2026) and 60.59 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 24.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 5.19 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 4.89 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 1.14 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 1.66 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 388.90 Mn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 5.31 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 800.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 921.00 Mn |
| 10 | Veeco Instruments | 2.27 Bn | 586.26 Mn | 80.39 Mn | 66.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.15 Mn |
| Jun 30, 2026 | 66.78 Mn |
| Mar 31, 2026 | 60.41 Mn |
| Dec 31, 2025 | 60.59 Mn |
| Sep 30, 2025 | 60.95 Mn |
| Jun 30, 2025 | 60.24 Mn |
| Mar 31, 2025 | 60.23 Mn |
| Dec 31, 2024 | 61.60 Mn |
| Sep 30, 2024 | 62.65 Mn |
| Jun 30, 2024 | 62.54 Mn |
| Mar 31, 2024 | 60.76 Mn |
| Dec 31, 2023 | 53.77 Mn |
| Sep 30, 2023 | 59.64 Mn |
| Jun 30, 2023 | 52.86 Mn |
| Mar 31, 2023 | 59.86 Mn |
| Dec 31, 2022 | 65.61 Mn |
| Sep 30, 2022 | 65.15 Mn |
| Jun 30, 2022 | 59.46 Mn |
| Mar 31, 2022 | 65.29 Mn |
| Dec 31, 2021 | 53.64 Mn |
Veeco Instruments 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=VECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "VECO", "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=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();