Vicor (VICR) Shares Outstanding (Diluted) (2010 - 2026)
Vicor's Shares Outstanding (Diluted) came in at 47.71 million for Q2 2026, up 5.8% from 45.08 million a year earlier and up 1.0% from the prior quarter.
Analysis
Vicor (VICR) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Vicor's Shares Outstanding (Diluted) was 45.45 million, up 0.6% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 45.17 million in FY2024 (+0.4%), 45 million in FY2023 (+0.2%), 44.89 million in FY2022 (-0.2%) and 44.97 million in FY2021 (+2.5%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Year-over-year, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2026 (growth of 5.8%), and the weakest in Q1 2024 (a decline of 0.9%).
- Business Quant data shows VICR's Shares Outstanding (Diluted) at 47.25 million (Q1 2026), 45.45 million (Q4 2025) and 44.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Vicor | 13.10 Bn | 11.47 Bn | 83.12 Mn | 47.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.71 Mn |
| Mar 31, 2026 | 47.25 Mn |
| Dec 31, 2025 | 45.45 Mn |
| Sep 30, 2025 | 44.93 Mn |
| Jun 30, 2025 | 45.08 Mn |
| Mar 31, 2025 | 45.50 Mn |
| Dec 31, 2024 | 45.17 Mn |
| Sep 30, 2024 | 45.17 Mn |
| Jun 30, 2024 | 44.86 Mn |
| Mar 31, 2024 | 44.52 Mn |
| Dec 31, 2023 | 45.00 Mn |
| Sep 30, 2023 | 45.19 Mn |
| Jun 30, 2023 | 44.91 Mn |
| Mar 31, 2023 | 44.91 Mn |
| Dec 31, 2022 | 44.89 Mn |
| Sep 30, 2022 | 44.90 Mn |
| Jun 30, 2022 | 44.87 Mn |
| Mar 31, 2022 | 44.95 Mn |
| Dec 31, 2021 | 44.97 Mn |
| Sep 30, 2021 | 45.03 Mn |
API Access
Vicor 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=VICR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "VICR", "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=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();