Viking Global Technologies (VGTK) Shares Outstanding (2009 - 2026)
Viking Global Technologies (VGTK) recorded Weighted Average Shares Outstanding of 670,000 in Q3 2026, compared with 830.00 a year earlier and down 99.8% from the prior quarter.
Viking Global Technologies (VGTK) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Viking Global Technologies reported Weighted Average Shares Outstanding of 830.00, down 100.0% from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of -86.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 196.86 million in FY2024 (+175.8%), 71.38 million in FY2023 (+639.7%), 9.65 million in FY2022 (-92.2%) and 124.08 million in FY2021 (+606.7%).
- Quarterly Weighted Average Shares Outstanding has ranged from 830.00 in Q3 2025 to 281.77 million in Q2 2026 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding rose in two of the last six quarters, with an average decline of 21.4%.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 685.5% in Q2 2024, against a decline of 100.0% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 281.77 million (Q2 2026), 830.00 (Q1 2026) and 830.00 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 266.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 294.76 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 107.47 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 151.50 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 91.73 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 58.85 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 750.00 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 36.26 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 242.39 Mn |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | 670,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 670,000.00 |
| Jun 30, 2026 | 281.77 Mn |
| Mar 31, 2026 | 830.00 |
| Dec 31, 2025 | 830.00 |
| Sep 30, 2025 | 830.00 |
| Jun 30, 2025 | 11.00 Mn |
| Mar 31, 2025 | 264.63 Mn |
| Dec 31, 2024 | 196.86 Mn |
| Sep 30, 2024 | 179.63 Mn |
| Jun 30, 2024 | 177.67 Mn |
| Mar 31, 2024 | 139.45 Mn |
| Dec 31, 2023 | 71.38 Mn |
| Sep 30, 2023 | 81.32 Mn |
| Jun 30, 2023 | 22.62 Mn |
| Mar 31, 2023 | 19.72 Mn |
| Dec 31, 2022 | 9.65 Mn |
| Sep 30, 2022 | 44.85 Mn |
| Jun 30, 2022 | 7.90 Mn |
| Mar 31, 2022 | 6.20 Mn |
| Dec 31, 2021 | 124.08 Mn |
Viking Global Technologies 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=VGTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VGTK", "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=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();