Viking Global Technologies (VGTK) Selling, General & Administrative (2009 - 2026)
Analysis
Viking Global Technologies (VGTK) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 1.35 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 75.10 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 65.33 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 92.20 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 117.22 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 88.13 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 142.60 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | - |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 104.00 Mn |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | 492,006.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 492,006.00 |
| Jun 30, 2026 | 692,611.00 |
| Mar 31, 2026 | 622,852.00 |
| Dec 31, 2025 | 476,231.00 |
| Sep 30, 2025 | 583,411.00 |
| Jun 30, 2025 | 1.22 Mn |
| Mar 31, 2025 | 3.22 Mn |
| Dec 31, 2024 | 3.92 Mn |
| Sep 30, 2024 | 3.76 Mn |
| Jun 30, 2024 | 4.41 Mn |
| Mar 31, 2024 | 3.82 Mn |
| Dec 31, 2023 | 4.81 Mn |
| Sep 30, 2023 | 3.56 Mn |
| Jun 30, 2023 | 3.46 Mn |
| Mar 31, 2023 | 3.05 Mn |
| Dec 31, 2022 | 3.62 Mn |
| Sep 30, 2022 | 2.73 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 977,990.00 |
| Sep 30, 2021 | 774,040.00 |
API Access
Viking Global Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=VGTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();