Viking Global Technologies (VGTK) Operating Expenses (2009 - 2026)
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Analysis
Viking Global Technologies (VGTK) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 1.71 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 191.66 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 166.95 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 137.77 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 846.88 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 355.46 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 174.80 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 148.18 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 114.30 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 | 4.20 Mn |
| Sep 30, 2025 | 661,218.00 |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 8.01 Mn |
| Dec 31, 2024 | 10.24 Mn |
| Sep 30, 2024 | 8.91 Mn |
| Jun 30, 2024 | 11.69 Mn |
| Mar 31, 2024 | 8.95 Mn |
| Dec 31, 2023 | 11.43 Mn |
| Sep 30, 2023 | 10.67 Mn |
| Jun 30, 2023 | 8.72 Mn |
| Mar 31, 2023 | 8.22 Mn |
| Dec 31, 2022 | 8.15 Mn |
| Sep 30, 2022 | 9.15 Mn |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 1.15 Mn |
| Sep 30, 2021 | 1.02 Mn |
API Access
Viking Global Technologies Operating Expenses 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=operating-expenses&ticker=VGTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();