Viking Global Technologies (VGTK) Property, Plant & Equipment (Net) (2009 - 2025)
Viking Global Technologies (VGTK) recorded Property, Plant & Equipment (Net) of $1.39 million in Q1 2025, down 13.9% from $1.62 million a year earlier and down 3.1% from the prior quarter.
Viking Global Technologies (VGTK) Property, Plant & Equipment (Net) (2009 - 2025) Analysis & Trends
At the end of FY2024, Viking Global Technologies reported Property, Plant & Equipment (Net) of $1.44 million, down 12.4% from FY2023.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -50.9% (FY2019 to FY2024).
- Across earlier years, Property, Plant & Equipment (Net) came in at $1.64 million in FY2023 (-4.5%), $1.72 million in FY2022, $68,884 in FY2021 (-8.0%) and $74,877 in FY2020.
- The Q1 2025 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q2 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with an average decline of 16.0% over the last five quarters.
- The year-over-year decline in Property, Plant & Equipment (Net) has ranged between 4.5% (Q4 2023) and 41.7% (Q3 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $1.44 million (Q4 2024), $1.51 million (Q3 2024) and $1.56 million (Q2 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 7.82 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 539.73 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 5.63 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 108.64 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 1.27 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 874.16 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 671.00 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 561.18 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 156.70 Mn |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 1.39 Mn |
| Dec 31, 2024 | 1.44 Mn |
| Sep 30, 2024 | 1.51 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | 1.62 Mn |
| Dec 31, 2023 | 1.64 Mn |
| Sep 30, 2023 | 2.60 Mn |
| Jun 30, 2023 | 60,701.00 |
| Mar 31, 2023 | 61,907.00 |
| Dec 31, 2022 | 1.72 Mn |
| Sep 30, 2022 | 64,346.00 |
| Jun 30, 2022 | 65,717.00 |
| Mar 31, 2022 | 67,281.00 |
| Dec 31, 2021 | 68,884.00 |
| Sep 30, 2021 | 71,272.00 |
| Jun 30, 2021 | 72,512.00 |
| Mar 31, 2021 | 73,804.00 |
| Dec 31, 2020 | 74,877.00 |
| Sep 30, 2020 | 75,394.00 |
| Jun 30, 2020 | 78.46 Mn |
Viking Global Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VGTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();