Viking Global Technologies (VGTK) Assets (2009 - 2026)
Viking Global Technologies (VGTK) posted Assets of $19.76 million for Q3 2026, up 0.2% from $19.73 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Viking Global Technologies (VGTK) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Viking Global Technologies' Assets came in at $19.84 million, down 53.1% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In prior years, Viking Global Technologies' Assets was $42.32 million in FY2024 (-49.4%), $83.6 million in FY2023 (+67.5%), $49.91 million in FY2022 (+7.6%) and $46.4 million in FY2021 (+176.0%).
- Quarterly Assets has run from a low of $19.73 million in Q3 2025 to a high of $83.66 million in Q3 2023 over five years.
- On a year-over-year basis, Assets increased in 1 of the last eight quarters, with an average decline of 40.2%.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2021, with growth of 176.0%; the weakest was Q2 2025, with a decline of 70.6%.
- According to Business Quant data, Assets for the three prior quarters was $19.98 million (Q2 2026), $30.09 million (Q1 2026) and $19.84 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 86.22 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 6.57 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 14.02 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 4.64 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 4.75 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 6.14 Bn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 6.15 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 3.70 Bn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 3.50 Bn |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | 19.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.76 Mn |
| Jun 30, 2026 | 19.98 Mn |
| Mar 31, 2026 | 30.09 Mn |
| Dec 31, 2025 | 19.84 Mn |
| Sep 30, 2025 | 19.73 Mn |
| Jun 30, 2025 | 23.50 Mn |
| Mar 31, 2025 | 40.19 Mn |
| Dec 31, 2024 | 42.32 Mn |
| Sep 30, 2024 | 48.41 Mn |
| Jun 30, 2024 | 80.06 Mn |
| Mar 31, 2024 | 79.69 Mn |
| Dec 31, 2023 | 83.60 Mn |
| Sep 30, 2023 | 83.66 Mn |
| Jun 30, 2023 | 30.64 Mn |
| Mar 31, 2023 | 32.84 Mn |
| Dec 31, 2022 | 49.91 Mn |
| Sep 30, 2022 | 37.52 Mn |
| Jun 30, 2022 | 44.82 Mn |
| Mar 31, 2022 | 48.32 Mn |
| Dec 31, 2021 | 46.40 Mn |
API Access
Viking Global Technologies Assets 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=assets&ticker=VGTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();