Viking Global Technologies (VGTK) Enterprise Value (2009 - 2026)
Viking Global Technologies (VGTK) posted Enterprise Value of $6.14 million for Q3 2026, down 0.3% from $6.16 million a year earlier and down 46.8% from the prior quarter.
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Analysis
Viking Global Technologies (VGTK) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Enterprise Value at Viking Global Technologies was $5.17 million, down 10.8% year-over-year; for FY2025, it came in at $6.13 million, down 35.8% from FY2024.
- Annual Enterprise Value has declined for four consecutive years, with a five-year compound annual growth rate of -62.3% (FY2020 to FY2025).
- In prior years, Viking Global Technologies' Enterprise Value was $9.54 million in FY2024 (-62.3%), $25.32 million in FY2023 (-4.2%), $26.43 million in FY2022 (-99.5%) and $5.27 billion in FY2021 (+553.2%).
- Quarterly Enterprise Value has run from a low of $6.07 million in Q1 2026 to a high of $5.27 billion in Q4 2021 over five years.
- On a year-over-year basis, Enterprise Value increased in 1 of the last eight quarters, with an average decline of 34.3%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2021, with growth of 553.2%; the weakest was Q4 2022, with a decline of 99.5%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $11.54 million (Q2 2026), $6.07 million (Q1 2026) and $6.13 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.14 Mn |
| Jun 30, 2026 | 11.54 Mn |
| Mar 31, 2026 | 6.07 Mn |
| Dec 31, 2025 | 6.13 Mn |
| Sep 30, 2025 | 6.16 Mn |
| Jun 30, 2025 | 6.77 Mn |
| Mar 31, 2025 | 12.34 Mn |
| Dec 31, 2024 | 9.54 Mn |
| Sep 30, 2024 | 11.73 Mn |
| Jun 30, 2024 | 32.49 Mn |
| Mar 31, 2024 | 39.43 Mn |
| Dec 31, 2023 | 25.32 Mn |
| Sep 30, 2023 | 27.38 Mn |
| Jun 30, 2023 | 15.87 Mn |
| Mar 31, 2023 | 29.68 Mn |
| Dec 31, 2022 | 26.43 Mn |
| Sep 30, 2022 | 443.62 Mn |
| Jun 30, 2022 | 155.88 Mn |
| Mar 31, 2022 | 259.28 Mn |
| Dec 31, 2021 | 5.27 Bn |
API Access
Viking Global Technologies Enterprise Value 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=enterprise-value&ticker=VGTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();