Viking Global Technologies (VGTK) Total Liabilities (2009 - 2026)
Viking Global Technologies' Total Liabilities came in at $74.49 million for Q3 2026, up 20.3% from $61.94 million a year earlier and up 11.5% from the prior quarter.
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Analysis
Viking Global Technologies (VGTK) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Viking Global Technologies' Total Liabilities was $69.61 million, down 13.1% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -10.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $80.14 million in FY2024 (+3.5%), $77.41 million in FY2023 (+124.1%), $34.55 million in FY2022 (+21.7%) and $28.38 million in FY2021 (-76.2%).
- The five-year range for quarterly Total Liabilities is $17.7 million (Q2 2023) to $116.51 million (Q1 2022).
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with an average decline of 3.5%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2024 (growth of 339.9%), and the weakest in Q3 2022 (a decline of 90.1%).
- Business Quant data shows VGTK's Total Liabilities at $66.8 million (Q2 2026), $75.18 million (Q1 2026) and $69.61 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 73.68 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 4.61 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 3.14 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.99 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 3.34 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 3.13 Bn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 5.80 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 1.79 Bn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 1.67 Bn |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | 74.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.49 Mn |
| Jun 30, 2026 | 66.80 Mn |
| Mar 31, 2026 | 75.18 Mn |
| Dec 31, 2025 | 69.61 Mn |
| Sep 30, 2025 | 61.94 Mn |
| Jun 30, 2025 | 60.36 Mn |
| Mar 31, 2025 | 81.11 Mn |
| Dec 31, 2024 | 80.14 Mn |
| Sep 30, 2024 | 81.02 Mn |
| Jun 30, 2024 | 77.87 Mn |
| Mar 31, 2024 | 77.91 Mn |
| Dec 31, 2023 | 77.41 Mn |
| Sep 30, 2023 | 72.58 Mn |
| Jun 30, 2023 | 17.70 Mn |
| Mar 31, 2023 | 19.05 Mn |
| Dec 31, 2022 | 34.55 Mn |
| Sep 30, 2022 | 19.55 Mn |
| Jun 30, 2022 | 73.26 Mn |
| Mar 31, 2022 | 116.51 Mn |
| Dec 31, 2021 | 28.38 Mn |
API Access
Viking Global Technologies Total Liabilities 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=total-liabilities&ticker=VGTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();