Viking Global Technologies (VGTK) Total Non-Current Liabilities (2010 - 2026)
Viking Global Technologies (VGTK) reported Total Non-Current Liabilities of $73.85 million for Q3 2026, up 20.5% from $61.29 million a year earlier and up 11.6% from the prior quarter.
Viking Global Technologies (VGTK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Viking Global Technologies posted Total Non-Current Liabilities of $68.97 million, down 12.9% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $79.23 million in FY2024 (+9.3%), $72.51 million in FY2023 (+122.3%), $32.62 million in FY2022 (+24.2%) and $26.26 million in FY2021 (-77.9%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $15.73 million in Q2 2023 and a high of $79.93 million in Q1 2025.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 18.8%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2023 (growth of 301.4%); the low point was Q3 2022 (a decline of 91.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $66.15 million (Q2 2026), $74.53 million (Q1 2026) and $68.97 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 66.73 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 4.60 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 2.80 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.85 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 3.14 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | - |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 5.61 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 1.60 Bn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 1.59 Bn |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | 73.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 73.85 Mn |
| Jun 30, 2026 | 66.15 Mn |
| Mar 31, 2026 | 74.53 Mn |
| Dec 31, 2025 | 68.97 Mn |
| Sep 30, 2025 | 61.29 Mn |
| Jun 30, 2025 | 59.71 Mn |
| Mar 31, 2025 | 79.93 Mn |
| Dec 31, 2024 | 79.23 Mn |
| Sep 30, 2024 | 49.53 Mn |
| Jun 30, 2024 | 44.69 Mn |
| Mar 31, 2024 | 46.50 Mn |
| Dec 31, 2023 | 72.51 Mn |
| Sep 30, 2023 | 70.52 Mn |
| Jun 30, 2023 | 15.73 Mn |
| Mar 31, 2023 | 17.09 Mn |
| Dec 31, 2022 | 32.62 Mn |
| Sep 30, 2022 | 17.57 Mn |
| Jun 30, 2022 | 73.21 Mn |
| Mar 31, 2022 | 35.46 Mn |
| Dec 31, 2021 | 26.26 Mn |
Viking Global Technologies Total Non-Current 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-non-current-liabilities&ticker=VGTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();