Viking Global Technologies (VGTK) Accumulated Expenses (2009 - 2026)
Viking Global Technologies (VGTK) reported Accumulated Expenses of $9.42 million for Q3 2026, up 12.3% from $8.38 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Viking Global Technologies (VGTK) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Viking Global Technologies posted Accumulated Expenses of $8.19 million, down 11.1% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 161.2% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $9.21 million in FY2024 (-16.2%), $10.99 million in FY2023 (+780.7%), $1.25 million in FY2022 (-40.7%) and $2.1 million in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Accumulated Expenses since Q3 2024.
- Year over year, Accumulated Expenses gained in three of the last eight quarters, with an average decline of 2.9%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2023 (growth of 780.7%); the low point was Q4 2022 (a decline of 40.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $9 million (Q2 2026), $8.59 million (Q1 2026) and $8.19 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 | 9.42 Mn |
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 8.59 Mn |
| Dec 31, 2025 | 8.19 Mn |
| Sep 30, 2025 | 8.38 Mn |
| Jun 30, 2025 | 7.91 Mn |
| Mar 31, 2025 | 9.06 Mn |
| Dec 31, 2024 | 9.21 Mn |
| Sep 30, 2024 | 10.62 Mn |
| Jun 30, 2024 | 9.58 Mn |
| Mar 31, 2024 | 7.44 Mn |
| Dec 31, 2023 | 10.99 Mn |
| Sep 30, 2023 | 6.79 Mn |
| Jun 30, 2023 | 4.51 Mn |
| Mar 31, 2023 | 4.24 Mn |
| Dec 31, 2022 | 1.25 Mn |
| Sep 30, 2022 | 3.26 Mn |
| Jun 30, 2022 | 2.60 Mn |
| Mar 31, 2022 | 2.37 Mn |
| Dec 31, 2021 | 2.10 Mn |
API Access
Viking Global Technologies Accumulated Expenses 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=accumulated-expenses&ticker=VGTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();