Globaltek Ventures (ATVK) Accumulated Expenses (2022 - 2026)
Globaltek Ventures' Accumulated Expenses was $13,628 in Q2 2026, down 98.1% from the prior quarter.
Analysis
Globaltek Ventures (ATVK) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Globaltek Ventures came in at $1,633, down 99.7% from FY2024.
- Accumulated Expenses shows a three-year compound annual growth rate of -84.3% (FY2022 to FY2025).
- In earlier years, Accumulated Expenses was $600,032 in FY2024 (+9.7%), $547,204 in FY2023 (+28.9%) and $424,675 in FY2022.
- Quarterly Accumulated Expenses has moved between $1,633 (Q4 2025) and $722,724 (Q1 2026) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 206.05 Bn | 157.15 Bn | 3.11 Bn |
| 2 | Bloom Energy | 51.10 Bn | 41.00 Bn | 417.10 Mn |
| 3 | First Solar | 21.63 Bn | 12.99 Bn | 713.06 Mn |
| 4 | Nextpower | 15.87 Bn | 11.57 Bn | 345.32 Mn |
| 5 | BWX Technologies | 10.96 Bn | 8.77 Bn | 227.14 Mn |
| 6 | Generac Holdings | 10.36 Bn | 9.10 Bn | 516.04 Mn |
| 7 | EnerSys | 5.36 Bn | 3.55 Bn | 313.36 Mn |
| 8 | Mirion Technologies | 4.35 Bn | 2.71 Bn | 131.50 Mn |
| 9 | Enphase Energy | 3.78 Bn | -535.47 Mn | 127.12 Mn |
| 10 | Globaltek Ventures | 1.82 Bn | 1.82 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13,628.00 |
| Mar 31, 2026 | 722,724.00 |
| Dec 31, 2025 | 1,633.00 |
| Sep 30, 2025 | 675,481.00 |
| Jun 30, 2025 | 650,324.00 |
| Mar 31, 2025 | 625,176.00 |
| Dec 31, 2024 | 600,032.00 |
| Sep 30, 2024 | 575,172.00 |
| Jun 30, 2024 | 555,447.00 |
| Mar 31, 2024 | 529,988.00 |
| Dec 31, 2023 | 547,204.00 |
| Sep 30, 2023 | 205,270.00 |
| Jun 30, 2023 | 486,209.00 |
| Mar 31, 2023 | 456,560.00 |
| Dec 31, 2022 | 424,675.00 |
API Access
Globaltek Ventures 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=ATVK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ATVK", "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=ATVK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();