Vivakor (VIVK) Accumulated Expenses (2009 - 2024)
Vivakor's Accumulated Expenses came in at $3 million for Q3 2022, down 1.7% from the prior quarter.
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Analysis
Vivakor (VIVK) Accumulated Expenses (2009 - 2024) Analysis & Trends
At the end of FY2021, Vivakor's Accumulated Expenses was $4.21 million, up 40.3% from FY2020.
- Going back by year, Accumulated Expenses was $3 million in FY2020.
- The Q3 2022 figure represents the lowest quarterly Accumulated Expenses since Q4 2020.
- Business Quant data shows VIVK's Accumulated Expenses at $3.05 million (Q2 2022), $4.65 million (Q1 2022) and $4.21 million (Q4 2021) in the three quarters before Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enbridge | 106.26 Bn | 104.14 Bn | 4.35 Bn |
| 2 | Williams Companies | 86.41 Bn | 89.20 Bn | 2.59 Bn |
| 3 | Enterprise Products Partners | 82.58 Bn | 80.98 Bn | 14.00 Mn |
| 4 | Kinder Morgan | 71.13 Bn | 71.22 Bn | 2.97 Bn |
| 5 | Tc Energy | 67.40 Bn | 71.05 Bn | - |
| 6 | Energy Transfer | 66.89 Bn | 62.98 Bn | 6.57 Bn |
| 7 | Targa Resources | 63.77 Bn | 62.98 Bn | 2.02 Bn |
| 8 | Cheniere Energy | 63.04 Bn | 62.60 Bn | 2.97 Bn |
| 9 | Mplx | 58.00 Bn | 52.25 Bn | 3.19 Bn |
| 10 | Vivakor | 4,483.92 | -4.95 Mn | 6.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 122,331.00 |
| Jun 30, 2024 | 209,962.00 |
| Mar 31, 2024 | 256,825.00 |
| Dec 31, 2023 | 178,999.00 |
| Sep 30, 2023 | 241,585.00 |
| Jun 30, 2023 | 133,835.00 |
| Mar 31, 2023 | 99,587.00 |
| Dec 31, 2022 | 349,497.00 |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 3.05 Mn |
| Mar 31, 2022 | 4.65 Mn |
| Dec 31, 2021 | 4.21 Mn |
| Dec 31, 2020 | 3.00 Mn |
| Sep 30, 2010 | 730,077.00 |
| Jun 30, 2010 | 1.00 Mn |
| Mar 31, 2010 | 918,318.00 |
| Dec 31, 2009 | 828,018.00 |
| Mar 31, 2009 | 428,676.00 |
API Access
Vivakor 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=VIVK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VIVK", "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=VIVK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();