Greenway Technologies, Inc. & Subsidiaries (GWTI) Other Operating Expenses (2012 - 2020)
Greenway Technologies, Inc. & Subsidiaries' Other Operating Expenses came in at $648,783 for FY2025.
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Analysis
Greenway Technologies, Inc. & Subsidiaries (GWTI) Other Operating Expenses (2012 - 2020) Analysis & Trends
Going back to FY2012, Greenway Technologies, Inc. & Subsidiaries' Other Operating Expenses data covers 6 years.
- The FY2025 figure represents the highest annual Other Operating Expenses since FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn |
| 10 | Greenway Technologies, Inc. & Subsidiaries | 4.65 Mn | 4.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 30,000.00 |
| Mar 31, 2017 | -43,856.00 |
| Dec 31, 2016 | 269,760.00 |
| Sep 30, 2016 | -233,194.00 |
| Jun 30, 2016 | 3,418.00 |
| Mar 31, 2016 | -40,213.00 |
| Dec 31, 2015 | 590,432.00 |
| Sep 30, 2015 | -12,528.00 |
| Jun 30, 2015 | -174,595.00 |
| Mar 31, 2015 | -36,395.00 |
| Dec 31, 2014 | 1.22 Mn |
| Sep 30, 2014 | -7,653.00 |
| Jun 30, 2014 | -43,241.00 |
| Dec 31, 2013 | -86,146.00 |
| Sep 30, 2013 | -23,791.00 |
| Jun 30, 2013 | -24,121.00 |
| Mar 31, 2013 | -23,523.00 |
| Dec 31, 2012 | -33,462.00 |
| Sep 30, 2012 | 618,162.00 |
API Access
Greenway Technologies, Inc. & Subsidiaries Other Operating 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=other-operating-expenses&ticker=GWTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "GWTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=GWTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();