Greenway Technologies, Inc. & Subsidiaries (GWTI) Other Operating Expenses (2012 - 2026)
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 - 2026) 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 | 73.67 Bn | 71.28 Bn | 1.57 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn |
| 10 | Greenway Technologies, Inc. & Subsidiaries | 9.30 Mn | 9.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -149,233.00 |
| Dec 31, 2025 | 1.11 Mn |
| Sep 30, 2025 | -156,009.00 |
| Mar 31, 2025 | -151,499.00 |
| Sep 30, 2024 | -156,174.00 |
| Mar 31, 2024 | -154,733.00 |
| Jun 30, 2022 | 70,377.00 |
| Mar 31, 2022 | -147,602.00 |
| Jun 30, 2021 | -147,897.00 |
| Mar 31, 2021 | -144,238.00 |
| Dec 31, 2020 | 30,000.00 |
| Jun 30, 2020 | -62,887.00 |
| Mar 31, 2020 | -274,794.00 |
| Sep 30, 2019 | -95,000.00 |
| Jun 30, 2019 | -787,400.00 |
| Mar 31, 2019 | -28,620.00 |
| Dec 31, 2018 | -518,961.00 |
| Sep 30, 2018 | 210,000.00 |
| Jun 30, 2018 | -27,982.00 |
| Mar 31, 2018 | 3,333.00 |
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();