Greenway Technologies, Inc. & Subsidiaries (GWTI) Operating Expenses (2012 - 2026)
Greenway Technologies, Inc. & Subsidiaries (GWTI) recorded Operating Expenses of $678,384 in Q2 2026, down 35.5% from $1.05 million a year earlier but up 130.0% from the prior quarter.
Greenway Technologies, Inc. & Subsidiaries (GWTI) Operating Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Greenway Technologies, Inc. & Subsidiaries' Operating Expenses came in at $3.08 million as of Jun 30, 2026, up 48.3% year-over-year; for FY2025, it was $3.69 million, up 313.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $894,305 in FY2024 (-6.9%), $960,692 in FY2023 (+1.9%), $942,874 in FY2022 (-15.9%) and $1.12 million in FY2021 (-18.3%).
- Quarterly Operating Expenses has ranged from $149,517 in Q4 2021 to $1.35 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 151.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 465.5% in Q3 2025, against a decline of 68.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $294,899 (Q1 2026), $754,366 (Q4 2025) and $1.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | 723.00 Mn |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | 4.94 Bn |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | 2.28 Bn |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | 689.21 Mn |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 1.04 Bn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | 498.70 Mn |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 998.00 Mn |
| 10 | Greenway Technologies, Inc. & Subsidiaries | 9.02 Mn | 8.98 Mn | - | 678,384.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 678,384.00 |
| Mar 31, 2026 | 294,899.00 |
| Dec 31, 2025 | 754,366.00 |
| Sep 30, 2025 | 1.35 Mn |
| Jun 30, 2025 | 1.05 Mn |
| Mar 31, 2025 | 532,142.00 |
| Dec 31, 2024 | 254,768.00 |
| Sep 30, 2024 | 239,589.00 |
| Jun 30, 2024 | 197,610.00 |
| Mar 31, 2024 | 202,338.00 |
| Dec 31, 2023 | 240,615.00 |
| Sep 30, 2023 | 181,909.00 |
| Jun 30, 2023 | 207,577.00 |
| Mar 31, 2023 | 330,591.00 |
| Dec 31, 2022 | 210,316.00 |
| Sep 30, 2022 | 230,826.00 |
| Jun 30, 2022 | 247,733.00 |
| Mar 31, 2022 | 253,999.00 |
| Dec 31, 2021 | 149,517.00 |
| Sep 30, 2021 | 325,285.00 |
Greenway Technologies, Inc. & Subsidiaries 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=operating-expenses&ticker=GWTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=GWTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();