Greenway Technologies, Inc. & Subsidiaries (GWTI) Change in Accured Expenses (2012 - 2026)
Greenway Technologies, Inc. & Subsidiaries' Change in Accured Expenses came in at $208,079 for Q1 2026, up 171.7% from $76,583 a year earlier but down 67.8% from the prior quarter.
Greenway Technologies, Inc. & Subsidiaries (GWTI) Change in Accured Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Greenway Technologies, Inc. & Subsidiaries reported Change in Accured Expenses of $1.68 million, up 537.5% year-over-year; for FY2025, it was $1.55 million, up 350.6% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 38.6% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $344,098 in FY2024 (-31.9%), $505,113 in FY2023 (+54.6%), $326,660 in FY2022 (+103.2%) and $160,783 in FY2021 (-46.9%).
- The five-year range for quarterly Change in Accured Expenses is -$99,897 (Q2 2022) to $646,806 (Q4 2025).
- Year-over-year, Change in Accured Expenses increased in four of the last six quarters, with growth averaging 121.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2025 (growth of 537.6%), and the weakest in Q3 2023 (a decline of 53.2%).
- Business Quant data shows GWTI's Change in Accured Expenses at $646,806 (Q4 2025), $641,566 (Q3 2025) and $185,627 (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | -23.00 Mn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | - |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 46.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 16.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | -42.81 Mn |
| 10 | Greenway Technologies, Inc. & Subsidiaries | 4.65 Mn | 4.60 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 208,079.00 |
| Dec 31, 2025 | 646,806.00 |
| Sep 30, 2025 | 641,566.00 |
| Jun 30, 2025 | 185,627.00 |
| Mar 31, 2025 | 76,583.00 |
| Dec 31, 2024 | 101,451.00 |
| Sep 30, 2024 | -21,140.00 |
| Jun 30, 2024 | 106,962.00 |
| Mar 31, 2024 | 156,825.00 |
| Dec 31, 2023 | 164,110.00 |
| Sep 30, 2023 | 105,035.00 |
| Jun 30, 2023 | 80,097.00 |
| Mar 31, 2023 | 155,871.00 |
| Dec 31, 2022 | 107,328.00 |
| Sep 30, 2022 | 224,407.00 |
| Jun 30, 2022 | -99,897.00 |
| Mar 31, 2022 | 94,822.00 |
| Dec 31, 2021 | 28,096.00 |
| Sep 30, 2021 | -30,692.00 |
| Jun 30, 2021 | 58,229.00 |
Greenway Technologies, Inc. & Subsidiaries Change in Accured 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=change-in-accured-expenses&ticker=GWTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GWTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();