Greenwave Technology Solutions (GWAV) Accumulated Expenses (2014 - 2026)
Greenwave Technology Solutions (GWAV) posted Accumulated Expenses of $3.59 million for Q2 2026, up 122.7% from $1.61 million a year earlier and up 84.8% from the prior quarter.
Greenwave Technology Solutions (GWAV) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Greenwave Technology Solutions' Accumulated Expenses came in at $2.21 million, up 107.2% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 603.5% (FY2020 to FY2025).
- In prior years, Greenwave Technology Solutions' Accumulated Expenses was $1.06 million in FY2024 (-50.3%), $2.14 million in FY2023 (+36.2%), $1.57 million in FY2022 (+989.3%) and $144,208 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2014.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 57.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 989.3%; the weakest was Q4 2024, with a decline of 50.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.94 million (Q1 2026), $2.21 million (Q4 2025) and $2.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - |
| 2 | Southern Copper | 153.49 Bn | 132.28 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.48 Bn | 95.98 Bn | - |
| 4 | Newmont | 113.96 Bn | 79.11 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.70 Bn | 77.74 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 87.17 Bn | 76.80 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.05 Bn | 40.24 Bn | 2.90 Bn |
| 8 | Nucor | 58.96 Bn | 48.35 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.39 Bn | 24.42 Bn | - |
| 10 | Greenwave Technology Solutions | 1.99 Mn | -2.52 Mn | 6.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.63 Mn |
| Mar 31, 2026 | 4.89 Mn |
| Dec 31, 2025 | 5.06 Mn |
| Sep 30, 2025 | 5.20 Mn |
| Jun 30, 2025 | 4.28 Mn |
| Mar 31, 2025 | 3.66 Mn |
| Dec 31, 2024 | 3.50 Mn |
| Sep 30, 2024 | 3.31 Mn |
| Jun 30, 2024 | 3.15 Mn |
| Mar 31, 2024 | 3.19 Mn |
| Dec 31, 2023 | 4.21 Mn |
| Sep 30, 2023 | 3.67 Mn |
| Jun 30, 2023 | 3.51 Mn |
| Mar 31, 2023 | 3.43 Mn |
| Dec 31, 2022 | 3.28 Mn |
| Sep 30, 2022 | 2.53 Mn |
| Jun 30, 2022 | 3.33 Mn |
| Dec 31, 2021 | 2.10 Mn |
| Dec 31, 2020 | 128.00 |
| Sep 30, 2020 | 128.00 |
Greenwave Technology Solutions 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=GWAV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GWAV", "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=GWAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();