Greenwave Technology Solutions (GWAV) Operating Expenses (2014 - 2026)
Greenwave Technology Solutions' Operating Expenses came in at $8.91 million for Q2 2026, up 31.7% from $6.76 million a year earlier and up 12.9% from the prior quarter.
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Analysis
Greenwave Technology Solutions (GWAV) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Greenwave Technology Solutions reported Operating Expenses of $34.36 million, down 22.0% year-over-year; for FY2025, it came in at $31.69 million, down 32.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 93.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $47.25 million in FY2024 (+39.0%), $34 million in FY2023 (+45.8%), $23.32 million in FY2022 (+303.0%) and $5.79 million in FY2021 (+396.4%).
- The five-year range for quarterly Operating Expenses is $395,312 (Q3 2021) to $21.95 million (Q4 2024).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 26.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 907.2%), and the weakest in Q4 2025 (a decline of 58.3%).
- Business Quant data shows GWAV's Operating Expenses at $7.89 million (Q1 2026), $9.15 million (Q4 2025) and $8.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -780.00 Mn |
| 10 | Greenwave Technology Solutions | 2.01 Mn | -2.50 Mn | 6.06 Mn | 8.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.91 Mn |
| Mar 31, 2026 | 7.89 Mn |
| Dec 31, 2025 | 9.15 Mn |
| Sep 30, 2025 | 8.42 Mn |
| Jun 30, 2025 | 6.76 Mn |
| Mar 31, 2025 | 7.37 Mn |
| Dec 31, 2024 | 21.95 Mn |
| Sep 30, 2024 | 7.98 Mn |
| Jun 30, 2024 | 11.25 Mn |
| Mar 31, 2024 | 6.08 Mn |
| Dec 31, 2023 | 5.53 Mn |
| Sep 30, 2023 | 16.42 Mn |
| Jun 30, 2023 | 5.39 Mn |
| Mar 31, 2023 | 6.66 Mn |
| Dec 31, 2022 | 8.05 Mn |
| Sep 30, 2022 | 5.78 Mn |
| Jun 30, 2022 | 5.03 Mn |
| Mar 31, 2022 | 4.46 Mn |
| Dec 31, 2021 | 4.59 Mn |
| Sep 30, 2021 | 395,312.00 |
API Access
Greenwave Technology Solutions 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=GWAV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GWAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();