Greenpower Motor (GP) Operating Expenses (2019 - 2026)
Greenpower Motor's Operating Expenses came in at -$2.23 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $4.59 million a year earlier.
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Analysis
Greenpower Motor (GP) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Greenpower Motor reported Operating Expenses of $6.27 million, down 67.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $10.74 million, down 46.6% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 2.3% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $20.12 million in FY2025, $14.95 million in FY2024, $20.54 million in FY2023 (+13.7%) and $18.06 million in FY2022 (+88.6%).
- The fiscal Q1 2027 figure represents the lowest quarterly Operating Expenses in data going back to fiscal Q4 2019.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 113.1%), and the weakest in fiscal Q4 2026 (a decline of 67.2%).
- Business Quant data shows GP's Operating Expenses at $1.76 million (Q4 2026), $2.93 million (Q3 2026) and $3.81 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 471.42 Mn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 46.42 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 47.66 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | -34.70 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 78.18 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | 273.20 Mn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | 1.02 Bn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Greenpower Motor | 1.06 Mn | -470,249.57 | 350,084.00 | 2.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Mn |
| Mar 31, 2026 | 1.70 Mn |
| Dec 31, 2025 | 2.88 Mn |
| Sep 30, 2025 | 3.77 Mn |
| Jun 30, 2025 | 4.52 Mn |
| Mar 31, 2025 | 10.52 Mn |
| Dec 31, 2024 | 5.23 Mn |
| Sep 30, 2024 | 4.58 Mn |
| Jun 30, 2024 | 5.13 Mn |
| Mar 31, 2024 | 11.43 Mn |
| Dec 31, 2023 | 5.68 Mn |
| Sep 30, 2023 | 5.22 Mn |
| Jun 30, 2023 | 5.32 Mn |
| Mar 31, 2023 | 5.49 Mn |
| Dec 31, 2022 | 5.21 Mn |
| Sep 30, 2022 | 5.52 Mn |
| Jun 30, 2022 | 5.56 Mn |
| Mar 31, 2022 | 7.64 Mn |
| Dec 31, 2021 | 4.69 Mn |
| Sep 30, 2021 | 4.38 Mn |
API Access
Greenpower Motor 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=GP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GP", "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=GP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();