Greenpower Motor (GP) Non-Current Assets (2019 - 2026)
Greenpower Motor's Non-Current Assets came in at $10.51 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 72.7% from $38.51 million a year earlier but up 95.6% from the prior quarter.
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Analysis
Greenpower Motor (GP) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Greenpower Motor's Non-Current Assets was $5.38 million, down 26.3% from FY2025.
- Non-Current Assets carries a five-year compound annual growth rate of -32.9% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $7.3 million in FY2025, $37.37 trillion in FY2024, $63.53 trillion in FY2023 and $49.61 million in FY2022 (+25.2%).
- The five-year range for quarterly Non-Current Assets is $5.38 million (fiscal Q4 2026) to $63.53 trillion (fiscal Q4 2023).
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q3 2023 (growth of 55.4%), and the weakest in fiscal Q4 2025 (a decline of 100.0%).
- Business Quant data shows GP's Non-Current Assets at $5.38 million (Q4 2026), $15 million (Q3 2026) and $40.34 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 87.12 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 5.69 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 173.32 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 171.21 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | -7.53 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 7.59 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | - |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 6.22 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 144.56 Bn |
| 10 | Greenpower Motor | 452,636.09 | -1.08 Mn | 350,084.00 | 10.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.51 Mn |
| Mar 31, 2026 | 5.38 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 40.34 Mn |
| Jun 30, 2025 | 38.51 Mn |
| Mar 31, 2025 | 7.30 Mn |
| Dec 31, 2024 | 37,367.03 Bn |
| Sep 30, 2024 | 39,374.46 Bn |
| Jun 30, 2024 | 43,464.52 Bn |
| Mar 31, 2024 | 45,203.28 Bn |
| Dec 31, 2023 | 50,164.33 Bn |
| Sep 30, 2023 | 55,382.61 Bn |
| Jun 30, 2023 | 45,210.51 Bn |
| Mar 31, 2023 | 63,525.18 Bn |
| Dec 31, 2022 | 65.67 Mn |
| Sep 30, 2022 | 61.70 Mn |
| Jun 30, 2022 | 56.51 Mn |
| Mar 31, 2022 | 49.61 Mn |
| Dec 31, 2021 | 42.24 Mn |
| Sep 30, 2021 | 40.86 Mn |
API Access
Greenpower Motor Non-Current Assets 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=non-current-assets&ticker=GP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();