Greenland Technologies Holding (GTEC) Non-Current Assets (2018 - 2026)
Greenland Technologies Holding's Non-Current Assets came in at $21.73 million for Q2 2026, down 25.0% from $28.96 million a year earlier and down 7.8% from the prior quarter.
Greenland Technologies Holding (GTEC) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Greenland Technologies Holding's Non-Current Assets was $20.51 million, down 10.6% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $22.93 million in FY2024 (-25.3%), $30.69 million in FY2023 (+5.1%), $29.21 million in FY2022 (+25.6%) and $23.26 million in FY2021 (-4.4%).
- The five-year range for quarterly Non-Current Assets is $20.4 million (Q3 2023) to $35.81 million (Q1 2024).
- Year-over-year, Non-Current Assets has declined for four consecutive quarters, with an average decline of 6.8% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2024 (growth of 60.8%), and the weakest in Q3 2021 (a decline of 61.6%).
- Business Quant data shows GTEC's Non-Current Assets at $23.55 million (Q1 2026), $20.51 million (Q4 2025) and $24.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.78 Bn | 306.48 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 195.47 Bn | 190.05 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 170.74 Bn | 138.83 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.90 Bn | 146.08 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 119.09 Bn | 117.21 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Emerson Electric | 89.86 Bn | 82.59 Bn | 2.66 Bn | 32.55 Bn |
| 7 | 3M | 88.61 Bn | 70.01 Bn | 2.68 Bn | 20.81 Bn |
| 8 | Illinois Tool Works | 78.73 Bn | 75.29 Bn | 1.90 Bn | 9.89 Bn |
| 9 | Vertiv Holdings | 78.21 Bn | 68.83 Bn | 1.23 Bn | 5.92 Bn |
| 10 | Greenland Technologies Holding | 16.72 Mn | -112.09 Mn | 9.54 Mn | 21.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.73 Mn |
| Mar 31, 2026 | 23.55 Mn |
| Dec 31, 2025 | 20.51 Mn |
| Sep 30, 2025 | 24.43 Mn |
| Jun 30, 2025 | 28.96 Mn |
| Mar 31, 2025 | 25.18 Mn |
| Dec 31, 2024 | 22.93 Mn |
| Sep 30, 2024 | 27.32 Mn |
| Jun 30, 2024 | 24.32 Mn |
| Mar 31, 2024 | 35.81 Mn |
| Dec 31, 2023 | 30.69 Mn |
| Sep 30, 2023 | 20.40 Mn |
| Jun 30, 2023 | 20.88 Mn |
| Mar 31, 2023 | 22.26 Mn |
| Dec 31, 2022 | 29.21 Mn |
| Sep 30, 2022 | 22.33 Mn |
| Jun 30, 2022 | 21.07 Mn |
| Mar 31, 2022 | 23.38 Mn |
| Dec 31, 2021 | 23.26 Mn |
| Sep 30, 2021 | 23.62 Mn |
Greenland Technologies Holding 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=GTEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "GTEC", "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=GTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();