Greenland Technologies Holding (GTEC) Current Assets (2018 - 2026)
Greenland Technologies Holding (GTEC) posted Current Assets of $125.8 million for Q2 2026, up 33.0% from $94.61 million a year earlier and up 11.3% from the prior quarter.
Greenland Technologies Holding (GTEC) Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Greenland Technologies Holding's Current Assets came in at $95.27 million, up 2.8% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In prior years, Greenland Technologies Holding's Current Assets was $92.65 million in FY2024 (-7.2%), $99.79 million in FY2023 (-20.7%), $125.91 million in FY2022 (-9.6%) and $139.31 million in FY2021 (+29.4%).
- The Q2 2026 figure stands as the highest quarterly Current Assets since Q3 2023.
- On a year-over-year basis, Current Assets has increased in each of the last three quarters, with growth averaging 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q3 2021, with growth of 125.2%; the weakest was Q3 2024, with a decline of 27.9%.
- According to Business Quant data, Current Assets for the three prior quarters was $113 million (Q1 2026), $95.27 million (Q4 2025) and $98.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 54.45 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 17.82 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 14.77 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 7.70 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 9.66 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 14.11 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 9.98 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 6.60 Bn |
| 10 | Greenland Technologies Holding | 16.38 Mn | -112.43 Mn | 9.54 Mn | 125.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125.80 Mn |
| Mar 31, 2026 | 113.00 Mn |
| Dec 31, 2025 | 95.27 Mn |
| Sep 30, 2025 | 98.99 Mn |
| Jun 30, 2025 | 94.61 Mn |
| Mar 31, 2025 | 93.47 Mn |
| Dec 31, 2024 | 92.65 Mn |
| Sep 30, 2024 | 100.18 Mn |
| Jun 30, 2024 | 102.44 Mn |
| Mar 31, 2024 | 103.37 Mn |
| Dec 31, 2023 | 99.79 Mn |
| Sep 30, 2023 | 138.93 Mn |
| Jun 30, 2023 | 133.31 Mn |
| Mar 31, 2023 | 135.16 Mn |
| Dec 31, 2022 | 125.91 Mn |
| Sep 30, 2022 | 135.34 Mn |
| Jun 30, 2022 | 129.31 Mn |
| Mar 31, 2022 | 140.96 Mn |
| Dec 31, 2021 | 139.31 Mn |
| Sep 30, 2021 | 134.44 Mn |
Greenland Technologies Holding 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=current-assets&ticker=GTEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=GTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();