Greenland Technologies Holding (GTEC) Total Liabilities (2018 - 2026)
Greenland Technologies Holding (GTEC) posted Total Liabilities of $58.79 million for Q2 2026, down 2.6% from $60.34 million a year earlier but up 1.2% from the prior quarter.
Greenland Technologies Holding (GTEC) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Greenland Technologies Holding's Total Liabilities came in at $42.83 million, down 31.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- In prior years, Greenland Technologies Holding's Total Liabilities was $62.31 million in FY2024 (-21.9%), $79.82 million in FY2023 (+5.5%), $75.68 million in FY2022 (-13.7%) and $87.72 million in FY2021 (+7.9%).
- Quarterly Total Liabilities has run from a low of $42.83 million in Q4 2025 to a high of $91.58 million in Q3 2021 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last nine quarters, with an average decline of 17.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2024, with growth of 23.1%; the weakest was Q4 2025, with a decline of 31.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $58.08 million (Q1 2026), $42.83 million (Q4 2025) and $48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Greenland Technologies Holding | 16.38 Mn | -112.43 Mn | 9.54 Mn | 58.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.79 Mn |
| Mar 31, 2026 | 58.08 Mn |
| Dec 31, 2025 | 42.83 Mn |
| Sep 30, 2025 | 48.00 Mn |
| Jun 30, 2025 | 60.34 Mn |
| Mar 31, 2025 | 60.56 Mn |
| Dec 31, 2024 | 62.31 Mn |
| Sep 30, 2024 | 66.21 Mn |
| Jun 30, 2024 | 67.98 Mn |
| Mar 31, 2024 | 85.87 Mn |
| Dec 31, 2023 | 79.82 Mn |
| Sep 30, 2023 | 73.95 Mn |
| Jun 30, 2023 | 68.86 Mn |
| Mar 31, 2023 | 69.73 Mn |
| Dec 31, 2022 | 75.68 Mn |
| Sep 30, 2022 | 74.38 Mn |
| Jun 30, 2022 | 73.87 Mn |
| Mar 31, 2022 | 86.13 Mn |
| Dec 31, 2021 | 87.72 Mn |
| Sep 30, 2021 | 91.58 Mn |
Greenland Technologies Holding Total Liabilities 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=total-liabilities&ticker=GTEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();