Greenland Technologies Holding (GTEC) Accumulated Expenses (2021 - 2024)
Greenland Technologies Holding (GTEC) reported Accumulated Expenses of $177,566 for Q4 2024, unchanged from $177,566 a year earlier.
Analysis
Greenland Technologies Holding (GTEC) Accumulated Expenses (2021 - 2024) Analysis & Trends
Dating back to Q4 2021, Greenland Technologies Holding's Accumulated Expenses record includes 8 quarters.
- Accumulated Expenses has a three-year compound annual growth rate of 0.4% (FY2021 to FY2024).
- By year, Accumulated Expenses came in at $177,566 in FY2023 (-68.8%), $569,292 in FY2022 (+224.0%) and $175,687 in FY2021.
- Five-year quarterly Accumulated Expenses spans a low of $175,687 in Q4 2021 and a high of $1.44 million in Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn |
| 10 | Greenland Technologies Holding | 16.38 Mn | -112.43 Mn | 9.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 177,566.00 |
| Mar 31, 2024 | 1.44 Mn |
| Dec 31, 2023 | 177,566.00 |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 861,151.00 |
| Dec 31, 2022 | 569,292.00 |
| Dec 31, 2021 | 175,687.00 |
API Access
Greenland Technologies Holding Accumulated 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=accumulated-expenses&ticker=GTEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();