Greenland Technologies Holding (GTEC) Research & Development (2019 - 2026)
Greenland Technologies Holding's Research & Development was $1.05 million in Q2 2026, up 135.9% from $443,720 a year earlier and up 34.2% from the prior quarter.
Greenland Technologies Holding (GTEC) Research & Development (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Greenland Technologies Holding's Research & Development was $5.22 million through Jun 30, 2026, up 285.0% year-over-year; for FY2025, it came in at $3.92 million, up 33.3% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In earlier years, Research & Development was $2.94 million in FY2024 (-45.8%), $5.42 million in FY2023 (-6.3%), $5.79 million in FY2022 (+4.7%) and $5.53 million in FY2021 (+131.7%).
- Quarterly Research & Development has moved between $81,457 (Q1 2025) and $2.83 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development has increased for four straight quarters, with growth averaging 169.2% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2026 (growth of 857.6%); the worst was Q1 2025 (a decline of 91.8%).
- Per Business Quant data, GTEC's Research & Development in the three quarters before Q2 2026 was $780,000 (Q1 2026), $2.83 million (Q4 2025) and $560,668 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 616.00 Mn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | - |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 227.00 Mn |
| 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 | 302.00 Mn |
| 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 | 1.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Mn |
| Mar 31, 2026 | 780,000.00 |
| Dec 31, 2025 | 2.83 Mn |
| Sep 30, 2025 | 560,668.00 |
| Jun 30, 2025 | 443,720.00 |
| Mar 31, 2025 | 81,457.00 |
| Dec 31, 2024 | 390,000.00 |
| Sep 30, 2024 | 440,000.00 |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 990,000.00 |
| Dec 31, 2023 | 1.63 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 1.43 Mn |
| Mar 31, 2023 | 1.12 Mn |
| Dec 31, 2022 | 2.82 Mn |
| Sep 30, 2022 | 1.02 Mn |
| Jun 30, 2022 | 862,535.00 |
| Mar 31, 2022 | 1.08 Mn |
| Dec 31, 2021 | 2.19 Mn |
| Sep 30, 2021 | 1.37 Mn |
Greenland Technologies Holding Research & Development 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=research-and-development&ticker=GTEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();