Greenland Technologies Holding (GTEC) Cost of Revenue (2019 - 2026)
Greenland Technologies Holding's Cost of Revenue came in at $20.34 million for Q2 2026, up 27.3% from $15.97 million a year earlier and up 21.2% from the prior quarter.
Greenland Technologies Holding (GTEC) Cost of Revenue (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Greenland Technologies Holding reported Cost of Revenue of $68.38 million, up 15.7% year-over-year; for FY2025, it was $62.25 million, up 1.4% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $61.41 million in FY2024 (-6.6%), $65.76 million in FY2023 (-7.4%), $71 million in FY2022 (-10.4%) and $79.25 million in FY2021 (+46.6%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q1 2022.
- Year-over-year, Cost of Revenue has increased for four consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2021 (growth of 37.1%), and the weakest in Q2 2022 (a decline of 29.9%).
- Business Quant data shows GTEC's Cost of Revenue at $16.78 million (Q1 2026), $15.43 million (Q4 2025) and $15.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 2.22 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 3.82 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 2.04 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Greenland Technologies Holding | 16.38 Mn | -112.43 Mn | 9.54 Mn | 20.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.34 Mn |
| Mar 31, 2026 | 16.78 Mn |
| Dec 31, 2025 | 15.43 Mn |
| Sep 30, 2025 | 15.83 Mn |
| Jun 30, 2025 | 15.97 Mn |
| Mar 31, 2025 | 15.02 Mn |
| Dec 31, 2024 | 14.22 Mn |
| Sep 30, 2024 | 13.87 Mn |
| Jun 30, 2024 | 16.24 Mn |
| Mar 31, 2024 | 17.08 Mn |
| Dec 31, 2023 | 16.92 Mn |
| Sep 30, 2023 | 15.57 Mn |
| Jun 30, 2023 | 16.64 Mn |
| Mar 31, 2023 | 16.63 Mn |
| Dec 31, 2022 | 15.32 Mn |
| Sep 30, 2022 | 16.97 Mn |
| Jun 30, 2022 | 15.76 Mn |
| Mar 31, 2022 | 22.94 Mn |
| Dec 31, 2021 | 19.25 Mn |
| Sep 30, 2021 | 17.99 Mn |
Greenland Technologies Holding Cost of Revenue 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=cost-of-revenue&ticker=GTEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();