Greenland Technologies Holding (GTEC) Operating Margin (2019 - 2026)
Greenland Technologies Holding's Operating Margin came in at 20.03% for Q2 2026, up 30.72 percentage points from -10.70% a year earlier but down 2.37 percentage points from the prior quarter.
Greenland Technologies Holding (GTEC) Operating Margin (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Greenland Technologies Holding reported Operating Margin of 16.30%, up 5.06 percentage points year-over-year; for FY2025, it was 8.29%, down 6.71 percentage points from FY2024.
- Operating Margin carries a five-year change of -1.74 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 15.00% in FY2024 (+3.07 pp), 11.93% in FY2023 (+5.37 pp), 6.56% in FY2022 (-1.79 pp) and 8.35% in FY2021 (-1.69 pp).
- The five-year range for quarterly Operating Margin is -10.70% (Q2 2025) to 22.40% (Q1 2026).
- Year-over-year, Operating Margin increased in six of the last eight quarters, with an average year-over-year change of +1.96 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in Q2 2026 (a gain of 30.72 percentage points), and the weakest in Q2 2025 (a drop of 28.02 percentage points).
- Business Quant data shows GTEC's Operating Margin at 22.40% (Q1 2026), -0.12% (Q4 2025) and 21.65% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 26.67% |
| 10 | Greenland Technologies Holding | 23.89 Mn | -110.75 Mn | 9.54 Mn | 20.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.03% |
| Mar 31, 2026 | 22.40% |
| Dec 31, 2025 | -0.12% |
| Sep 30, 2025 | 21.65% |
| Jun 30, 2025 | -10.70% |
| Mar 31, 2025 | 22.18% |
| Dec 31, 2024 | 19.38% |
| Sep 30, 2024 | 15.55% |
| Jun 30, 2024 | 17.32% |
| Mar 31, 2024 | 8.48% |
| Dec 31, 2023 | 9.62% |
| Sep 30, 2023 | 12.85% |
| Jun 30, 2023 | 14.46% |
| Mar 31, 2023 | 10.72% |
| Dec 31, 2022 | -8.86% |
| Sep 30, 2022 | 9.52% |
| Jun 30, 2022 | 10.75% |
| Mar 31, 2022 | 11.49% |
| Dec 31, 2021 | -0.47% |
| Sep 30, 2021 | 8.89% |
Greenland Technologies Holding Operating Margin 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=operating-margin&ticker=GTEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();