Greenland Technologies Holding (GTEC) Return on Sales [ROS] (2019 - 2026)
Greenland Technologies Holding (GTEC) recorded Return on Sales [ROS] of 20.03% in 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) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, Greenland Technologies Holding's Return on Sales [ROS] came in at 16.30% as of Jun 30, 2026, up 5.06 percentage points year-over-year; for FY2025, it came in at 8.29%, down 6.71 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -1.74 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 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).
- Quarterly Return on Sales [ROS] has ranged from -10.70% in Q2 2025 to 22.40% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +1.96 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 30.72 percentage points in Q2 2026, against a drop of 28.02 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 22.40% (Q1 2026), -0.12% (Q4 2025) and 21.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 22.81% |
| 10 | Greenland Technologies Holding | 13.59 Mn | -115.21 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GTEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GTEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();