Lotus Technology (LOT) Return on Sales [ROS] (2022 - 2025)
Lotus Technology's Return on Sales [ROS] was -40.47% in the quarter ended Dec 31, 2025, up 28.98 percentage points from -69.45% a year earlier and up 27.68 percentage points from the prior quarter.
Lotus Technology (LOT) Return on Sales [ROS] (2022 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Return on Sales [ROS] at Lotus Technology came in at -193.84%, down 108.77 percentage points from the prior year.
- Return on Sales [ROS] shows a four-year change of +2869.41 percentage points (years ended Dec 2021 to Dec 2025).
- In earlier years, Return on Sales [ROS] was -85.07% in the year ended Dec 31, 2024 (+23.32 pp), -108.38% in the year ended Dec 31, 2023 (+7084.39 pp), -7192.77% in the year ended Dec 31, 2022 (-4129.52 pp) and -3063.25% in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 marks the highest quarterly Return on Sales [ROS] in data going back to the quarter ended Dec 31, 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +101.68 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was the quarter ended Dec 31, 2023 (a gain of 5974.46 percentage points); the worst was the quarter ended Jun 30, 2025 (a drop of 37.01 percentage points).
- Per Business Quant data, LOT's Return on Sales [ROS] in the three quarters before the quarter ended Dec 31, 2025 was -68.15% (quarter ended Sep 30, 2025), -127.83% (quarter ended Jun 30, 2025) and -110.96% (quarter ended Mar 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.41% |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 7.86% |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 31.22% |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 8.76% |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 3.04% |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 1.32% |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -50.42% |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 12.19% |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 1.61% |
| 10 | Lotus Technology | 545.78 Mn | 253.82 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -40.47% |
| Sep 30, 2025 | -68.15% |
| Jun 30, 2025 | -127.83% |
| Mar 31, 2025 | -110.96% |
| Dec 31, 2024 | -69.45% |
| Sep 30, 2024 | -62.83% |
| Jun 30, 2024 | -90.83% |
| Mar 31, 2024 | -134.80% |
| Dec 31, 2023 | -63.16% |
| Sep 30, 2023 | -86.99% |
| Jun 30, 2023 | -164.67% |
| Mar 31, 2023 | -846.04% |
| Dec 31, 2022 | -6,037.63% |
Lotus Technology 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=LOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LOT", "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=LOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();