Lucid (LCID) Return on Sales [ROS] (2020 - 2026)
Lucid (LCID) posted Return on Sales [ROS] of -266.97% for Q2 2026, up 42.57 percentage points from -309.54% a year earlier and up 83.33 percentage points from the prior quarter.
Lucid (LCID) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Lucid was -263.61%, up 59.15 percentage points year-over-year; for FY2025, it was -258.66%, up 115.28 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +14812.44 percentage points (FY2020 to FY2025).
- In prior years, Lucid's Return on Sales [ROS] was -373.94% in FY2024 (+146.76 pp), -520.70% in FY2023 (-94.19 pp), -426.52% in FY2022 (+5218.59 pp) and -5645.11% in FY2021 (+9425.99 pp).
- Quarterly Return on Sales [ROS] has run from a low of -214245.69% in Q3 2021 to a high of -203.69% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +91.18 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 213893.94 percentage points; the weakest was Q3 2021, with a drop of 165712.76 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -350.30% (Q1 2026), -203.69% (Q4 2025) and -279.88% (Q3 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 | Lucid | 1.63 Bn | -3.80 Bn | -426.73 Mn | -266.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -266.97% |
| Mar 31, 2026 | -350.30% |
| Dec 31, 2025 | -203.69% |
| Sep 30, 2025 | -279.88% |
| Jun 30, 2025 | -309.54% |
| Mar 31, 2025 | -294.38% |
| Dec 31, 2024 | -312.59% |
| Sep 30, 2024 | -385.20% |
| Jun 30, 2024 | -392.57% |
| Mar 31, 2024 | -422.55% |
| Dec 31, 2023 | -468.89% |
| Sep 30, 2023 | -546.30% |
| Jun 30, 2023 | -555.22% |
| Mar 31, 2023 | -516.73% |
| Dec 31, 2022 | -290.92% |
| Sep 30, 2022 | -351.75% |
| Jun 30, 2022 | -574.50% |
| Mar 31, 2022 | -1,036.03% |
| Dec 31, 2021 | -1,840.27% |
| Sep 30, 2021 | -214,245.69% |
Lucid 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=LCID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LCID", "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=LCID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();