Sigma Lithium (SGML) Return on Sales [ROS] (2023 - 2026)
Sigma Lithium (SGML) posted Return on Sales [ROS] of 106.12% for the quarter ended Jun 30, 2026, up 65.82 percentage points from 40.30% a year earlier and up 17.90 percentage points from the prior quarter.
Sigma Lithium (SGML) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Sigma Lithium was 90.79%, up 63.57 percentage points year-over-year; for the year ended Dec 31, 2025, it came in at 55.36%, up 29.07 percentage points from the prior year.
- In prior years, Sigma Lithium's Return on Sales [ROS] was 26.29% in the year ended Dec 31, 2024 (-52.78 pp) and 79.07% in the year ended Dec 31, 2023.
- Quarterly Return on Sales [ROS] has run from a low of -38.74% in the quarter ended Sep 30, 2024 to a high of 165.52% in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +24.07 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was the quarter ended Dec 31, 2025, with a gain of 128.92 percentage points; the weakest was the quarter ended Sep 30, 2024, with a drop of 114.91 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 88.21% (quarter ended Mar 31, 2026), 165.52% (quarter ended Dec 31, 2025) and 21.02% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn | 61.16% |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn | 16.03% |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn | 60.65% |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - | 6.29% |
| 10 | Sigma Lithium | 872.29 Mn | 839.45 Mn | 32.81 Mn | 106.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.12% |
| Mar 31, 2026 | 88.21% |
| Dec 31, 2025 | 165.52% |
| Sep 30, 2025 | 21.02% |
| Jun 30, 2025 | -119.36% |
| Mar 31, 2025 | 14.24% |
| Dec 31, 2024 | 11.19% |
| Sep 30, 2024 | -75,234.98% |
| Jun 30, 2024 | 12,277.49% |
| Mar 31, 2024 | 35.05% |
| Dec 31, 2023 | 33.92% |
| Sep 30, 2023 | 76.17% |
Sigma Lithium 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=SGML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SGML", "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=SGML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();