Sigma Lithium (SGML) EV to EBITDA (2023 - 2026)
Sigma Lithium's EV to EBITDA was 9.67 in the quarter ended Jun 30, 2026, down 0.3% from 9.71 a year earlier and down 39.8% from the prior quarter.
Sigma Lithium (SGML) EV to EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sigma Lithium's EV to EBITDA was 9.57 through Jun 30, 2026, up 34.3% year-over-year; for the year ended Dec 31, 2025, it came in at 20.56, down 9.2% from the prior year.
- In earlier years, EV to EBITDA was 22.65 in the year ended Dec 31, 2024 (-26.7%) and 30.89 in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly EV to EBITDA since the quarter ended Jun 30, 2024.
- Compared with a year earlier, EV to EBITDA has declined for four straight quarters, with an average decline of 20.6% over the last seven quarters.
- Per Business Quant data, SGML's EV to EBITDA in the three quarters before the quarter ended Jun 30, 2026 was 16.07 (quarter ended Mar 31, 2026), 20.56 (quarter ended Dec 31, 2025) and 11.20 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - |
| 10 | Sigma Lithium | 905.53 Mn | 872.70 Mn | 32.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.51 |
| Mar 31, 2026 | 21.61 |
| Dec 31, 2025 | 43.72 |
| Sep 30, 2025 | 61.38 |
| Jun 30, 2025 | 140.88 |
| Mar 31, 2025 | 33.68 |
| Dec 31, 2024 | 30.12 |
| Sep 30, 2024 | 28.59 |
| Jun 30, 2024 | 10.19 |
| Mar 31, 2024 | 17.28 |
| Dec 31, 2023 | 90.66 |
Sigma Lithium EV to EBITDA 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=ev-to-ebitda&ticker=SGML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SGML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();