Sigma Lithium (SGML) Enterprise Value (2020 - 2026)
Sigma Lithium (SGML) recorded Enterprise Value of $1.39 billion in the quarter ended Jun 30, 2026, up 186.8% from $485.59 million a year earlier and up 1.6% from the prior quarter.
Sigma Lithium (SGML) Enterprise Value (2020 - 2026) Analysis & Trends
On a TTM basis, Sigma Lithium's Enterprise Value came in at $1.38 billion as of Jun 30, 2026, up 286.4% year-over-year; for the year ended Dec 31, 2025, it was $1.46 billion, up 20.6% from the prior year.
- Annual Enterprise Value has a five-year compound annual growth rate of 53.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Enterprise Value came in at $1.21 billion in the year ended Dec 31, 2024 (-64.5%), $3.42 billion in the year ended Dec 31, 2023 (+18.7%), $2.88 billion in the year ended Dec 31, 2022 (+216.4%) and $911.39 million in the year ended Dec 31, 2021 (+427.8%).
- Quarterly Enterprise Value has ranged from $485.59 million in the quarter ended Jun 30, 2025 to $4.19 billion in the quarter ended Jun 30, 2023 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for three consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 429.1% in the quarter ended Dec 31, 2021, against a decline of 70.2% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.37 billion (quarter ended Mar 31, 2026), $1.46 billion (quarter ended Dec 31, 2025) and $707.12 million (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 | 162.52 Bn | 141.30 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.40 Bn | 101.91 Bn | - |
| 4 | Newmont | 123.81 Bn | 91.81 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 97.87 Bn | 81.91 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.84 Bn | 83.47 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.24 Bn | 44.44 Bn | 2.90 Bn |
| 8 | Nucor | 60.03 Bn | 49.42 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.24 Bn | 27.26 Bn | - |
| 10 | Sigma Lithium | 889.39 Mn | 856.56 Mn | 32.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.46 Bn |
| Sep 30, 2025 | 707.12 Mn |
| Jun 30, 2025 | 485.59 Mn |
| Mar 31, 2025 | 1.13 Bn |
| Dec 31, 2024 | 1.20 Bn |
| Sep 30, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.25 Bn |
| Mar 31, 2024 | 1.32 Bn |
| Dec 31, 2023 | 3.42 Bn |
| Sep 30, 2023 | 3.37 Bn |
| Jun 30, 2023 | 4.19 Bn |
| Mar 31, 2023 | 3.87 Bn |
| Dec 31, 2022 | 2.88 Bn |
| Sep 30, 2022 | 2.70 Bn |
| Jun 30, 2022 | 1.43 Bn |
| Mar 31, 2022 | 1.24 Bn |
| Dec 31, 2021 | 913.44 Mn |
| Sep 30, 2021 | 623.99 Mn |
Sigma Lithium Enterprise Value 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=enterprise-value&ticker=SGML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SGML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();