Sigma Lithium (SGML) Assets (2020 - 2026)
Sigma Lithium (SGML) posted Assets of $477.91 million for the quarter ended Jun 30, 2026, up 79.4% from $266.45 million a year earlier and up 46.9% from the prior quarter.
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Analysis
Sigma Lithium (SGML) Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Sigma Lithium's Assets came in at $210.64 million, down 11.8% from the prior year.
- Annual Assets shows a five-year compound annual growth rate of 53.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Sigma Lithium's Assets was $238.93 million in the year ended Dec 31, 2024 (-35.0%), $367.56 million in the year ended Dec 31, 2023, $227,926 in the year ended Dec 31, 2022 (-99.9%) and $156.13 million in the year ended Dec 31, 2021 (+530.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Assets since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Assets increased in two of the last eight quarters, with an average decline of 13.1%.
- The strongest year-over-year quarter for Assets in the past five years was the quarter ended Dec 31, 2021, with growth of 509.6%; the weakest was the quarter ended Mar 31, 2025, with a decline of 99.9%.
- According to Business Quant data, Assets for the three prior quarters was $325.35 million (quarter ended Mar 31, 2026), $210.64 million (quarter ended Dec 31, 2025) and $342.82 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 133.50 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 24.13 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 57.64 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 24.55 Bn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 59.73 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 37.80 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 52.35 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 36.95 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 99.15 Bn |
| 10 | Sigma Lithium | 1.05 Bn | 1.02 Bn | 32.81 Mn | 477.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 477.91 Mn |
| Mar 31, 2026 | 325.35 Mn |
| Dec 31, 2025 | 210.64 Mn |
| Sep 30, 2025 | 342.82 Mn |
| Jun 30, 2025 | 266.45 Mn |
| Mar 31, 2025 | 348.31 Mn |
| Dec 31, 2024 | 234.17 Mn |
| Sep 30, 2024 | 368.83 Mn |
| Jun 30, 2024 | 414.29 Mn |
| Mar 31, 2024 | 327.12 Bn |
| Dec 31, 2023 | 357.89 Mn |
| Sep 30, 2023 | 336.17 Mn |
| Jun 30, 2023 | 283.99 Mn |
| Mar 31, 2023 | 269.04 Mn |
| Dec 31, 2022 | 227.57 Mn |
| Jun 30, 2022 | 151.63 Mn |
| Mar 31, 2022 | 154.56 Mn |
| Dec 31, 2021 | 155.22 Mn |
| Sep 30, 2021 | 52.86 Mn |
| Dec 31, 2020 | 25.46 Mn |
API Access
Sigma Lithium Assets 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=assets&ticker=SGML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SGML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();