Sigma Lithium (SGML) Total Liabilities (2020 - 2026)
Sigma Lithium's Total Liabilities came in at $395.61 million for the quarter ended Jun 30, 2026, up 126.7% from $174.53 million a year earlier and up 56.4% from the prior quarter.
Sigma Lithium (SGML) Total Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Sigma Lithium's Total Liabilities was $170.03 million, down 0.8% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 81.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $171.48 million in the year ended Dec 31, 2024 (-14.5%), $200.49 million in the year ended Dec 31, 2023, $92,822 in the year ended Dec 31, 2022 (-98.9%) and $8.59 million in the year ended Dec 31, 2021 (+0.5%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Total Liabilities in data going back to the quarter ended Dec 31, 2020.
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Dec 31, 2022 (growth of 985.8%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 38.6%).
- Business Quant data shows SGML's Total Liabilities at $252.95 million (quarter ended Mar 31, 2026), $170.03 million (quarter ended Dec 31, 2025) and $259.05 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 145.61 Bn | 120.34 Bn | 3.10 Bn | 12.01 Bn |
| 3 | Rio Tinto | 138.54 Bn | 138.54 Bn | - | 61.80 Bn |
| 4 | Newmont | 127.15 Bn | 92.29 Bn | 4.22 Bn | 22.33 Bn |
| 5 | Ternium | 100.63 Bn | 93.91 Bn | - | 11.67 Bn |
| 6 | Agnico Eagle Mines | 97.48 Bn | 92.69 Bn | - | 9.73 Bn |
| 7 | Freeport-Mcmoran | 88.12 Bn | 72.16 Bn | 2.19 Bn | 27.51 Bn |
| 8 | Barrick Mining | 69.35 Bn | 47.84 Bn | 2.90 Bn | 25.04 Bn |
| 9 | Nucor | 59.10 Bn | 48.48 Bn | 2.03 Bn | 13.69 Bn |
| 10 | Sigma Lithium | 624.47 Mn | 452.44 Mn | - | 237.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 395.61 Mn |
| Mar 31, 2026 | 252.95 Mn |
| Dec 31, 2025 | 237.12 Mn |
| Sep 30, 2025 | 259.05 Mn |
| Jun 30, 2025 | 174.53 Mn |
| Mar 31, 2025 | 242.22 Mn |
| Dec 31, 2024 | 235.35 Mn |
| Sep 30, 2024 | 256.97 Mn |
| Jun 30, 2024 | 283.89 Mn |
| Mar 31, 2024 | 278.99 Mn |
| Dec 31, 2023 | 206.32 Mn |
| Sep 30, 2023 | 175.21 Mn |
| Jun 30, 2023 | 156.18 Mn |
| Mar 31, 2023 | 137.94 Mn |
| Dec 31, 2022 | 92.83 Mn |
| Sep 30, 2022 | 8.60 Mn |
| Jun 30, 2022 | 11.09 Mn |
| Mar 31, 2022 | 5.24 Mn |
| Dec 31, 2021 | 8.44 Mn |
| Sep 30, 2021 | 5.41 Mn |
Sigma Lithium Total Liabilities 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=total-liabilities&ticker=SGML&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SGML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();