Sigma Lithium (SGML) Non Operating Interest Expenses (2021 - 2023)
Sigma Lithium's Non Operating Interest Expenses came in at -$61.48 million for the year ended Dec 31, 2024, compared with -$7.27 million a year earlier.
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Analysis
Sigma Lithium (SGML) Non Operating Interest Expenses (2021 - 2023) Analysis & Trends
Going back to the year ended Dec 31, 2020, Sigma Lithium's Non Operating Interest Expenses data covers 5 years.
- The figure for the year ended Dec 31, 2024 represents the lowest annual Non Operating Interest Expenses in data going back to the year ended Dec 31, 2020.
- Per Business Quant, earlier years put Non Operating Interest Expenses at -$7.27 million in the year ended Dec 31, 2023, $242,375 in the year ended Dec 31, 2022 (-7.1%), $260,931 in the year ended Dec 31, 2021 (+253.7%) and $73,775 in the year ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | - |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | -121.40 Mn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | -31.00 Mn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | -52.65 Mn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 15.04 Mn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | - |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | -38.00 Mn |
| 10 | Sigma Lithium | 589.32 Mn | 556.49 Mn | 32.81 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -3.53 Mn |
| Mar 31, 2023 | -284,043.40 |
| Dec 31, 2022 | 266,686.46 |
| Sep 30, 2022 | -13,801.43 |
| Dec 31, 2021 | 298,294.37 |
| Sep 30, 2021 | -4,766.46 |
API Access
Sigma Lithium Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SGML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SGML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();