Sigma Lithium (SGML) Accumulated Expenses (2020 - 2023)
Sigma Lithium's Accumulated Expenses was $1.74 million in the quarter ended Sep 30, 2023.
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Analysis
Sigma Lithium (SGML) Accumulated Expenses (2020 - 2023) Analysis & Trends
As of Dec 31, 2022, Accumulated Expenses at Sigma Lithium came in at $1.02 million.
- In earlier years, Accumulated Expenses was $4,788 in the year ended Dec 31, 2021.
- Per Business Quant data, SGML's Accumulated Expenses in the three quarters before the quarter ended Sep 30, 2023 was $78,168 (quarter ended Jun 30, 2023), $79,148 (quarter ended Mar 31, 2023) and $1.02 million (quarter ended Dec 31, 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn |
| 10 | Sigma Lithium | 589.32 Mn | 556.49 Mn | 32.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.74 Mn |
| Jun 30, 2023 | 79,245.28 |
| Mar 31, 2023 | 79,130.89 |
| Dec 31, 2022 | 1.02 Mn |
| Jun 30, 2022 | -204,140.25 |
| Mar 31, 2022 | 10,414.75 |
| Dec 31, 2021 | 4,707.95 |
| Sep 30, 2021 | 291,389.23 |
| Jun 30, 2021 | 222,648.89 |
| Mar 31, 2021 | 156,091.54 |
| Dec 31, 2020 | 64,532.15 |
| Sep 30, 2020 | 58,396.72 |
API Access
Sigma Lithium Accumulated 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=accumulated-expenses&ticker=SGML&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SGML&period=max&api_key=YOUR_API_KEY");
const data = await res.json();