Largo (LGO) Change in Accured Expenses (2020 - 2023)
Largo (LGO) posted Change in Accured Expenses of -$2.45 million for the quarter ended Mar 31, 2023, compared with -$234,000 a year earlier.
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Analysis
Largo (LGO) Change in Accured Expenses (2020 - 2023) Analysis & Trends
For the trailing twelve months through Mar 31, 2023, Change in Accured Expenses at Largo was -$3.09 million; for the year ended Dec 31, 2022, it came in at $5.18 million, up 184.7% from the prior year.
- In prior years, Largo's Change in Accured Expenses was $1.82 million in the year ended Dec 31, 2021 and -$46.88 million in the year ended Dec 31, 2020.
- Quarterly Change in Accured Expenses has run from a low of -$51.4 million in the quarter ended Jun 30, 2020 to a high of $5.47 million in the quarter ended Sep 30, 2022 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 107.70 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | -166.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 309.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | -106.54 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | - |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 298.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Largo | 31.88 Mn | 4.96 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -2.45 Mn |
| Dec 31, 2022 | -5.88 Mn |
| Sep 30, 2022 | 5.47 Mn |
| Mar 31, 2022 | -234,000.00 |
| Dec 31, 2021 | -2.60 Mn |
| Sep 30, 2021 | 1.77 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | -2.60 Mn |
| Jun 30, 2020 | -51.40 Mn |
API Access
Largo Change in Accured 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=change-in-accured-expenses&ticker=LGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();