Largo (LGO) Selling, General & Administrative (2025 - 2026)
Largo (LGO) reported Selling, General & Administrative of -$868,000 for the quarter ended Jun 30, 2026, compared with -$1.57 million a year earlier.
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Analysis
Largo (LGO) Selling, General & Administrative (2025 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Largo posted Selling, General & Administrative of $8.31 million, up 53.0% from the prior year.
- Selling, General & Administrative has a five-year compound annual growth rate of 20.1% (years ended Dec 2020 to Dec 2025).
- By year, Selling, General & Administrative came in at $5.43 million in the year ended Dec 31, 2024 (-54.0%), $11.79 million in the year ended Dec 31, 2023 (-17.6%), $14.32 million in the year ended Dec 31, 2022 (+123.6%) and $6.4 million in the year ended Dec 31, 2021 (+92.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Largo | 31.88 Mn | 4.96 Mn | - | -868,000.00 |
API Access
Largo Selling, General & Administrative 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=selling-general-and-administrative&ticker=LGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();