Largo (LGO) Operating Expenses (2020 - 2026)
Largo (LGO) posted Operating Expenses of -$32.9 million for the quarter ended Jun 30, 2026, compared with -$30.06 million a year earlier.
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Largo (LGO) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Largo was -$58.51 million; for the year ended Dec 31, 2025, it was -$161.56 million.
- In prior years, Largo's Operating Expenses was -$196.17 million in the year ended Dec 31, 2024, -$233.74 million in the year ended Dec 31, 2023, -$225.21 million in the year ended Dec 31, 2022 and -$166.52 million in the year ended Dec 31, 2021.
- Quarterly Operating Expenses has run from a low of -$99.95 million in the quarter ended Dec 31, 2022 to a high of $145.82 million in the quarter ended Dec 31, 2024 over five years.
- According to Business Quant data, Operating Expenses for the three prior quarters was $34.49 million (quarter ended Mar 31, 2026), -$25.79 million (quarter ended Dec 31, 2025) and -$34.31 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Largo | 33.92 Mn | 7.00 Mn | - | -32.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.90 Mn |
| Mar 31, 2026 | 34.49 Mn |
| Dec 31, 2025 | -25.79 Mn |
| Sep 30, 2025 | -34.31 Mn |
| Jun 30, 2025 | -30.06 Mn |
| Mar 31, 2025 | 42.48 Mn |
| Dec 31, 2024 | 145.82 Mn |
| Sep 30, 2024 | -29.54 Mn |
| Jun 30, 2024 | -36.38 Mn |
| Mar 31, 2024 | -49.71 Mn |
| Dec 31, 2023 | -45.93 Mn |
| Sep 30, 2023 | -42.58 Mn |
| Jun 30, 2023 | 43.03 Mn |
| Mar 31, 2023 | -45.93 Mn |
| Dec 31, 2022 | -99.95 Mn |
| Sep 30, 2022 | -45.60 Mn |
| Jun 30, 2022 | -50.70 Mn |
| Dec 31, 2021 | -37.75 Mn |
| Sep 30, 2021 | -32.13 Mn |
| Jun 30, 2021 | -34.97 Mn |
API Access
Largo Operating 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=operating-expenses&ticker=LGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();