Largo (LGO) EBITDA (2020 - 2026)
Largo's EBITDA was -$13.94 million in the quarter ended Jun 30, 2026, compared with -$5.98 million a year earlier.
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Analysis
Largo (LGO) EBITDA (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Largo's EBITDA was -$12.9 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was $27.87 million, down 34.9% from the prior year.
- EBITDA shows a five-year compound annual growth rate of -11.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, EBITDA was $42.84 million in the year ended Dec 31, 2024 (+23.5%), $34.7 million in the year ended Dec 31, 2023 (+34.9%), $25.73 million in the year ended Dec 31, 2022 (-93.4%) and $387.31 million in the year ended Dec 31, 2021 (+663.3%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly EBITDA since the quarter ended Jun 30, 2020.
- Compared with a year earlier, EBITDA was higher in two of the last five quarters, with an average decline of 16.5%.
- The best year-over-year quarter for EBITDA over five years was the quarter ended Dec 31, 2023 (growth of 230.3%); the worst was the quarter ended Jun 30, 2024 (a decline of 89.6%).
- Per Business Quant data, LGO's EBITDA in the three quarters before the quarter ended Jun 30, 2026 was $6.06 million (quarter ended Mar 31, 2026), $4.18 million (quarter ended Dec 31, 2025) and -$9.2 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | 3.05 Bn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | 1.65 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | 775.90 Mn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 2.46 Bn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | 2.53 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | 3.29 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | 2.01 Bn |
| 10 | Largo | 22.61 Mn | -11.26 Mn | - | -10.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.03 Mn |
| Mar 31, 2026 | 11.90 Mn |
| Dec 31, 2025 | 10.65 Mn |
| Sep 30, 2025 | -5.12 Mn |
| Jun 30, 2025 | 2.48 Mn |
| Mar 31, 2025 | -1.96 Mn |
| Dec 31, 2024 | 10.57 Mn |
| Sep 30, 2024 | -87.00 |
| Jun 30, 2024 | 18.34 Mn |
| Mar 31, 2024 | 27.04 Mn |
| Dec 31, 2023 | 9.48 Mn |
| Sep 30, 2023 | 264.00 |
| Jun 30, 2023 | 79.99 Mn |
| Mar 31, 2023 | 8.76 Mn |
| Dec 31, 2022 | 43.85 Mn |
| Sep 30, 2022 | 3.90 Mn |
| Jun 30, 2022 | 28.38 Mn |
| Dec 31, 2021 | 5.32 Mn |
| Sep 30, 2021 | 18.55 Mn |
| Jun 30, 2021 | 20.31 Mn |
API Access
Largo EBITDA 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=ebitda&ticker=LGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();