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.
Powered by 
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 | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.61 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 722.41 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | - |
| 10 | Largo | 33.92 Mn | 7.00 Mn | - | -13.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.94 Mn |
| Mar 31, 2026 | 6.06 Mn |
| Dec 31, 2025 | 4.18 Mn |
| Sep 30, 2025 | -9.20 Mn |
| Jun 30, 2025 | -5.98 Mn |
| Mar 31, 2025 | 19.66 Mn |
| Dec 31, 2024 | 10.54 Mn |
| Sep 30, 2024 | 15.03 Mn |
| Jun 30, 2024 | 8.14 Mn |
| Mar 31, 2024 | 25.23 Mn |
| Dec 31, 2023 | 7.41 Mn |
| Sep 30, 2023 | 11.84 Mn |
| Jun 30, 2023 | 78.01 Mn |
| Mar 31, 2023 | 16.21 Mn |
| Dec 31, 2022 | 2.24 Mn |
| Sep 30, 2022 | 3.60 Mn |
| Jun 30, 2022 | 28.07 Mn |
| Dec 31, 2021 | 5.19 Mn |
| Sep 30, 2021 | 18.21 Mn |
| Jun 30, 2021 | 20.20 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();