Largo (LGO) Intangibles (2020 - 2026)
Largo (LGO) reported Intangibles of $993,000 for the quarter ended Jun 30, 2026, down 45.9% from $1.84 million a year earlier and down 17.5% from the prior quarter.
Largo (LGO) Intangibles (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Largo posted Intangibles of $1.41 million, down 37.3% from the prior year.
- Intangibles has declined for three consecutive years, with a five-year compound annual growth rate of -20.2% (years ended Dec 2020 to Dec 2025).
- By year, Intangibles came in at $2.26 million in the year ended Dec 31, 2024 (-63.4%), $6.15 million in the year ended Dec 31, 2023 (-15.3%), $7.26 million in the year ended Dec 31, 2022 (+84.9%) and $3.93 million in the year ended Dec 31, 2021 (-10.0%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Intangibles in data going back to the quarter ended Dec 31, 2020.
- Year over year, Intangibles has now declined in each of the last 12 quarters, with an average decline of 47.5% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was the quarter ended Dec 31, 2022 (growth of 84.9%); the low point was the quarter ended Mar 31, 2025 (a decline of 64.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.2 million (quarter ended Mar 31, 2026), $1.41 million (quarter ended Dec 31, 2025) and $1.62 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 5.13 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | - |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 1.04 Bn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 148.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 2.75 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Largo | 33.24 Mn | 6.32 Mn | - | 993,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 993,000.00 |
| Mar 31, 2026 | 1.20 Mn |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 1.62 Mn |
| Jun 30, 2025 | 1.84 Mn |
| Mar 31, 2025 | 2.05 Mn |
| Dec 31, 2024 | 2.26 Mn |
| Sep 30, 2024 | 2.47 Mn |
| Jun 30, 2024 | 2.68 Mn |
| Mar 31, 2024 | 5.83 Mn |
| Dec 31, 2023 | 6.15 Mn |
| Sep 30, 2023 | 6.46 Mn |
| Jun 30, 2023 | 6.75 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | 7.26 Mn |
| Sep 30, 2022 | 7.37 Mn |
| Jun 30, 2022 | 5.59 Mn |
| Mar 31, 2022 | 4.79 Mn |
| Dec 31, 2021 | 3.93 Mn |
| Sep 30, 2021 | 4.04 Mn |
Largo Intangibles 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=intangibles&ticker=LGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();