Largo (LGO) Assets (2020 - 2026)
Largo (LGO) posted Assets of $346.21 million for the quarter ended Jun 30, 2026, up 1.7% from $340.48 million a year earlier and up 0.7% from the prior quarter.
Largo (LGO) Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Largo's Assets came in at $318.76 million, unchanged from the prior year.
- Annual Assets shows a five-year compound annual growth rate of 1.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Largo's Assets was $318.67 million in the year ended Dec 31, 2024 (-16.5%), $381.62 million in the year ended Dec 31, 2023 (+7.3%), $355.75 million in the year ended Dec 31, 2022 (+13.3%) and $313.91 million in the year ended Dec 31, 2021 (+5.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Assets since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Assets increased in three of the last eight quarters, with an average decline of 4.0%.
- The strongest year-over-year quarter for Assets in the past five years was the quarter ended Mar 31, 2022, with growth of 33.6%; the weakest was the quarter ended Dec 31, 2024, with a decline of 16.5%.
- According to Business Quant data, Assets for the three prior quarters was $343.84 million (quarter ended Mar 31, 2026), $318.76 million (quarter ended Dec 31, 2025) and $322.31 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 133.50 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 24.13 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 57.64 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 24.55 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 59.73 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 37.80 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 52.35 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 36.95 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 99.15 Bn |
| 10 | Largo | 33.92 Mn | 7.00 Mn | - | 346.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 346.21 Mn |
| Mar 31, 2026 | 343.84 Mn |
| Dec 31, 2025 | 318.76 Mn |
| Sep 30, 2025 | 322.31 Mn |
| Jun 30, 2025 | 340.48 Mn |
| Mar 31, 2025 | 324.25 Mn |
| Dec 31, 2024 | 318.67 Mn |
| Sep 30, 2024 | 343.70 Mn |
| Jun 30, 2024 | 337.04 Mn |
| Mar 31, 2024 | 360.93 Mn |
| Dec 31, 2023 | 381.62 Mn |
| Sep 30, 2023 | 372.25 Mn |
| Jun 30, 2023 | 393.32 Mn |
| Mar 31, 2023 | 382.44 Mn |
| Dec 31, 2022 | 355.75 Mn |
| Sep 30, 2022 | 347.57 Mn |
| Jun 30, 2022 | 358.74 Mn |
| Mar 31, 2022 | 348.76 Mn |
| Dec 31, 2021 | 313.91 Mn |
| Sep 30, 2021 | 315.58 Mn |
Largo Assets 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=assets&ticker=LGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();