Largo (LGO) Enterprise Value (2020 - 2026)
Largo (LGO) recorded Enterprise Value of $44.58 million in the quarter ended Jun 30, 2026, down 33.2% from $66.73 million a year earlier and down 38.5% from the prior quarter.
Largo (LGO) Enterprise Value (2020 - 2026) Analysis & Trends
On a TTM basis, Largo's Enterprise Value came in at $15.82 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $60.23 million, down 36.3% from the prior year.
- Annual Enterprise Value has declined for five straight years, with a five-year compound annual growth rate of -36.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Enterprise Value came in at $94.58 million in the year ended Dec 31, 2024 (-15.9%), $112.39 million in the year ended Dec 31, 2023 (-62.4%), $299.04 million in the year ended Dec 31, 2022 (-42.0%) and $515.58 million in the year ended Dec 31, 2021 (-9.1%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Enterprise Value in data going back to the quarter ended Dec 31, 2020.
- On a year-over-year basis, Enterprise Value has declined for five consecutive quarters, with an average decline of 14.3% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 30.1% in the quarter ended Mar 31, 2025, against a decline of 76.0% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $72.51 million (quarter ended Mar 31, 2026), $60.23 million (quarter ended Dec 31, 2025) and $94.39 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 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 |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - |
| 10 | Largo | 33.92 Mn | 7.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.58 Mn |
| Mar 31, 2026 | 72.51 Mn |
| Dec 31, 2025 | 60.23 Mn |
| Sep 30, 2025 | 94.39 Mn |
| Jun 30, 2025 | 66.73 Mn |
| Mar 31, 2025 | 87.32 Mn |
| Dec 31, 2024 | 94.58 Mn |
| Sep 30, 2024 | 97.64 Mn |
| Jun 30, 2024 | 79.74 Mn |
| Mar 31, 2024 | 67.14 Mn |
| Dec 31, 2023 | 112.39 Mn |
| Sep 30, 2023 | 125.66 Mn |
| Jun 30, 2023 | 219.60 Mn |
| Mar 31, 2023 | 279.17 Mn |
| Dec 31, 2022 | 299.04 Mn |
| Sep 30, 2022 | 266.52 Mn |
| Jun 30, 2022 | 358.91 Mn |
| Mar 31, 2022 | 738.39 Mn |
| Dec 31, 2021 | 515.58 Mn |
| Sep 30, 2021 | 530.20 Mn |
Largo Enterprise Value 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=enterprise-value&ticker=LGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();