Lion Copper (LCGMD) Enterprise Value (2016 - 2026)
Lion Copper (LCGMD) posted Enterprise Value of $81.9 million for Q2 2026, down 33.05% sequentially from $122.4 million in Q1 2026, and up 52.91% year-over-year from $53.6 million in Q2 2025.
Lion Copper (LCGMD) Enterprise Value (2016 - 2026) Analysis & Trends
Lion Copper (LCGMD) has 11 years of Enterprise Value data on file, last reported at $81.9 million in Q2 2026.
- For the quarter ending Q2 2026, Enterprise Value rose 52.91% year-over-year to $81.9 million; the trailing twelve-month figure through Jun 2026 stood at $81.9 million (up 52.91% YoY), and the FY2025 full-year result was $57.9 million, up 138.96% from the prior year.
- Enterprise Value was $81.9 million for Q2 2026 at Lion Copper, down from $122.4 million in the prior quarter.
- Over the last five years, Enterprise Value for LCGMD reached as high as $122.4 million in Q1 2026 and fell as low as $15.4 million in Q3 2022.
- Average Enterprise Value over 5 years is $37.8 million, with a median of $26.6 million recorded in 2024.
- Across the five-year window, Enterprise Value tumbled 31.44% in 2022 and jumped 228.11% in 2026, its largest moves.
- Over 5 years, Enterprise Value stood at $15.9 million in 2022, then soared by 56.27% to $24.8 million in 2023, then slipped by 2.35% to $24.2 million in 2024, then jumped by 138.96% to $57.9 million in 2025, then soared by 41.62% to $81.9 million in 2026.
- Business Quant data shows LCGMD's Enterprise Value at $81.9 million in Q2 2026, $122.4 million in Q1 2026, and $57.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 97.22 Bn | 97.22 Bn | 2.43 Bn |
| 7 | Barrick Mining | 71.84 Bn | 56.58 Bn | 2.90 Bn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - |
| 10 | Lion Copper | 2.80 Bn | 2.80 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.93 Mn |
| Mar 31, 2026 | 122.38 Mn |
| Dec 31, 2025 | 57.85 Mn |
| Sep 30, 2025 | 55.90 Mn |
| Jun 30, 2025 | 53.58 Mn |
| Mar 31, 2025 | 37.30 Mn |
| Dec 31, 2024 | 24.21 Mn |
| Sep 30, 2024 | 26.88 Mn |
| Jun 30, 2024 | 27.21 Mn |
| Mar 31, 2024 | 26.34 Mn |
| Dec 31, 2023 | 24.79 Mn |
| Sep 30, 2023 | 21.79 Mn |
| Jun 30, 2023 | 22.05 Mn |
| Mar 31, 2023 | 28.53 Mn |
| Dec 31, 2022 | 15.87 Mn |
| Sep 30, 2022 | 15.43 Mn |
| Jun 30, 2022 | 21.28 Mn |
| Mar 31, 2022 | 17.75 Mn |
| Dec 31, 2021 | 23.14 Mn |
| Dec 31, 2020 | 10.23 Mn |
Lion Copper 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=LCGMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "LCGMD", "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=LCGMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();