Largo (LGO) Price to Book (2020 - 2026)
Largo's Price to Book was 0.31 in the quarter ended Jun 30, 2026, down 37.2% from 0.49 a year earlier and down 37.2% from the prior quarter.
Analysis
Largo (LGO) Price to Book (2020 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Book at Largo came in at 0.47, down 27.5% from the prior year.
- In earlier years, Price to Book was 0.64 in the year ended Dec 31, 2024 (+11.3%), 0.58 in the year ended Dec 31, 2023 (-53.9%), 1.25 in the year ended Dec 31, 2022 (-44.4%) and 2.26 in the year ended Dec 31, 2021 (-13.8%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Price to Book in data going back to the quarter ended Dec 31, 2020.
- Compared with a year earlier, Price to Book has declined for three straight quarters, with an average decline of 6.1% over the last eight quarters.
- The best year-over-year quarter for Price to Book over five years was the quarter ended Mar 31, 2025 (growth of 36.1%); the worst was the quarter ended Mar 31, 2024 (a decline of 62.8%).
- Per Business Quant data, LGO's Price to Book in the three quarters before the quarter ended Jun 30, 2026 was 0.49 (quarter ended Mar 31, 2026), 0.47 (quarter ended Dec 31, 2025) and 0.71 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - |
| 10 | Largo | 32.56 Mn | 5.64 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.31 |
| Mar 31, 2026 | 0.49 |
| Dec 31, 2025 | 0.47 |
| Sep 30, 2025 | 0.71 |
| Jun 30, 2025 | 0.49 |
| Mar 31, 2025 | 0.61 |
| Dec 31, 2024 | 0.64 |
| Sep 30, 2024 | 0.67 |
| Jun 30, 2024 | 0.57 |
| Mar 31, 2024 | 0.45 |
| Dec 31, 2023 | 0.58 |
| Sep 30, 2023 | 0.69 |
| Jun 30, 2023 | 0.98 |
| Mar 31, 2023 | 1.20 |
| Dec 31, 2022 | 1.25 |
| Sep 30, 2022 | 1.20 |
| Jun 30, 2022 | 1.52 |
| Mar 31, 2022 | 2.82 |
| Dec 31, 2021 | 2.26 |
| Sep 30, 2021 | 2.31 |
API Access
Largo Price to Book 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=price-to-book&ticker=LGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();