Lifezone Metals (LZM) Price to Book (2022 - 2026)
Lifezone Metals' (LZM) Price to Book stood at 3.55 in the quarter ended Jun 30, 2026, up 12.4% from 3.16 a year earlier.
Powered by 
Analysis
Lifezone Metals (LZM) Price to Book (2022 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Lifezone Metals' Price to Book came in at 5.01, down 8.9% from the prior year.
- Annual Price to Book has declined for four straight years.
- Across earlier years, Price to Book came in at 5.50 in the year ended Dec 31, 2024 (-0.2%), 5.51 in the year ended Dec 31, 2023 (-30.8%), 7.96 in the year ended Dec 31, 2022 (-25.8%) and 10.73 in the year ended Dec 31, 2021.
- Quarterly Price to Book has ranged from 3.16 in the quarter ended Jun 30, 2025 to 10.22 in the quarter ended Jun 30, 2023 over the past five years.
- On a year-over-year basis, Price to Book rose in 1 of the last four quarters, with an average decline of 9.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Lifezone Metals | 330.07 Mn | 229.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.55 |
| Dec 31, 2025 | 5.01 |
| Jun 30, 2025 | 3.16 |
| Dec 31, 2024 | 5.50 |
| Jun 30, 2024 | 5.54 |
| Dec 31, 2023 | 5.51 |
| Sep 30, 2023 | 5.43 |
| Jun 30, 2023 | 10.22 |
| Mar 31, 2023 | 5.86 |
| Dec 31, 2022 | 7.96 |
API Access
Lifezone Metals 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=LZM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "LZM", "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=LZM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();