Lifezone Metals (LZM) Operating Margin (2022 - 2024)
Lifezone Metals' Operating Margin came in at -1742.17% for the year ended Dec 31, 2025, up 32611.61 percentage points from -34353.78% a year earlier.
Lifezone Metals (LZM) Operating Margin (2022 - 2024) Analysis & Trends
Going back to the year ended Dec 31, 2021, Lifezone Metals' Operating Margin data covers 5 years.
- Operating Margin carries a four-year change of -880.60 percentage points (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Operating Margin since the year ended Dec 31, 2022.
- Per Business Quant, earlier years put Operating Margin at -34353.78% in the year ended Dec 31, 2024 (-9643.52 pp), -24710.26% in the year ended Dec 31, 2023 (-23832.78 pp), -877.48% in the year ended Dec 31, 2022 (-15.90 pp) and -861.57% in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 61.16% |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 16.48% |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 12.17% |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 6.29% |
| 10 | Lifezone Metals | 321.51 Mn | 221.22 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -65,084.30% |
| Mar 31, 2024 | -10,162.28% |
| Dec 31, 2023 | -1,166.78% |
| Sep 30, 2023 | -62,472.33% |
| Jun 30, 2023 | -52,110.22% |
| Mar 31, 2023 | -1,423.37% |
| Dec 31, 2022 | -1,331.38% |
| Sep 30, 2022 | -789.11% |
Lifezone Metals Operating Margin 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=operating-margin&ticker=LZM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=LZM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();