Lifezone Metals (LZM) Selling, General & Administrative (2022 - 2024)
Lifezone Metals (LZM) recorded Selling, General & Administrative of -$19.12 million in the year ended Dec 31, 2025, compared with -$39.08 million a year earlier.
Lifezone Metals (LZM) Selling, General & Administrative (2022 - 2024) Analysis & Trends
Starting with the year ended Dec 31, 2021, Lifezone Metals' Selling, General & Administrative history includes 5 years.
- The figure for the year ended Dec 31, 2025 is the highest annual Selling, General & Administrative in data going back to the year ended Dec 31, 2021.
- Per Business Quant data, LZM's Selling, General & Administrative was -$39.08 million in the year ended Dec 31, 2024, -$366.08 million in the year ended Dec 31, 2023, -$28.56 million in the year ended Dec 31, 2022 and -$20.06 million in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Lifezone Metals | 330.07 Mn | 229.77 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -5.49 Mn |
| Mar 31, 2024 | -4.07 Mn |
| Dec 31, 2023 | -4.82 Mn |
| Sep 30, 2023 | -347.84 Mn |
| Jun 30, 2023 | -5.78 Mn |
| Mar 31, 2023 | -7.63 Mn |
| Dec 31, 2022 | -18.43 Mn |
| Sep 30, 2022 | -4.61 Mn |
Lifezone Metals Selling, General & Administrative 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=selling-general-and-administrative&ticker=LZM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LZM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();