MP Materials (MP) Selling, General & Administrative (2020 - 2026)
MP Materials' Selling, General & Administrative was $35.16 million in Q2 2026, up 28.2% from $27.43 million a year earlier and up 4.5% from the prior quarter.
MP Materials (MP) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, MP Materials' Selling, General & Administrative was $129.28 million through Jun 30, 2026, up 40.2% year-over-year; for FY2025, it was $112.07 million, up 34.5% from FY2024.
- Selling, General & Administrative has now increased for six consecutive years, with a five-year compound annual growth rate of 33.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $83.3 million in FY2024 (+5.1%), $79.25 million in FY2023 (+4.5%), $75.86 million in FY2022 (+33.9%) and $56.65 million in FY2021 (+111.6%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q1 2020.
- Compared with a year earlier, Selling, General & Administrative has increased for six straight quarters, with growth averaging 26.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 164.1%); the worst was Q4 2024 (a decline of 10.9%).
- Per Business Quant data, MP's Selling, General & Administrative in the three quarters before Q2 2026 was $33.64 million (Q1 2026), $32.07 million (Q4 2025) and $28.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | MP Materials | 8.42 Bn | 6.97 Bn | 36.20 Mn | 35.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.16 Mn |
| Mar 31, 2026 | 33.64 Mn |
| Dec 31, 2025 | 32.07 Mn |
| Sep 30, 2025 | 28.41 Mn |
| Jun 30, 2025 | 27.43 Mn |
| Mar 31, 2025 | 24.17 Mn |
| Dec 31, 2024 | 19.07 Mn |
| Sep 30, 2024 | 21.53 Mn |
| Jun 30, 2024 | 21.43 Mn |
| Mar 31, 2024 | 21.27 Mn |
| Dec 31, 2023 | 21.42 Mn |
| Sep 30, 2023 | 19.56 Mn |
| Jun 30, 2023 | 18.87 Mn |
| Mar 31, 2023 | 19.40 Mn |
| Dec 31, 2022 | 19.71 Mn |
| Sep 30, 2022 | 17.72 Mn |
| Jun 30, 2022 | 18.12 Mn |
| Mar 31, 2022 | 20.31 Mn |
| Dec 31, 2021 | 15.66 Mn |
| Sep 30, 2021 | 14.88 Mn |
MP Materials 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=MP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MP", "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=MP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();