MP Materials (MP) Change in Inventory (2020 - 2026)
MP Materials (MP) recorded Change in Inventory of $11.96 million in Q2 2026, down 44.0% from $21.34 million a year earlier but up 35.1% from the prior quarter.
MP Materials (MP) Change in Inventory (2020 - 2026) Analysis & Trends
On a TTM basis, MP Materials' Change in Inventory came in at $83.39 million as of Jun 30, 2026, up 59.0% year-over-year; for FY2025, it came in at $115.02 million, up 176.9% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 65.6% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at $41.54 million in FY2024 (-11.8%), $47.1 million in FY2023 (+93.7%), $24.31 million in FY2022 (+195.5%) and $8.23 million in FY2021 (-10.8%).
- Quarterly Change in Inventory has ranged from -$1.38 million in Q3 2021 to $31.63 million in Q3 2025 over the past five years.
- On a year-over-year basis, Change in Inventory rose in two of the last five quarters, with an average decline of 30.8%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 442.0% in Q1 2023, against a decline of 90.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.85 million (Q1 2026), $30.95 million (Q4 2025) and $31.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 50.60 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 131.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 372.00 Mn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | -42.49 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | - |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 377.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | - |
| 10 | MP Materials | 8.27 Bn | 6.81 Bn | 36.20 Mn | 11.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.96 Mn |
| Mar 31, 2026 | 8.85 Mn |
| Dec 31, 2025 | 30.95 Mn |
| Sep 30, 2025 | 31.63 Mn |
| Jun 30, 2025 | 21.34 Mn |
| Mar 31, 2025 | 31.10 Mn |
| Dec 31, 2024 | -1.31 Mn |
| Sep 30, 2024 | 1.31 Mn |
| Jun 30, 2024 | 20.60 Mn |
| Mar 31, 2024 | 20.94 Mn |
| Dec 31, 2023 | 21.60 Mn |
| Sep 30, 2023 | 14.09 Mn |
| Jun 30, 2023 | 6.38 Mn |
| Mar 31, 2023 | 5.02 Mn |
| Dec 31, 2022 | 1.93 Mn |
| Sep 30, 2022 | 18.83 Mn |
| Jun 30, 2022 | 2.63 Mn |
| Mar 31, 2022 | 927,000.00 |
| Dec 31, 2021 | 4.57 Mn |
| Sep 30, 2021 | -1.38 Mn |
MP Materials Change in Inventory 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=change-in-inventory&ticker=MP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=MP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();