MP Materials (MP) Total Current Liabilities (2019 - 2026)
MP Materials' Total Current Liabilities was $183.54 million in Q2 2026, down 31.2% from $266.87 million a year earlier and down 35.7% from the prior quarter.
MP Materials (MP) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at MP Materials came in at $299.05 million, up 82.3% from FY2024.
- Total Current Liabilities has now increased for six consecutive years, with a five-year compound annual growth rate of 47.3% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $164.02 million in FY2024 (+51.1%), $108.55 million in FY2023 (+11.4%), $97.48 million in FY2022 (+63.7%) and $59.54 million in FY2021 (+38.3%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q4 2024.
- Compared with a year earlier, Total Current Liabilities was higher in seven of the last eight quarters, with growth averaging 56.5%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2025 (growth of 130.8%); the worst was Q2 2026 (a decline of 31.2%).
- Per Business Quant data, MP's Total Current Liabilities in the three quarters before Q2 2026 was $285.25 million (Q1 2026), $299.05 million (Q4 2025) and $270.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | -15.54 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.13 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 5.23 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 6.86 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 1.93 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 4.67 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 5.25 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 22.40 Bn |
| 10 | MP Materials | 8.27 Bn | 6.81 Bn | 36.20 Mn | 183.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183.54 Mn |
| Mar 31, 2026 | 285.25 Mn |
| Dec 31, 2025 | 299.05 Mn |
| Sep 30, 2025 | 270.18 Mn |
| Jun 30, 2025 | 266.87 Mn |
| Mar 31, 2025 | 248.21 Mn |
| Dec 31, 2024 | 164.02 Mn |
| Sep 30, 2024 | 146.79 Mn |
| Jun 30, 2024 | 158.08 Mn |
| Mar 31, 2024 | 107.55 Mn |
| Dec 31, 2023 | 108.55 Mn |
| Sep 30, 2023 | 97.01 Mn |
| Jun 30, 2023 | 75.77 Mn |
| Mar 31, 2023 | 93.87 Mn |
| Dec 31, 2022 | 97.48 Mn |
| Sep 30, 2022 | 74.75 Mn |
| Jun 30, 2022 | 66.15 Mn |
| Mar 31, 2022 | 51.58 Mn |
| Dec 31, 2021 | 59.54 Mn |
| Sep 30, 2021 | 70.77 Mn |
MP Materials Total Current Liabilities 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=total-current-liabilities&ticker=MP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=MP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();