MP Materials (MP) EV to EBITDA (2021 - 2023)
MP Materials' EV to EBITDA was 66.78 in Q4 2023, up 637.2% from 9.06 a year earlier and up 177.5% from the prior quarter.
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Analysis
MP Materials (MP) EV to EBITDA (2021 - 2023) Analysis & Trends
From Q2 2021 onward, MP Materials has reported EV to EBITDA for 11 quarters.
- In earlier years, EV to EBITDA was 9.06 in FY2022 (-75.1%) and 36.35 in FY2021.
- The Q4 2023 figure marks the highest quarterly EV to EBITDA in data going back to Q2 2021.
- Compared with a year earlier, EV to EBITDA has increased for three straight quarters, with growth averaging 76.1% over the last seven quarters.
- Per Business Quant data, MP's EV to EBITDA in the three quarters before Q4 2023 was 24.07 (Q3 2023), 16.49 (Q2 2023) and 14.40 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - |
| 10 | MP Materials | 8.27 Bn | 6.81 Bn | 36.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 66.78 |
| Sep 30, 2023 | 24.07 |
| Jun 30, 2023 | 16.49 |
| Mar 31, 2023 | 14.40 |
| Dec 31, 2022 | 9.06 |
| Sep 30, 2022 | 9.83 |
| Jun 30, 2022 | 12.87 |
| Mar 31, 2022 | 31.71 |
| Dec 31, 2021 | 36.35 |
| Sep 30, 2021 | 33.00 |
| Jun 30, 2021 | 56.27 |
API Access
MP Materials EV to EBITDA 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=ev-to-ebitda&ticker=MP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=MP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();