Mag Magna (MGNC) EBITDA (2023 - 2026)
Mag Magna's EBITDA came in at -$116,548 for fiscal Q3 2026 (quarter ended Jan 31, 2026), compared with -$133.00 a year earlier.
Mag Magna (MGNC) EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jan 31, 2026, Mag Magna reported EBITDA of -$227,526; for FY2025 (ended Apr 30, 2025), it came in at -$31,585.
- Going back by fiscal year, EBITDA was -$46,841 in FY2024 and -$16,737 in FY2023.
- The fiscal Q3 2026 figure represents the lowest quarterly EBITDA in data going back to fiscal Q1 2024.
- Business Quant data shows MGNC's EBITDA at -$14,576 (Q2 2026), -$83,137 (Q1 2026) and -$13,265 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.08 Bn | 141.86 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 141.89 Bn | 102.39 Bn | - | - |
| 4 | Newmont | 124.21 Bn | 92.21 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 97.88 Bn | 81.92 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 94.00 Bn | 83.63 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.43 Bn | 44.63 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 60.18 Bn | 49.57 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.44 Bn | 27.47 Bn | - | 1.84 Bn |
| 10 | Mag Magna | 4.32 Mn | 4.14 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -116,548.00 |
| Oct 31, 2025 | -14,576.00 |
| Jul 31, 2025 | -83,137.00 |
| Apr 30, 2025 | -13,265.00 |
| Jan 31, 2025 | -133.00 |
| Oct 31, 2024 | -6,494.00 |
| Jul 31, 2024 | -11,693.00 |
| Apr 30, 2024 | -34,662.00 |
| Jan 31, 2024 | -651.00 |
| Oct 31, 2023 | -4,888.00 |
| Jul 31, 2023 | -6,640.00 |
Mag Magna 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=ebitda&ticker=MGNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MGNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=MGNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();