Fortuna Mining (FSM) EV to EBITDA (2011 - 2026)
Fortuna Mining's (FSM) EV to EBITDA came in at 2.87 for the quarter ended Jun 30, 2026, down 43.7% from 5.11 a year earlier and down 26.0% from the prior quarter.
Fortuna Mining (FSM) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Fortuna Mining was 0.53, down 81.8% year-over-year; for the year ended Dec 31, 2025, it came in at 3.81, up 35.9% from the prior year.
- In prior years, Fortuna Mining's EV to EBITDA was 2.80 in the year ended Dec 31, 2024 (-44.4%), 5.04 in the year ended Dec 31, 2023 (+53.1%), 3.29 in the year ended Dec 31, 2022 (+23.2%) and 2.67 in the year ended Dec 31, 2021 (-70.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly EV to EBITDA since the quarter ended Sep 30, 2021.
- On a year-over-year basis, EV to EBITDA increased in four of the last eight quarters, with an average decline of 4.4%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was the quarter ended Jun 30, 2023, with growth of 78.1%; the weakest was the quarter ended Dec 31, 2021, with a decline of 69.7%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 3.88 (quarter ended Mar 31, 2026), 5.05 (quarter ended Dec 31, 2025) and 5.67 (quarter ended Sep 30, 2025).
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 | Fortuna Mining | 3.43 Bn | 1.22 Bn | 183.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.87 |
| Mar 31, 2026 | 3.88 |
| Dec 31, 2025 | 5.05 |
| Sep 30, 2025 | 5.67 |
| Jun 30, 2025 | 5.11 |
| Mar 31, 2025 | 5.95 |
| Dec 31, 2024 | 4.35 |
| Sep 30, 2024 | 5.27 |
| Jun 30, 2024 | 5.75 |
| Mar 31, 2024 | 4.80 |
| Dec 31, 2023 | 5.50 |
| Sep 30, 2023 | 4.11 |
| Jun 30, 2023 | 6.21 |
| Mar 31, 2023 | 7.43 |
| Dec 31, 2022 | 6.54 |
| Sep 30, 2022 | 3.44 |
| Jun 30, 2022 | 3.49 |
| Mar 31, 2022 | 4.44 |
| Dec 31, 2021 | 4.43 |
| Sep 30, 2021 | 2.78 |
Fortuna Mining 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=FSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "FSM", "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=FSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();