Aris Mining (ARIS) EBITDA (2022 - 2026)
Aris Mining (ARIS) posted EBITDA of $184.38 million for the quarter ended Jun 30, 2026, up 77.8% from $103.68 million a year earlier but down 16.1% from the prior quarter.
Aris Mining (ARIS) EBITDA (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Aris Mining was $716.93 million, up 153.0% year-over-year; for the year ended Dec 31, 2025, it was $486.87 million, up 168.5% from the prior year.
- Annual EBITDA shows a three-year compound annual growth rate of 36.2% (years ended Dec 2022 to Dec 2025).
- In prior years, Aris Mining's EBITDA was $181.34 million in the year ended Dec 31, 2024 (+4.6%), $173.39 million in the year ended Dec 31, 2023 (-10.0%) and $192.66 million in the year ended Dec 31, 2022.
- Quarterly EBITDA has run from a low of $25.51 million in the quarter ended Mar 31, 2023 to a high of $219.88 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last ten quarters, with growth averaging 125.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was the quarter ended Mar 31, 2026, with growth of 211.8%; the weakest was the quarter ended Sep 30, 2023, with a decline of 5.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $219.88 million (quarter ended Mar 31, 2026), $175.57 million (quarter ended Dec 31, 2025) and $137.1 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 1.84 Bn |
| 10 | Aris Mining | 3.22 Bn | 1.38 Bn | 193.46 Mn | 184.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.38 Mn |
| Mar 31, 2026 | 219.88 Mn |
| Dec 31, 2025 | 175.57 Mn |
| Sep 30, 2025 | 137.10 Mn |
| Jun 30, 2025 | 103.68 Mn |
| Mar 31, 2025 | 70.51 Mn |
| Dec 31, 2024 | 62.82 Mn |
| Sep 30, 2024 | 47.21 Mn |
| Jun 30, 2024 | 38.23 Mn |
| Mar 31, 2024 | 30.48 Mn |
| Dec 31, 2023 | 13.88 Mn |
| Sep 30, 2023 | 45.98 Mn |
| Jun 30, 2023 | 26.05 Mn |
| Mar 31, 2023 | 25.51 Mn |
| Dec 31, 2022 | -52.14 Mn |
| Sep 30, 2022 | 47.27 Mn |
Aris Mining 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=ARIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ARIS", "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=ARIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();