Ssr Mining (SSRM) Capital Expenditures (2021 - 2026)
Ssr Mining's Capital Expenditures came in at $32.54 million for Q2 2026, up 6.0% from $30.7 million a year earlier but down 63.4% from the prior quarter.
Ssr Mining (SSRM) Capital Expenditures (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ssr Mining reported Capital Expenditures of $276.06 million, up 88.0% year-over-year; for FY2025, it came in at $230.2 million, up 60.4% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $143.53 million in FY2024 (-35.8%), $223.42 million in FY2023 (+62.5%), $137.52 million in FY2022 (-16.6%) and $164.81 million in FY2021 (+18.6%).
- The five-year range for quarterly Capital Expenditures is $17 million (Q2 2022) to $89.01 million (Q3 2025).
- Year-over-year, Capital Expenditures has increased for four consecutive quarters, with growth averaging 36.6% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q2 2023 (growth of 240.8%), and the weakest in Q2 2022 (a decline of 54.7%).
- Business Quant data shows SSRM's Capital Expenditures at $88.83 million (Q1 2026), $65.69 million (Q4 2025) and $89.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 162.33 Bn | 141.12 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Rio Tinto | 142.44 Bn | 102.95 Bn | - | - |
| 4 | Newmont | 124.37 Bn | 92.37 Bn | 4.03 Bn | 719.00 Mn |
| 5 | Freeport-Mcmoran | 98.11 Bn | 82.16 Bn | 2.19 Bn | 1.10 Bn |
| 6 | Agnico Eagle Mines | 93.99 Bn | 83.62 Bn | 2.43 Bn | -809.26 Mn |
| 7 | Barrick Mining | 69.45 Bn | 44.65 Bn | 2.90 Bn | 1.19 Bn |
| 8 | Nucor | 59.86 Bn | 49.24 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 48.52 Bn | 27.54 Bn | - | -1.10 Bn |
| 10 | Ssr Mining | 6.55 Bn | 3.04 Bn | 270.13 Mn | 32.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.54 Mn |
| Mar 31, 2026 | 88.83 Mn |
| Dec 31, 2025 | 65.69 Mn |
| Sep 30, 2025 | 89.01 Mn |
| Jun 30, 2025 | 30.70 Mn |
| Mar 31, 2025 | 44.81 Mn |
| Dec 31, 2024 | 38.57 Mn |
| Sep 30, 2024 | 32.75 Mn |
| Jun 30, 2024 | 38.18 Mn |
| Mar 31, 2024 | 34.04 Mn |
| Dec 31, 2023 | 58.79 Mn |
| Sep 30, 2023 | 47.46 Mn |
| Jun 30, 2023 | 57.94 Mn |
| Mar 31, 2023 | 59.24 Mn |
| Dec 31, 2022 | 46.20 Mn |
| Sep 30, 2022 | 39.83 Mn |
| Jun 30, 2022 | 17.00 Mn |
| Mar 31, 2022 | 34.49 Mn |
| Dec 31, 2021 | 35.89 Mn |
| Sep 30, 2021 | 35.68 Mn |
Ssr Mining Capital Expenditures 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=capital-expenditures&ticker=SSRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "SSRM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=SSRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();