Ssr Mining (SSRM) Total Current Liabilities (2016 - 2026)
Ssr Mining (SSRM) posted Total Current Liabilities of $252.24 million for Q2 2026, down 47.5% from $480.83 million a year earlier and down 63.4% from the prior quarter.
Ssr Mining (SSRM) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Ssr Mining's Total Current Liabilities came in at $618.36 million, up 182.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In prior years, Ssr Mining's Total Current Liabilities was $218.88 million in FY2024 (+28.3%), $170.57 million in FY2023 (-38.9%), $279.25 million in FY2022 (-1.6%) and $283.88 million in FY2021 (+13.9%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 64.8%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2025, with growth of 182.5%; the weakest was Q2 2026, with a decline of 47.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $688.67 million (Q1 2026), $618.36 million (Q4 2025) and $501.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | -15.54 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.13 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 5.23 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 6.86 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 1.93 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 4.67 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 5.25 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 22.40 Bn |
| 10 | Ssr Mining | 6.98 Bn | 3.47 Bn | 270.13 Mn | 252.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 252.24 Mn |
| Mar 31, 2026 | 688.67 Mn |
| Dec 31, 2025 | 618.36 Mn |
| Sep 30, 2025 | 501.01 Mn |
| Jun 30, 2025 | 480.83 Mn |
| Mar 31, 2025 | 259.60 Mn |
| Dec 31, 2024 | 218.88 Mn |
| Sep 30, 2024 | 254.90 Mn |
| Jun 30, 2024 | 288.55 Mn |
| Mar 31, 2024 | 352.77 Mn |
| Dec 31, 2023 | 170.57 Mn |
| Sep 30, 2023 | 166.15 Mn |
| Jun 30, 2023 | 203.68 Mn |
| Mar 31, 2023 | 250.96 Mn |
| Dec 31, 2022 | 279.25 Mn |
| Sep 30, 2022 | 247.08 Mn |
| Jun 30, 2022 | 226.43 Mn |
| Mar 31, 2022 | 278.50 Mn |
| Dec 31, 2021 | 283.88 Mn |
| Dec 31, 2020 | 249.30 Mn |
Ssr Mining Total Current Liabilities 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=total-current-liabilities&ticker=SSRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SSRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();