Goldgroup Mining (GORO) Total Non-Current Liabilities (2010 - 2026)
Goldgroup Mining (GORO) reported Total Non-Current Liabilities of $137.31 million for Q1 2026, up 22.5% from $112.12 million a year earlier and up 5.7% from the prior quarter.
Goldgroup Mining (GORO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Goldgroup Mining posted Total Non-Current Liabilities of $129.85 million, up 12.7% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 110.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $115.2 million in FY2024 (+51.8%), $75.87 million in FY2023 (+3.0%), $73.65 million in FY2022 (+12.7%) and $65.35 million in FY2021.
- The Q1 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 17 quarters, with growth averaging 33.8% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 420.7%); the low point was Q3 2021 (a decline of 9.2%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $129.85 million (Q4 2025), $125.88 million (Q3 2025) and $124.02 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | -46.26 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 15.71 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 3.99 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 14.06 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 19.93 Bn |
| 10 | Goldgroup Mining | 542.32 Mn | 463.81 Mn | 19.05 Mn | 137.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 137.31 Mn |
| Dec 31, 2025 | 129.85 Mn |
| Sep 30, 2025 | 125.88 Mn |
| Jun 30, 2025 | 124.02 Mn |
| Mar 31, 2025 | 112.12 Mn |
| Dec 31, 2024 | 115.20 Mn |
| Sep 30, 2024 | 82.26 Mn |
| Jun 30, 2024 | 83.44 Mn |
| Mar 31, 2024 | 77.84 Mn |
| Dec 31, 2023 | 75.87 Mn |
| Sep 30, 2023 | 75.08 Mn |
| Jun 30, 2023 | 65.26 Mn |
| Mar 31, 2023 | 67.58 Mn |
| Dec 31, 2022 | 73.65 Mn |
| Sep 30, 2022 | 64.43 Mn |
| Jun 30, 2022 | 64.23 Mn |
| Mar 31, 2022 | 64.55 Mn |
| Dec 31, 2021 | 65.35 Mn |
| Sep 30, 2021 | 18.85 Mn |
| Jun 30, 2021 | 18.17 Mn |
Goldgroup Mining Total Non-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-non-current-liabilities&ticker=GORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GORO", "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-non-current-liabilities&ticker=GORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();