Goldgroup Mining (GORO) Total Liabilities (2010 - 2026)
Goldgroup Mining (GORO) recorded Total Liabilities of $147.61 million in Q1 2026, up 19.9% from $123.07 million a year earlier and up 5.4% from the prior quarter.
Goldgroup Mining (GORO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Goldgroup Mining reported Total Liabilities of $140.03 million, up 18.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 55.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $118.59 million in FY2024 (+14.5%), $103.55 million in FY2023 (-2.7%), $106.47 million in FY2022 (+12.1%) and $95.01 million in FY2021 (+525.2%).
- The Q1 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for nine consecutive quarters, with growth averaging 15.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 525.2% in Q4 2021, against a decline of 20.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $140.03 million (Q4 2025), $138.38 million (Q3 2025) and $135.98 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 22.23 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 | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 42.33 Bn |
| 10 | Goldgroup Mining | 542.32 Mn | 463.81 Mn | 19.05 Mn | 147.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 147.61 Mn |
| Dec 31, 2025 | 140.03 Mn |
| Sep 30, 2025 | 138.38 Mn |
| Jun 30, 2025 | 135.98 Mn |
| Mar 31, 2025 | 123.07 Mn |
| Dec 31, 2024 | 118.59 Mn |
| Sep 30, 2024 | 116.59 Mn |
| Jun 30, 2024 | 111.72 Mn |
| Mar 31, 2024 | 107.95 Mn |
| Dec 31, 2023 | 103.55 Mn |
| Sep 30, 2023 | 103.85 Mn |
| Jun 30, 2023 | 106.14 Mn |
| Mar 31, 2023 | 101.16 Mn |
| Dec 31, 2022 | 106.47 Mn |
| Sep 30, 2022 | 83.89 Mn |
| Jun 30, 2022 | 87.60 Mn |
| Mar 31, 2022 | 92.87 Mn |
| Dec 31, 2021 | 95.01 Mn |
| Sep 30, 2021 | 21.97 Mn |
| Jun 30, 2021 | 21.35 Mn |
Goldgroup Mining Total 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-liabilities&ticker=GORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();