Golden Star Resource (GLNS) Total Non-Current Liabilities (2022 - 2024)
Golden Star Resource's Total Non-Current Liabilities came in at $446,906 for fiscal Q1 2025 (quarter ended Sep 30, 2024), up 2.9% from $434,240 a year earlier and up 0.6% from the prior quarter.
Golden Star Resource (GLNS) Total Non-Current Liabilities (2022 - 2024) Analysis & Trends
At the end of FY2024 (ended Jun 30, 2024), Golden Star Resource's Total Non-Current Liabilities was $444,308, up 2.4% from FY2023.
- Going back by fiscal year, Total Non-Current Liabilities was $434,096 in FY2023.
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters.
- Business Quant data shows GLNS's Total Non-Current Liabilities at $444,308 (Q4 2024), $439,239 (Q3 2024) and $437,931 (Q2 2024) in the three fiscal quarters before Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 145.61 Bn | 120.34 Bn | 3.10 Bn | 9.26 Bn |
| 3 | Rio Tinto | 138.54 Bn | 138.54 Bn | - | 46.26 Bn |
| 4 | Newmont | 127.15 Bn | 92.29 Bn | 4.22 Bn | 15.71 Bn |
| 5 | Ternium | 100.63 Bn | 93.91 Bn | - | 3.53 Bn |
| 6 | Agnico Eagle Mines | 97.48 Bn | 92.69 Bn | - | 9.48 Bn |
| 7 | Freeport-Mcmoran | 88.12 Bn | 72.16 Bn | 2.19 Bn | 26.27 Bn |
| 8 | Barrick Mining | 69.35 Bn | 47.84 Bn | 2.90 Bn | 23.61 Bn |
| 9 | Nucor | 59.10 Bn | 48.48 Bn | 2.03 Bn | 13.68 Bn |
| 10 | Golden Star Resource | 5.66 Mn | 5.66 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 446,906.00 |
| Jun 30, 2024 | 444,308.00 |
| Mar 31, 2024 | 439,239.00 |
| Dec 31, 2023 | 437,931.00 |
| Sep 30, 2023 | 434,240.00 |
| Jun 30, 2023 | 434,096.00 |
| Mar 31, 2023 | 403,372.00 |
| Jun 30, 2022 | 442,242.00 |
Golden Star Resource 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=GLNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GLNS", "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=GLNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();