Golden Star Resource (GLNS) EPS (Diluted) (2022 - 2025)
Golden Star Resource (GLNS) reported EPS (Diluted) of $0.00 for fiscal Q2 2026 (quarter ended Dec 31, 2025), compared with $0.00 a year earlier.
Golden Star Resource (GLNS) EPS (Diluted) (2022 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Golden Star Resource's EPS (Diluted) came in at -$0.01; for FY2025 (ended Jun 30, 2025), it was -$0.01.
- By fiscal year, EPS (Diluted) came in at -$0.01 in FY2024, -$0.01 in FY2023 and -$0.01 in FY2022.
- Five-year quarterly EPS (Diluted) spans a low of $0.00 in fiscal Q2 2025 and a high of $0.00 in fiscal Q2 2023.
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $0.00 (Q1 2026), $0.00 (Q4 2025) and $0.00 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.01 |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 2.06 |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 0.68 |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 3.18 |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 1.11 |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 5.06 |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 2.69 |
| 10 | Golden Star Resource | 5.66 Mn | 5.66 Mn | - | 0.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2023 | 0.00 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 0.00 |
Golden Star Resource EPS (Diluted) 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=eps-diluted&ticker=GLNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GLNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();