GoldMining (GLDG) EPS (Diluted) (2019 - 2026)
GoldMining (GLDG) reported EPS (Diluted) of -$0.05 for fiscal Q3 2026 (quarter ended Aug 31, 2026), compared with $0.00 a year earlier.
GoldMining (GLDG) EPS (Diluted) (2019 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, GoldMining's EPS (Diluted) came in at -$0.14; for FY2025 (ended Nov 30, 2025), it came in at -$0.06.
- By fiscal year, EPS (Diluted) came in at -$0.11 in FY2024, -$0.12 in FY2023, -$0.07 in FY2022 and $0.52 in FY2021.
- The fiscal Q3 2026 figure ranks as the lowest quarterly EPS (Diluted) in data going back to fiscal Q4 2019.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -$0.04 (Q2 2026), -$0.03 (Q1 2026) and -$0.03 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 151.38 Bn | 130.17 Bn | 2.90 Bn | 2.01 |
| 3 | Rio Tinto | 135.17 Bn | 95.67 Bn | - | - |
| 4 | Newmont | 115.47 Bn | 80.61 Bn | 4.22 Bn | 2.35 |
| 5 | Freeport-Mcmoran | 93.51 Bn | 77.55 Bn | 2.19 Bn | 0.68 |
| 6 | Agnico Eagle Mines | 87.07 Bn | 76.70 Bn | 2.43 Bn | 3.18 |
| 7 | Barrick Mining | 65.15 Bn | 40.35 Bn | 2.90 Bn | 0.71 |
| 8 | Nucor | 60.22 Bn | 49.60 Bn | 2.03 Bn | 5.06 |
| 9 | ArcelorMittal | 45.40 Bn | 24.42 Bn | - | 0.89 |
| 10 | GoldMining | 148.10 Mn | -2.08 Mn | - | -0.05 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -0.05 |
| May 31, 2026 | -0.04 |
| Feb 28, 2026 | -0.03 |
| Nov 30, 2025 | -0.03 |
| Aug 31, 2025 | 0.00 |
| May 31, 2025 | -0.01 |
| Feb 28, 2025 | -0.02 |
| Nov 30, 2024 | -0.04 |
| Aug 31, 2024 | -0.04 |
| May 31, 2024 | -0.02 |
| Feb 29, 2024 | -0.01 |
| Nov 30, 2023 | -0.03 |
| Aug 31, 2023 | -0.04 |
| May 31, 2023 | -0.03 |
| Feb 28, 2023 | -0.03 |
| Nov 30, 2022 | -0.02 |
| Aug 31, 2022 | -0.01 |
| May 31, 2022 | -0.01 |
| Feb 28, 2022 | -0.02 |
| Nov 30, 2021 | 0.03 |
GoldMining 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=GLDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "GLDG", "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=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();