Rise Gold (RYES) EPS (Diluted) (2021 - 2026)
Rise Gold's EPS (Diluted) came in at -$0.01 for fiscal Q3 2026 (quarter ended Apr 30, 2026), compared with -$0.01 a year earlier.
Rise Gold (RYES) EPS (Diluted) (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Apr 30, 2026, Rise Gold reported EPS (Diluted) of -$0.03; for FY2025 (ended Jul 31, 2025), it was -$0.04.
- Going back by fiscal year, EPS (Diluted) was -$0.08 in FY2024, -$0.11 in FY2023, -$0.12 in FY2022 and -$0.13 in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly EPS (Diluted) in data going back to fiscal Q4 2021.
- Business Quant data shows RYES's EPS (Diluted) at -$0.01 (Q2 2026), -$0.01 (Q1 2026) and -$0.01 (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | Rise Gold | 15.31 Mn | -12.88 Mn | - | -0.01 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -0.01 |
| Jan 31, 2026 | -0.01 |
| Oct 31, 2025 | -0.01 |
| Jul 31, 2025 | -0.01 |
| Apr 30, 2025 | -0.01 |
| Jan 31, 2025 | -0.01 |
| Oct 31, 2024 | -0.01 |
| Jul 31, 2024 | -0.01 |
| Apr 30, 2024 | -0.02 |
| Jan 31, 2024 | -0.02 |
| Oct 31, 2023 | -0.03 |
| Jul 31, 2023 | -0.02 |
| Apr 30, 2023 | -0.04 |
| Jan 31, 2023 | -0.02 |
| Oct 31, 2022 | -0.02 |
| Jul 31, 2022 | -0.04 |
| Apr 30, 2022 | -0.03 |
| Jan 31, 2022 | -0.03 |
| Oct 31, 2021 | -0.02 |
| Jul 31, 2021 | -0.03 |
Rise Gold 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=RYES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "RYES", "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=RYES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();