Graphene & Solar Technologies (GSTX) EPS (Diluted) (2011 - 2026)
Graphene & Solar Technologies (GSTX) recorded EPS (Diluted) of $0.00 in fiscal Q2 2026 (quarter ended Mar 31, 2026), compared with $0.00 a year earlier.
Graphene & Solar Technologies (GSTX) EPS (Diluted) (2011 - 2026) Analysis & Trends
Starting with fiscal Q1 2012, Graphene & Solar Technologies' EPS (Diluted) history includes 52 quarters.
- Across earlier fiscal years, EPS (Diluted) came in at -$0.01 in FY2024, $0.00 in FY2023, -$1.64 in FY2022 and -$2.74 in FY2021.
- The fiscal Q2 2026 figure is the highest quarterly EPS (Diluted) since fiscal Q3 2022.
- Per Business Quant, the preceding three fiscal quarters 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 | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 164.24 Bn | 143.03 Bn | 2.90 Bn | 2.01 |
| 3 | Rio Tinto | 141.58 Bn | 102.09 Bn | - | - |
| 4 | Newmont | 124.17 Bn | 92.18 Bn | 4.03 Bn | 2.06 |
| 5 | Freeport-Mcmoran | 98.56 Bn | 82.60 Bn | 2.19 Bn | 0.68 |
| 6 | Agnico Eagle Mines | 93.87 Bn | 83.50 Bn | 2.43 Bn | 3.18 |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 0.71 |
| 8 | Nucor | 59.81 Bn | 49.19 Bn | 2.03 Bn | 5.06 |
| 9 | ArcelorMittal | 48.19 Bn | 27.21 Bn | - | 0.89 |
| 10 | Graphene & Solar Technologies | 81.77 Mn | 81.48 Mn | - | 0.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.00 |
| 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 | -0.02 |
| Dec 31, 2022 | -0.01 |
| Sep 30, 2022 | -2.73 |
| Jun 30, 2022 | 0.03 |
| Mar 31, 2022 | 0.03 |
| Dec 31, 2021 | 1.01 |
| Sep 30, 2021 | -2.35 |
| Jun 30, 2021 | -0.06 |
Graphene & Solar Technologies 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=GSTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "GSTX", "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=GSTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();