Graphene & Solar Technologies (GSTX) Operating Expenses (2010 - 2026)
Graphene & Solar Technologies' Operating Expenses was $931,157 in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 52.3% from $611,291 a year earlier and up 22.5% from the prior quarter.
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Analysis
Graphene & Solar Technologies (GSTX) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Graphene & Solar Technologies' Operating Expenses was $3.18 million through Mar 31, 2026, down 6.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $3.07 million, up 19.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $2.56 million in FY2024 (+122.4%), $1.15 million in FY2023 (-92.3%), $15.02 million in FY2022 (-56.7%) and $34.68 million in FY2021.
- The fiscal Q2 2026 figure marks the highest quarterly Operating Expenses since fiscal Q1 2025.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 84.0%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2024 (growth of 270.2%); the worst was fiscal Q1 2023 (a decline of 98.6%).
- Per Business Quant data, GSTX's Operating Expenses in the three fiscal quarters before Q2 2026 was $759,871 (Q1 2026), $684,295 (Q4 2025) and $803,874 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | -780.00 Mn |
| 10 | Graphene & Solar Technologies | 77.23 Mn | 76.94 Mn | - | 931,157.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 931,157.00 |
| Dec 31, 2025 | 759,871.00 |
| Sep 30, 2025 | 684,295.00 |
| Jun 30, 2025 | 803,874.00 |
| Mar 31, 2025 | 611,291.00 |
| Dec 31, 2024 | 965,764.00 |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 304,825.00 |
| Mar 31, 2024 | 337,635.00 |
| Dec 31, 2023 | 316,962.00 |
| Sep 30, 2023 | 410,427.00 |
| Jun 30, 2023 | 398,254.00 |
| Mar 31, 2023 | 165,100.00 |
| Dec 31, 2022 | 177,645.00 |
| Sep 30, 2022 | 1.30 Mn |
| Jun 30, 2022 | 445,018.00 |
| Mar 31, 2022 | 442,064.00 |
| Dec 31, 2021 | 12.83 Mn |
| Sep 30, 2021 | 29.81 Mn |
| Jun 30, 2021 | 660,664.00 |
API Access
Graphene & Solar Technologies Operating Expenses 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=operating-expenses&ticker=GSTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GSTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();