Graphene & Solar Technologies (GSTX) Operating Leases (2024 - 2026)
Graphene & Solar Technologies (GSTX) reported Operating Leases of $31,790 for fiscal Q2 2026 (quarter ended Mar 31, 2026), down 61.3% from $82,195 a year earlier and down 31.0% from the prior quarter.
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Analysis
Graphene & Solar Technologies (GSTX) Operating Leases (2024 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Graphene & Solar Technologies posted Operating Leases of $51,861, down 55.8% from FY2024.
- By fiscal year, Operating Leases came in at $117,277 in FY2024.
- Year over year, Operating Leases has now declined in each of the last three quarters.
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $46,056 (Q1 2026), $51,861 (Q4 2025) and $72,710 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.05 Bn | 141.84 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.45 Bn | 101.96 Bn | - |
| 4 | Newmont | 124.46 Bn | 92.46 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.06 Bn | 83.10 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.95 Bn | 83.58 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.53 Bn | 44.73 Bn | 2.90 Bn |
| 8 | Nucor | 60.66 Bn | 50.04 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.61 Bn | 27.63 Bn | - |
| 10 | Graphene & Solar Technologies | 81.77 Mn | 81.48 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 31,790.00 |
| Dec 31, 2025 | 46,056.00 |
| Sep 30, 2025 | 51,861.00 |
| Jun 30, 2025 | 72,710.00 |
| Mar 31, 2025 | 82,195.00 |
| Dec 31, 2024 | 93,424.00 |
| Sep 30, 2024 | 117,277.00 |
API Access
Graphene & Solar Technologies Operating Leases 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-leases&ticker=GSTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=GSTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();