Graphene & Solar Technologies (GSTX) Total Liabilities (2010 - 2026)
Graphene & Solar Technologies' Total Liabilities was $5.03 million in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 15.3% from $4.36 million a year earlier and up 3.8% from the prior quarter.
Graphene & Solar Technologies (GSTX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Liabilities at Graphene & Solar Technologies came in at $4.87 million, up 54.9% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 23.7% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $3.14 million in FY2024 (-37.1%), $5 million in FY2023 (+23.0%), $4.06 million in FY2022 (+14.7%) and $3.54 million in FY2021 (+110.1%).
- The fiscal Q2 2026 figure marks the highest quarterly Total Liabilities since fiscal Q2 2024.
- Compared with a year earlier, Total Liabilities has increased for four straight quarters, with growth averaging 8.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2021 (growth of 110.1%); the worst was fiscal Q3 2024 (a decline of 50.3%).
- Per Business Quant data, GSTX's Total Liabilities in the three fiscal quarters before Q2 2026 was $4.84 million (Q1 2026), $4.87 million (Q4 2025) and $4.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 44.33 Bn |
| 10 | Graphene & Solar Technologies | 81.77 Mn | 81.48 Mn | - | 5.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.03 Mn |
| Dec 31, 2025 | 4.84 Mn |
| Sep 30, 2025 | 4.87 Mn |
| Jun 30, 2025 | 4.93 Mn |
| Mar 31, 2025 | 4.36 Mn |
| Dec 31, 2024 | 3.80 Mn |
| Sep 30, 2024 | 3.14 Mn |
| Jun 30, 2024 | 2.37 Mn |
| Mar 31, 2024 | 5.64 Mn |
| Dec 31, 2023 | 5.43 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | 4.78 Mn |
| Mar 31, 2023 | 4.44 Mn |
| Dec 31, 2022 | 4.32 Mn |
| Sep 30, 2022 | 4.06 Mn |
| Jun 30, 2022 | 4.03 Mn |
| Mar 31, 2022 | 3.97 Mn |
| Dec 31, 2021 | 3.73 Mn |
| Sep 30, 2021 | 3.54 Mn |
| Jun 30, 2021 | 2.08 Mn |
Graphene & Solar Technologies Total Liabilities 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=total-liabilities&ticker=GSTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GSTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();