Gentor Resources (GNTOF) Change in Accured Expenses (2011 - 2026)
Gentor Resources' Change in Accured Expenses was -$7.28 billion in Q1 2026, compared with $736 million a year earlier.
Analysis
Gentor Resources (GNTOF) Change in Accured Expenses (2011 - 2026) Analysis & Trends
For FY2025, Change in Accured Expenses at Gentor Resources came in at -$80,332.
- In earlier years, Change in Accured Expenses was $45,193 in FY2024 (+29.5%), $34,905 in FY2023, -$9.77 billion in FY2022 and -$69,771 in FY2021.
- The Q1 2026 figure marks the lowest quarterly Change in Accured Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 107.70 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | -166.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 309.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | -106.54 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | - |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 298.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Gentor Resources | 778,134.82 | 778,134.82 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -7.28 Bn |
| Dec 31, 2025 | -735.99 Mn |
| Sep 30, 2025 | 12,499.00 |
| Mar 31, 2025 | 736.00 Mn |
| Dec 31, 2024 | 25,945.00 |
| Sep 30, 2024 | 12,500.00 |
| Jun 30, 2024 | 12,500.00 |
| Mar 31, 2024 | -5.75 Bn |
| Dec 31, 2023 | -7.44 Bn |
| Sep 30, 2023 | 12,500.00 |
| Jun 30, 2023 | 4.17 Bn |
| Mar 31, 2023 | 9.23 Bn |
| Jun 30, 2021 | -22,055.00 |
| Mar 31, 2021 | -70,000.00 |
| Jun 30, 2020 | 6.27 Bn |
| Mar 31, 2020 | 21,329.00 |
| Jun 30, 2019 | -22,500.00 |
| Mar 31, 2019 | 22,500.00 |
| Dec 31, 2018 | -10,319.00 |
| Jun 30, 2018 | 31,142.00 |
API Access
Gentor Resources Change in Accured 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=change-in-accured-expenses&ticker=GNTOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GNTOF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=GNTOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();