Iperionx (IPX) Total Liabilities (2021 - 2026)
Iperionx's Total Liabilities came in at $17.45 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 38.6% from $12.59 million a year earlier.
Analysis
Iperionx (IPX) Total Liabilities (2021 - 2026) Analysis & Trends
Going back to fiscal Q4 2021, Iperionx's Total Liabilities data covers 9 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 76.1% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $12.59 million in FY2025 (+207.4%), $4.1 million in FY2024, $3.87 million in FY2023 (+47.6%) and $2.62 million in FY2022.
- The five-year range for quarterly Total Liabilities is -$12.26 million (fiscal Q2 2022) to $20.95 million (fiscal Q2 2026).
Peer Set
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 | 170.48 Bn | 149.26 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 144.02 Bn | 104.53 Bn | - | 61.08 Bn |
| 4 | Newmont | 126.21 Bn | 94.22 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 100.07 Bn | 84.11 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 94.90 Bn | 84.53 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.74 Bn | 44.94 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.85 Bn | 49.23 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.50 Bn | 27.53 Bn | - | 44.33 Bn |
| 10 | Iperionx | 476.08 Mn | 243.07 Mn | - | 17.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.45 Mn |
| Dec 31, 2025 | 20.95 Mn |
| Jun 30, 2025 | 12.59 Mn |
| Dec 31, 2024 | 10.29 Mn |
| Jun 30, 2024 | 4.10 Mn |
| Dec 31, 2023 | 3.87 Mn |
| Jun 30, 2023 | 2.24 Mn |
| Dec 31, 2022 | 2.62 Mn |
| Jun 30, 2022 | 2.49 Mn |
| Dec 31, 2021 | -12.26 Mn |
| Jun 30, 2021 | 1.03 Mn |
API Access
Iperionx 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=IPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IPX", "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=IPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();