Intrepid Potash (IPI) Total Non-Current Liabilities (2009 - 2026)
Intrepid Potash's Total Non-Current Liabilities was $94.8 million in Q2 2026, up 6.0% from $89.43 million a year earlier but down 8.9% from the prior quarter.
Intrepid Potash (IPI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Intrepid Potash came in at $102.3 million, up 16.9% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, though with a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $87.54 million in FY2024 (+62.8%), $53.78 million in FY2023 (+2.9%), $52.26 million in FY2022 (-31.7%) and $76.47 million in FY2021 (-33.5%).
- Quarterly Total Non-Current Liabilities has moved between $42.23 million (Q2 2023) and $104.12 million (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 27.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2024 (growth of 112.8%); the worst was Q1 2022 (a decline of 40.7%).
- Per Business Quant data, IPI's Total Non-Current Liabilities in the three quarters before Q2 2026 was $104.12 million (Q1 2026), $102.3 million (Q4 2025) and $90.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Intrepid Potash | 423.82 Mn | -21.18 Mn | 16.65 Mn | 94.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.80 Mn |
| Mar 31, 2026 | 104.12 Mn |
| Dec 31, 2025 | 102.30 Mn |
| Sep 30, 2025 | 90.88 Mn |
| Jun 30, 2025 | 89.43 Mn |
| Mar 31, 2025 | 88.58 Mn |
| Dec 31, 2024 | 87.54 Mn |
| Sep 30, 2024 | 93.40 Mn |
| Jun 30, 2024 | 83.14 Mn |
| Mar 31, 2024 | 89.63 Mn |
| Dec 31, 2023 | 53.78 Mn |
| Sep 30, 2023 | 43.90 Mn |
| Jun 30, 2023 | 42.23 Mn |
| Mar 31, 2023 | 53.30 Mn |
| Dec 31, 2022 | 52.26 Mn |
| Sep 30, 2022 | 51.21 Mn |
| Jun 30, 2022 | 66.18 Mn |
| Mar 31, 2022 | 75.03 Mn |
| Dec 31, 2021 | 76.47 Mn |
| Sep 30, 2021 | 77.38 Mn |
Intrepid Potash Total Non-Current 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-non-current-liabilities&ticker=IPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IPI", "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-non-current-liabilities&ticker=IPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();