Intrepid Potash (IPI) Total Current Liabilities (2009 - 2026)
Intrepid Potash's Total Current Liabilities was $49.45 million in Q2 2026, up 23.4% from $40.08 million a year earlier but down 14.4% from the prior quarter.
Intrepid Potash (IPI) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Intrepid Potash came in at $55.77 million, up 46.8% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $38 million in FY2024 (-18.4%), $46.56 million in FY2023 (-4.7%), $48.88 million in FY2022 (-33.4%) and $73.42 million in FY2021 (+9.2%).
- Quarterly Total Current Liabilities has moved between $33.44 million (Q2 2024) and $75.09 million (Q3 2021) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 16.3% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2026 (growth of 50.1%); the worst was Q2 2023 (a decline of 39.3%).
- Per Business Quant data, IPI's Total Current Liabilities in the three quarters before Q2 2026 was $57.77 million (Q1 2026), $55.77 million (Q4 2025) and $42.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 16.13 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 6.02 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 9.63 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 4.58 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 10.79 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.11 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 1.44 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 1.41 Bn |
| 10 | Intrepid Potash | 423.82 Mn | -21.18 Mn | 16.65 Mn | 49.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.45 Mn |
| Mar 31, 2026 | 57.77 Mn |
| Dec 31, 2025 | 55.77 Mn |
| Sep 30, 2025 | 42.24 Mn |
| Jun 30, 2025 | 40.08 Mn |
| Mar 31, 2025 | 38.50 Mn |
| Dec 31, 2024 | 38.00 Mn |
| Sep 30, 2024 | 43.19 Mn |
| Jun 30, 2024 | 33.44 Mn |
| Mar 31, 2024 | 39.45 Mn |
| Dec 31, 2023 | 46.56 Mn |
| Sep 30, 2023 | 38.20 Mn |
| Jun 30, 2023 | 38.22 Mn |
| Mar 31, 2023 | 44.25 Mn |
| Dec 31, 2022 | 48.88 Mn |
| Sep 30, 2022 | 49.11 Mn |
| Jun 30, 2022 | 63.01 Mn |
| Mar 31, 2022 | 71.80 Mn |
| Dec 31, 2021 | 73.42 Mn |
| Sep 30, 2021 | 75.09 Mn |
Intrepid Potash Total 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-current-liabilities&ticker=IPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=IPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();