Intrepid Potash (IPI) Change in Inventory (2009 - 2026)
Intrepid Potash (IPI) posted Change in Inventory of $8.96 million for Q2 2026, up 75.1% from $5.12 million a year earlier.
Intrepid Potash (IPI) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Intrepid Potash was $8.45 million, down 3.4% year-over-year; for FY2025, it came in at $3.93 million, down 63.7% from FY2024.
- Annual Change in Inventory has declined for three consecutive years, though with a five-year compound annual growth rate of 68.3% (FY2020 to FY2025).
- In prior years, Intrepid Potash's Change in Inventory was $10.83 million in FY2024 (-8.7%), $11.86 million in FY2023 (-64.4%), $33.28 million in FY2022 and -$7.36 million in FY2021.
- Quarterly Change in Inventory has run from a low of -$16.53 million in Q1 2025 to a high of $17.33 million in Q4 2022 over five years.
- On a year-over-year basis, Change in Inventory increased in four of the last six quarters, with growth averaging 42.9%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q3 2022, with growth of 531.6%; the weakest was Q3 2021, with a decline of 63.7%.
- According to Business Quant data, Change in Inventory for the three prior quarters was -$15.86 million (Q1 2026), $4.9 million (Q4 2025) and $10.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 41.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 145.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | -14.90 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | -788.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 425.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | - |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 87.00 Mn |
| 10 | Intrepid Potash | 423.82 Mn | -21.18 Mn | 16.65 Mn | 8.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.96 Mn |
| Mar 31, 2026 | -15.86 Mn |
| Dec 31, 2025 | 4.90 Mn |
| Sep 30, 2025 | 10.45 Mn |
| Jun 30, 2025 | 5.12 Mn |
| Mar 31, 2025 | -16.53 Mn |
| Dec 31, 2024 | 10.39 Mn |
| Sep 30, 2024 | 9.77 Mn |
| Jun 30, 2024 | 1.51 Mn |
| Mar 31, 2024 | -10.84 Mn |
| Dec 31, 2023 | 14.24 Mn |
| Sep 30, 2023 | 8.38 Mn |
| Jun 30, 2023 | -3.12 Mn |
| Mar 31, 2023 | -7.65 Mn |
| Dec 31, 2022 | 17.33 Mn |
| Sep 30, 2022 | 13.20 Mn |
| Jun 30, 2022 | 3.61 Mn |
| Mar 31, 2022 | -847,000.00 |
| Dec 31, 2021 | 4.32 Mn |
| Sep 30, 2021 | 2.09 Mn |
Intrepid Potash Change in Inventory 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-inventory&ticker=IPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=IPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();