Intrepid Potash (IPI) Price to Earnings (2010 - 2026)
Intrepid Potash's (IPI) Price to Earnings stood at 16.45 in Q2 2026, down 59.2% from the prior quarter.
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Analysis
Intrepid Potash (IPI) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Intrepid Potash's Price to Earnings came in at 32.56.
- Across earlier years, Price to Earnings came in at 5.07 in FY2022 (+125.5%) and 2.25 in FY2021.
- The Q2 2026 figure is the lowest quarterly Price to Earnings since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn |
| 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 |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn |
| 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 |
| 10 | Intrepid Potash | 423.82 Mn | -21.18 Mn | 16.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.45 |
| Mar 31, 2026 | 40.29 |
| Dec 31, 2025 | 32.56 |
| Sep 30, 2023 | 57.49 |
| Jun 30, 2023 | 11.20 |
| Mar 31, 2023 | 7.77 |
| Dec 31, 2022 | 5.07 |
| Sep 30, 2022 | 1.79 |
| Jun 30, 2022 | 2.12 |
| Mar 31, 2022 | 3.89 |
| Dec 31, 2021 | 2.25 |
| Sep 30, 2021 | 16.05 |
| Jun 30, 2021 | 37.78 |
| Mar 31, 2020 | 1,312.85 |
| Dec 31, 2019 | 25.76 |
| Sep 30, 2019 | 22.02 |
| Jun 30, 2019 | 19.08 |
| Mar 31, 2019 | 30.16 |
| Dec 31, 2018 | 28.40 |
| Sep 30, 2018 | 183.19 |
API Access
Intrepid Potash Price to Earnings 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=price-to-earnings&ticker=IPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=IPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();