Compass Minerals International (CMP) Operating Expenses (2009 - 2026)
Compass Minerals International (CMP) posted Operating Expenses of $27 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.5% from $24 million a year earlier and unchanged from the prior quarter.
Compass Minerals International (CMP) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Compass Minerals International was $107 million, down 9.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $113.3 million, down 17.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In prior fiscal years, Compass Minerals International's Operating Expenses was $137.8 million in FY2024 (-8.3%), $150.2 million in FY2023 (+12.5%), $133.5 million in FY2022 (+8.9%) and $122.6 million in FY2021.
- Quarterly Operating Expenses has run from a low of $12 million in fiscal Q4 2022 to a high of $45.7 million in fiscal Q1 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 13.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2023, with growth of 241.7%; the weakest was fiscal Q1 2025, with a decline of 27.1%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $27 million (Q2 2026), $26.6 million (Q1 2026) and $26.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | -780.00 Mn |
| 10 | Compass Minerals International | 929.41 Mn | 692.61 Mn | 37.90 Mn | 27.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.00 Mn |
| Mar 31, 2026 | 27.00 Mn |
| Dec 31, 2025 | 26.60 Mn |
| Sep 30, 2025 | 26.40 Mn |
| Jun 30, 2025 | 24.00 Mn |
| Mar 31, 2025 | 29.60 Mn |
| Dec 31, 2024 | 33.30 Mn |
| Sep 30, 2024 | 31.30 Mn |
| Jun 30, 2024 | 27.50 Mn |
| Mar 31, 2024 | 33.30 Mn |
| Dec 31, 2023 | 45.70 Mn |
| Sep 30, 2023 | 41.00 Mn |
| Jun 30, 2023 | 33.00 Mn |
| Mar 31, 2023 | 34.40 Mn |
| Dec 31, 2022 | 41.80 Mn |
| Sep 30, 2022 | 12.00 Mn |
| Jun 30, 2022 | 37.40 Mn |
| Mar 31, 2022 | 44.60 Mn |
| Dec 31, 2021 | 39.50 Mn |
| Jun 30, 2021 | 29.30 Mn |
Compass Minerals International Operating Expenses 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=operating-expenses&ticker=CMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CMP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();