Compass Minerals International (CMP) Accumulated Expenses (2009 - 2026)
Compass Minerals International (CMP) posted Accumulated Expenses of $99.6 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 37.4% from $159.1 million a year earlier and down 7.2% from the prior quarter.
Compass Minerals International (CMP) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Compass Minerals International's Accumulated Expenses came in at $110.7 million, up 51.2% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior fiscal years, Compass Minerals International's Accumulated Expenses was $73.2 million in FY2024 (-24.9%), $97.5 million in FY2023 (+20.2%), $81.1 million in FY2022 (+33.4%) and $60.8 million in FY2021.
- The fiscal Q3 2026 figure stands as the lowest quarterly Accumulated Expenses since fiscal Q4 2024.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last three quarters, with growth averaging 41.3% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2025, with growth of 162.9%; the weakest was fiscal Q3 2026, with a decline of 37.4%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $107.3 million (Q2 2026), $118 million (Q1 2026) and $110.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 166.40 Bn | 145.19 Bn | 2.90 Bn |
| 3 | Rio Tinto | 142.64 Bn | 103.14 Bn | - |
| 4 | Newmont | 124.89 Bn | 92.89 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.32 Bn | 82.36 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.92 Bn | 83.55 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.05 Bn | 44.25 Bn | 2.90 Bn |
| 8 | Nucor | 58.88 Bn | 48.26 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 47.56 Bn | 26.58 Bn | - |
| 10 | Compass Minerals International | 920.12 Mn | 683.32 Mn | 37.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.00 Mn |
| Mar 31, 2026 | 120.80 Mn |
| Dec 31, 2025 | 119.60 Mn |
| Sep 30, 2025 | 129.70 Mn |
| Jun 30, 2025 | 163.00 Mn |
| Mar 31, 2025 | 176.20 Mn |
| Dec 31, 2024 | 168.40 Mn |
| Sep 30, 2024 | 86.50 Mn |
| Jun 30, 2024 | 68.00 Mn |
| Mar 31, 2024 | 75.20 Mn |
| Dec 31, 2023 | 90.10 Mn |
| Sep 30, 2023 | 110.40 Mn |
| Jun 30, 2023 | 97.40 Mn |
| Mar 31, 2023 | 91.30 Mn |
| Dec 31, 2022 | 83.30 Mn |
| Sep 30, 2022 | 95.20 Mn |
| Jun 30, 2022 | 83.10 Mn |
| Mar 31, 2022 | 81.70 Mn |
| Dec 31, 2021 | 71.30 Mn |
| Sep 30, 2021 | 75.10 Mn |
Compass Minerals International Accumulated 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=accumulated-expenses&ticker=CMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();