Core Molding Technologies (CMT) Capital Expenditures (2010 - 2026)
Core Molding Technologies (CMT) posted Capital Expenditures of $8.3 million for Q2 2026, up 217.3% from $2.62 million a year earlier and up 119.3% from the prior quarter.
Core Molding Technologies (CMT) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Core Molding Technologies was $24.96 million, up 124.8% year-over-year; for FY2025, it came in at $17.27 million, up 49.8% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- In prior years, Core Molding Technologies' Capital Expenditures was $11.53 million in FY2024 (+26.6%), $9.1 million in FY2023 (-45.1%), $16.59 million in FY2022 (+43.4%) and $11.57 million in FY2021 (+214.1%).
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures in data going back to Q3 2010.
- On a year-over-year basis, Capital Expenditures has increased in each of the last four quarters, with growth averaging 75.5% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2021, with growth of 238.0%; the weakest was Q2 2023, with a decline of 61.2%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $3.78 million (Q1 2026), $7.96 million (Q4 2025) and $4.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Core Molding Technologies | 193.44 Mn | 77.35 Mn | 12.73 Mn | 8.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.30 Mn |
| Mar 31, 2026 | 3.78 Mn |
| Dec 31, 2025 | 7.96 Mn |
| Sep 30, 2025 | 4.92 Mn |
| Jun 30, 2025 | 2.62 Mn |
| Mar 31, 2025 | 1.77 Mn |
| Dec 31, 2024 | 4.48 Mn |
| Sep 30, 2024 | 2.24 Mn |
| Jun 30, 2024 | 2.91 Mn |
| Mar 31, 2024 | 1.89 Mn |
| Dec 31, 2023 | 2.30 Mn |
| Sep 30, 2023 | 2.29 Mn |
| Jun 30, 2023 | 2.38 Mn |
| Mar 31, 2023 | 2.13 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 3.66 Mn |
| Jun 30, 2022 | 6.14 Mn |
| Mar 31, 2022 | 2.48 Mn |
| Dec 31, 2021 | 3.27 Mn |
| Sep 30, 2021 | 2.91 Mn |
Core Molding Technologies Capital Expenditures 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=capital-expenditures&ticker=CMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "CMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=CMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();