Core Molding Technologies (CMT) Non-Current Assets (2010 - 2026)
Core Molding Technologies' Non-Current Assets was $131.12 million in Q2 2026, up 22.8% from $106.73 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Core Molding Technologies (CMT) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Core Molding Technologies came in at $124.8 million, up 17.0% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $106.66 million in FY2024 (-3.5%), $110.5 million in FY2023 (-6.3%), $117.95 million in FY2022 (+5.7%) and $111.55 million in FY2021 (+2.3%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Compared with a year earlier, Non-Current Assets has increased for four straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2026 (growth of 22.8%); the worst was Q3 2024 (a decline of 8.2%).
- Per Business Quant data, CMT's Non-Current Assets in the three quarters before Q2 2026 was $125.28 million (Q1 2026), $124.8 million (Q4 2025) and $108.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Core Molding Technologies | 193.44 Mn | 77.35 Mn | 12.73 Mn | 131.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.12 Mn |
| Mar 31, 2026 | 125.28 Mn |
| Dec 31, 2025 | 124.80 Mn |
| Sep 30, 2025 | 108.19 Mn |
| Jun 30, 2025 | 106.73 Mn |
| Mar 31, 2025 | 107.98 Mn |
| Dec 31, 2024 | 106.66 Mn |
| Sep 30, 2024 | 105.15 Mn |
| Jun 30, 2024 | 106.99 Mn |
| Mar 31, 2024 | 109.03 Mn |
| Dec 31, 2023 | 110.50 Mn |
| Sep 30, 2023 | 114.53 Mn |
| Jun 30, 2023 | 115.54 Mn |
| Mar 31, 2023 | 115.61 Mn |
| Dec 31, 2022 | 117.95 Mn |
| Sep 30, 2022 | 113.84 Mn |
| Jun 30, 2022 | 113.06 Mn |
| Mar 31, 2022 | 110.66 Mn |
| Dec 31, 2021 | 111.55 Mn |
| Sep 30, 2021 | 108.47 Mn |
API Access
Core Molding Technologies Non-Current Assets 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=non-current-assets&ticker=CMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();