Core Molding Technologies (CMT) Total Non-Current Liabilities (2010 - 2026)
Core Molding Technologies' Total Non-Current Liabilities was $64.44 million in Q2 2026, up 4.5% from $61.69 million a year earlier but down 21.6% from the prior quarter.
Core Molding Technologies (CMT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Core Molding Technologies came in at $68.03 million, up 12.3% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $60.57 million in FY2024 (-14.3%), $70.67 million in FY2023 (-10.5%), $78.97 million in FY2022 (-3.7%) and $81.99 million in FY2021 (+18.8%).
- Quarterly Total Non-Current Liabilities has moved between $59.86 million (Q3 2025) and $94.25 million (Q2 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with an average decline of 2.3% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2026 (growth of 19.6%); the worst was Q1 2024 (a decline of 18.4%).
- Per Business Quant data, CMT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $82.21 million (Q1 2026), $68.03 million (Q4 2025) and $59.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Core Molding Technologies | 193.44 Mn | 77.35 Mn | 12.73 Mn | 64.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.44 Mn |
| Mar 31, 2026 | 82.21 Mn |
| Dec 31, 2025 | 68.03 Mn |
| Sep 30, 2025 | 59.86 Mn |
| Jun 30, 2025 | 61.69 Mn |
| Mar 31, 2025 | 68.72 Mn |
| Dec 31, 2024 | 60.57 Mn |
| Sep 30, 2024 | 70.62 Mn |
| Jun 30, 2024 | 75.38 Mn |
| Mar 31, 2024 | 66.14 Mn |
| Dec 31, 2023 | 70.67 Mn |
| Sep 30, 2023 | 79.67 Mn |
| Jun 30, 2023 | 80.50 Mn |
| Mar 31, 2023 | 81.02 Mn |
| Dec 31, 2022 | 78.97 Mn |
| Sep 30, 2022 | 90.09 Mn |
| Jun 30, 2022 | 94.25 Mn |
| Mar 31, 2022 | 91.23 Mn |
| Dec 31, 2021 | 81.99 Mn |
| Sep 30, 2021 | 77.42 Mn |
Core Molding Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();