Core Molding Technologies (CMT) Total Liabilities (2010 - 2026)
Core Molding Technologies (CMT) recorded Total Liabilities of $66.34 million in Q2 2026, down 0.2% from $66.46 million a year earlier and down 21.1% from the prior quarter.
Core Molding Technologies (CMT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Core Molding Technologies reported Total Liabilities of $69.96 million, up 12.5% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $62.19 million in FY2024 (-16.4%), $74.42 million in FY2023 (-9.8%), $82.49 million in FY2022 (-4.7%) and $86.6 million in FY2021 (+21.0%).
- Quarterly Total Liabilities has ranged from $62.19 million in Q4 2024 to $98.13 million in Q2 2022 over the past five years.
- On a year-over-year basis, Total Liabilities rose in three of the last eight quarters, with an average decline of 2.8%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 21.0% in Q4 2021, against a decline of 17.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $84.13 million (Q1 2026), $69.96 million (Q4 2025) and $64.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Core Molding Technologies | 193.44 Mn | 77.35 Mn | 12.73 Mn | 66.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.34 Mn |
| Mar 31, 2026 | 84.13 Mn |
| Dec 31, 2025 | 69.96 Mn |
| Sep 30, 2025 | 64.26 Mn |
| Jun 30, 2025 | 66.46 Mn |
| Mar 31, 2025 | 73.72 Mn |
| Dec 31, 2024 | 62.19 Mn |
| Sep 30, 2024 | 72.81 Mn |
| Jun 30, 2024 | 78.19 Mn |
| Mar 31, 2024 | 69.45 Mn |
| Dec 31, 2023 | 74.42 Mn |
| Sep 30, 2023 | 82.67 Mn |
| Jun 30, 2023 | 83.81 Mn |
| Mar 31, 2023 | 84.05 Mn |
| Dec 31, 2022 | 82.49 Mn |
| Sep 30, 2022 | 93.81 Mn |
| Jun 30, 2022 | 98.13 Mn |
| Mar 31, 2022 | 95.49 Mn |
| Dec 31, 2021 | 86.60 Mn |
| Sep 30, 2021 | 80.16 Mn |
Core Molding Technologies Total 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-liabilities&ticker=CMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();