Columbus Mckinnon (CMCO) Total Non-Current Liabilities (2011 - 2026)
Columbus Mckinnon's Total Non-Current Liabilities came in at $2.78 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 308.2% from $682.03 million a year earlier but down 0.9% from the prior quarter.
Columbus Mckinnon (CMCO) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Columbus Mckinnon's Total Non-Current Liabilities was $2.81 billion, up 314.5% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 45.7% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $678.16 million in FY2025 (-8.5%), $741.33 million in FY2024 (+10.2%), $672.65 million in FY2023 (-6.6%) and $720.29 million in FY2022 (+68.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $629.63 million (fiscal Q2 2022) to $2.81 billion (fiscal Q4 2026).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 73.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2026 (growth of 314.5%), and the weakest in fiscal Q3 2025 (a decline of 15.1%).
- Business Quant data shows CMCO's Total Non-Current Liabilities at $2.81 billion (Q4 2026), $662.57 million (Q3 2026) and $674.4 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 2.78 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Bn |
| Mar 31, 2026 | 2.81 Bn |
| Dec 31, 2025 | 662.57 Mn |
| Sep 30, 2025 | 674.40 Mn |
| Jun 30, 2025 | 682.03 Mn |
| Mar 31, 2025 | 678.16 Mn |
| Dec 31, 2024 | 652.41 Mn |
| Sep 30, 2024 | 679.57 Mn |
| Jun 30, 2024 | 691.25 Mn |
| Mar 31, 2024 | 741.33 Mn |
| Dec 31, 2023 | 768.71 Mn |
| Sep 30, 2023 | 777.82 Mn |
| Jun 30, 2023 | 803.07 Mn |
| Mar 31, 2023 | 672.65 Mn |
| Dec 31, 2022 | 656.35 Mn |
| Sep 30, 2022 | 672.84 Mn |
| Jun 30, 2022 | 680.01 Mn |
| Mar 31, 2022 | 720.29 Mn |
| Dec 31, 2021 | 711.59 Mn |
| Sep 30, 2021 | 629.63 Mn |
Columbus Mckinnon 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=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CMCO", "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=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();