Columbus Mckinnon (CMCO) Total Liabilities (2011 - 2026)
Columbus Mckinnon's Total Liabilities came in at $3.31 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 280.9% from $868.31 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Columbus Mckinnon (CMCO) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Columbus Mckinnon's Total Liabilities was $3.34 billion, up 289.4% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 40.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $856.69 million in FY2025 (-9.2%), $943.88 million in FY2024 (+9.2%), $864.66 million in FY2023 (-5.3%) and $912.9 million in FY2022 (+47.2%).
- The five-year range for quarterly Total Liabilities is $838.55 million (fiscal Q3 2023) to $3.34 billion (fiscal Q4 2026).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with growth averaging 66.4%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2026 (growth of 289.4%), and the weakest in fiscal Q3 2025 (a decline of 14.3%).
- Business Quant data shows CMCO's Total Liabilities at $3.34 billion (Q4 2026), $839.67 million (Q3 2026) and $855.26 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 3.31 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.31 Bn |
| Mar 31, 2026 | 3.34 Bn |
| Dec 31, 2025 | 839.67 Mn |
| Sep 30, 2025 | 855.26 Mn |
| Jun 30, 2025 | 868.31 Mn |
| Mar 31, 2025 | 856.69 Mn |
| Dec 31, 2024 | 839.32 Mn |
| Sep 30, 2024 | 880.75 Mn |
| Jun 30, 2024 | 895.85 Mn |
| Mar 31, 2024 | 943.88 Mn |
| Dec 31, 2023 | 978.87 Mn |
| Sep 30, 2023 | 973.40 Mn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 864.66 Mn |
| Dec 31, 2022 | 838.55 Mn |
| Sep 30, 2022 | 844.91 Mn |
| Jun 30, 2022 | 859.55 Mn |
| Mar 31, 2022 | 912.90 Mn |
| Dec 31, 2021 | 925.84 Mn |
| Sep 30, 2021 | 850.82 Mn |
API Access
Columbus Mckinnon 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=CMCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();