Columbus Mckinnon (CMCO) Total Current Liabilities (2010 - 2026)
Columbus Mckinnon's Total Current Liabilities was $545.96 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 105.3% from $265.93 million a year earlier but down 2.8% from the prior quarter.
Columbus Mckinnon (CMCO) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Current Liabilities at Columbus Mckinnon came in at $584.33 million, up 126.6% from FY2025.
- Total Current Liabilities shows a five-year compound annual growth rate of 26.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $257.92 million in FY2025 (-1.5%), $261.76 million in FY2024 (+8.3%), $241.66 million in FY2023 (-3.2%) and $249.62 million in FY2022 (+35.8%).
- Quarterly Total Current Liabilities has moved between $215.43 million (fiscal Q3 2023) and $584.33 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for six straight quarters, with growth averaging 47.1% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q4 2026 (growth of 126.6%); the worst was fiscal Q3 2025 (a decline of 19.3%).
- Per Business Quant data, CMCO's Total Current Liabilities in the three fiscal quarters before Q2 2027 was $561.91 million (Q1 2027), $584.33 million (Q4 2026) and $263.13 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 10.12 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 8.71 Bn |
| 10 | Columbus Mckinnon | 587.74 Mn | 245.65 Mn | 187.91 Mn | 545.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 545.96 Mn |
| Jun 30, 2026 | 561.91 Mn |
| Mar 31, 2026 | 584.33 Mn |
| Dec 31, 2025 | 263.13 Mn |
| Sep 30, 2025 | 265.93 Mn |
| Jun 30, 2025 | 259.24 Mn |
| Mar 31, 2025 | 257.92 Mn |
| Dec 31, 2024 | 217.34 Mn |
| Sep 30, 2024 | 229.66 Mn |
| Jun 30, 2024 | 231.51 Mn |
| Mar 31, 2024 | 261.76 Mn |
| Dec 31, 2023 | 269.32 Mn |
| Sep 30, 2023 | 263.61 Mn |
| Jun 30, 2023 | 263.92 Mn |
| Mar 31, 2023 | 241.66 Mn |
| Dec 31, 2022 | 215.43 Mn |
| Sep 30, 2022 | 222.00 Mn |
| Jun 30, 2022 | 219.25 Mn |
| Mar 31, 2022 | 249.62 Mn |
| Dec 31, 2021 | 231.00 Mn |
Columbus Mckinnon Total 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-current-liabilities&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();