Columbus Mckinnon (CMCO) Long-Term Investments (2011 - 2026)
Columbus Mckinnon's Long-Term Investments was $10.28 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.5% from $10.33 million a year earlier but up 0.5% from the prior quarter.
Columbus Mckinnon (CMCO) Long-Term Investments (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Long-Term Investments at Columbus Mckinnon came in at $10.22 million, up 1.1% from FY2025.
- Long-Term Investments shows a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Investments was $10.11 million in FY2025 (-11.7%), $11.45 million in FY2024 (+10.4%), $10.37 million in FY2023 (+0.7%) and $10.29 million in FY2022 (+29.2%).
- Quarterly Long-Term Investments has moved between $10.07 million (fiscal Q2 2022) and $12.39 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Long-Term Investments was higher in 1 of the last eight quarters, with an average decline of 4.4%.
- The best year-over-year quarter for Long-Term Investments over five years was fiscal Q3 2022 (growth of 40.1%); the worst was fiscal Q3 2025 (a decline of 14.7%).
- Per Business Quant data, CMCO's Long-Term Investments in the three fiscal quarters before Q1 2027 was $10.22 million (Q4 2026), $10.47 million (Q3 2026) and $10.44 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | - |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | - |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | - |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | - |
| 10 | Columbus Mckinnon | 459.61 Mn | 200.72 Mn | 146.27 Mn | 10.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.28 Mn |
| Mar 31, 2026 | 10.22 Mn |
| Dec 31, 2025 | 10.47 Mn |
| Sep 30, 2025 | 10.44 Mn |
| Jun 30, 2025 | 10.33 Mn |
| Mar 31, 2025 | 10.11 Mn |
| Dec 31, 2024 | 10.57 Mn |
| Sep 30, 2024 | 10.58 Mn |
| Jun 30, 2024 | 10.86 Mn |
| Mar 31, 2024 | 11.45 Mn |
| Dec 31, 2023 | 12.39 Mn |
| Sep 30, 2023 | 10.81 Mn |
| Jun 30, 2023 | 10.25 Mn |
| Mar 31, 2023 | 10.37 Mn |
| Dec 31, 2022 | 10.21 Mn |
| Sep 30, 2022 | 10.18 Mn |
| Jun 30, 2022 | 10.32 Mn |
| Mar 31, 2022 | 10.29 Mn |
| Dec 31, 2021 | 11.10 Mn |
| Sep 30, 2021 | 10.07 Mn |
Columbus Mckinnon Long-Term Investments 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=long-term-investments&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();