Columbus Mckinnon (CMCO) Acquisitions (2016 - 2023)
Columbus Mckinnon (CMCO) reported Acquisitions of $2.63 billion for FY2026 (year ended Mar 31, 2026).
Analysis
Columbus Mckinnon (CMCO) Acquisitions (2016 - 2023) Analysis & Trends
Dating back to FY2016, Columbus Mckinnon's Acquisitions record includes 6 fiscal years.
- Acquisitions has a four-year compound annual growth rate of 48.5% (FY2022 to FY2026).
- The FY2026 figure ranks as the highest annual Acquisitions in data going back to FY2016.
- According to Business Quant data, Acquisitions came in at $108.15 million in FY2024, $1.62 million in FY2023 (-99.7%) and $539.78 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 14.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 92.20 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 16.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 264.20 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 540,000.00 |
| Jun 30, 2023 | 107.61 Mn |
| Jun 30, 2022 | 1.62 Mn |
| Dec 31, 2021 | 66.82 Mn |
| Sep 30, 2021 | -2.36 Mn |
| Jun 30, 2021 | 475.31 Mn |
| Mar 31, 2017 | 218.26 Mn |
| Dec 31, 2016 | 1,000.00 |
API Access
Columbus Mckinnon Acquisitions 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=acquisitions&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();