Columbus Mckinnon (CMCO) Enterprise Value (2010 - 2026)
Columbus Mckinnon's Enterprise Value was $337.45 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 17.6% from $409.38 million a year earlier but up 5.1% from the prior quarter.
Columbus Mckinnon (CMCO) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbus Mckinnon's Enterprise Value was $177.37 million through Jun 30, 2026, down 31.5% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $321.04 million, down 25.5% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of -21.3% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $430.82 million in FY2025 (-63.2%), $1.17 billion in FY2024 (+25.9%), $930.04 million in FY2023 (-15.0%) and $1.09 billion in FY2022 (+2.9%).
- Quarterly Enterprise Value has moved between $321.04 million (fiscal Q4 2026) and $1.27 billion (fiscal Q2 2022) over five years.
- Compared with a year earlier, Enterprise Value has declined for six straight quarters, with an average decline of 33.7% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q2 2022 (growth of 110.0%); the worst was fiscal Q4 2025 (a decline of 63.2%).
- Per Business Quant data, CMCO's Enterprise Value in the three fiscal quarters before Q1 2027 was $321.04 million (Q4 2026), $460.11 million (Q3 2026) and $383.92 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 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 |
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 337.45 Mn |
| Mar 31, 2026 | 321.04 Mn |
| Dec 31, 2025 | 460.11 Mn |
| Sep 30, 2025 | 383.92 Mn |
| Jun 30, 2025 | 409.38 Mn |
| Mar 31, 2025 | 430.82 Mn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 30, 2024 | 979.17 Mn |
| Jun 30, 2024 | 928.67 Mn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 1.02 Bn |
| Sep 30, 2023 | 904.15 Mn |
| Jun 30, 2023 | 1.06 Bn |
| Mar 31, 2023 | 930.04 Mn |
| Dec 31, 2022 | 847.39 Mn |
| Sep 30, 2022 | 660.08 Mn |
| Jun 30, 2022 | 725.40 Mn |
| Mar 31, 2022 | 1.09 Bn |
| Dec 31, 2021 | 1.21 Bn |
| Sep 30, 2021 | 1.27 Bn |
Columbus Mckinnon Enterprise Value 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=enterprise-value&ticker=CMCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();