Columbus Mckinnon (CMCO) EBIT (2010 - 2026)
Columbus Mckinnon's EBIT was -$17.7 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $5.49 million a year earlier.
Columbus Mckinnon (CMCO) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbus Mckinnon's EBIT was -$142.52 million through Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at -$119.33 million.
- In earlier fiscal years, EBIT was $54.57 million in FY2025 (-49.1%), $107.15 million in FY2024 (+9.5%), $97.84 million in FY2023 (+32.6%) and $73.78 million in FY2022 (+74.6%).
- Quarterly EBIT has moved between -$153.18 million (fiscal Q4 2026) and $33.35 million (fiscal Q2 2024) over five years.
- Compared with a year earlier, EBIT was higher in 1 of the last six quarters, with an average decline of 42.1%.
- The best year-over-year quarter for EBIT over five years was fiscal Q1 2023 (growth of 112.3%); the worst was fiscal Q4 2025 (a decline of 80.6%).
- Per Business Quant data, CMCO's EBIT in the three fiscal quarters before Q1 2027 was -$153.18 million (Q4 2026), $16.17 million (Q3 2026) and $12.19 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | -17.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.70 Mn |
| Mar 31, 2026 | -153.18 Mn |
| Dec 31, 2025 | 16.17 Mn |
| Sep 30, 2025 | 12.19 Mn |
| Jun 30, 2025 | 5.49 Mn |
| Mar 31, 2025 | 4.93 Mn |
| Dec 31, 2024 | 17.69 Mn |
| Sep 30, 2024 | 10.81 Mn |
| Jun 30, 2024 | 21.15 Mn |
| Mar 31, 2024 | 25.44 Mn |
| Dec 31, 2023 | 26.91 Mn |
| Sep 30, 2023 | 33.35 Mn |
| Jun 30, 2023 | 21.45 Mn |
| Mar 31, 2023 | 27.47 Mn |
| Dec 31, 2022 | 20.18 Mn |
| Sep 30, 2022 | 27.37 Mn |
| Jun 30, 2022 | 22.82 Mn |
| Mar 31, 2022 | 24.06 Mn |
| Dec 31, 2021 | 15.32 Mn |
| Sep 30, 2021 | 23.66 Mn |
Columbus Mckinnon EBIT 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=ebit&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();