Columbus Mckinnon (CMCO) EBITDA Margin (2010 - 2026)
Columbus Mckinnon (CMCO) posted EBITDA Margin of 6.68% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.85 percentage points from 7.53% a year earlier but up 32.44 percentage points from the prior quarter.
Columbus Mckinnon (CMCO) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Columbus Mckinnon was -1.65%, down 10.77 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was -3.54%, down 14.21 percentage points from FY2025.
- Annual EBITDA Margin shows a five-year change of -14.38 percentage points (FY2021 to FY2026).
- In prior fiscal years, Columbus Mckinnon's EBITDA Margin was 10.67% in FY2025 (-4.43 pp), 15.10% in FY2024 (+0.17 pp), 14.93% in FY2023 (+2.17 pp) and 12.76% in FY2022 (+1.93 pp).
- Quarterly EBITDA Margin has run from a low of -25.76% in fiscal Q4 2026 to a high of 17.39% in fiscal Q2 2024 over five years.
- On a year-over-year basis, EBITDA Margin has declined in each of the last eight quarters, with an average year-over-year change of -7.39 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q1 2023, with a gain of 5.17 percentage points; the weakest was fiscal Q4 2026, with a drop of 32.60 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was -25.76% (Q4 2026), 10.94% (Q3 2026) and 9.35% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 27.98% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 23.02% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 34.66% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.29% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 28.95% |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 6.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.68% |
| Mar 31, 2026 | -25.76% |
| Dec 31, 2025 | 10.94% |
| Sep 30, 2025 | 9.35% |
| Jun 30, 2025 | 7.53% |
| Mar 31, 2025 | 6.84% |
| Dec 31, 2024 | 12.77% |
| Sep 30, 2024 | 9.49% |
| Jun 30, 2024 | 13.76% |
| Mar 31, 2024 | 14.06% |
| Dec 31, 2023 | 15.14% |
| Sep 30, 2023 | 17.39% |
| Jun 30, 2023 | 13.73% |
| Mar 31, 2023 | 14.98% |
| Dec 31, 2022 | 13.31% |
| Sep 30, 2022 | 16.31% |
| Jun 30, 2022 | 15.11% |
| Mar 31, 2022 | 13.71% |
| Dec 31, 2021 | 11.84% |
| Sep 30, 2021 | 15.28% |
Columbus Mckinnon EBITDA Margin 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=ebitda-margin&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();