Columbus Mckinnon (CMCO) EBITDA (2010 - 2026)
Columbus Mckinnon (CMCO) recorded EBITDA of $35.5 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 99.9% from $17.76 million a year earlier.
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Analysis
Columbus Mckinnon (CMCO) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Columbus Mckinnon's EBITDA came in at -$24.55 million as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was -$42.3 million.
- Across earlier fiscal years, EBITDA came in at $102.76 million in FY2025 (-32.9%), $153.09 million in FY2024 (+9.5%), $139.79 million in FY2023 (+20.8%) and $115.71 million in FY2022 (+64.3%).
- The fiscal Q1 2027 figure is the highest quarterly EBITDA since fiscal Q4 2024.
- On a year-over-year basis, EBITDA rose in two of the last seven quarters, with an average decline of 10.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 99.9% in fiscal Q1 2027, against a decline of 54.8% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$112.76 million (Q4 2026), $28.3 million (Q3 2026) and $24.41 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 1.89 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Columbus Mckinnon | 419.80 Mn | 161.31 Mn | 146.27 Mn | 38.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.01 Mn |
| Mar 31, 2026 | -110.88 Mn |
| Dec 31, 2025 | 28.75 Mn |
| Sep 30, 2025 | 25.01 Mn |
| Jun 30, 2025 | 18.38 Mn |
| Mar 31, 2025 | 17.51 Mn |
| Dec 31, 2024 | 30.51 Mn |
| Sep 30, 2024 | 23.62 Mn |
| Jun 30, 2024 | 33.61 Mn |
| Mar 31, 2024 | 37.95 Mn |
| Dec 31, 2023 | 39.10 Mn |
| Sep 30, 2023 | 45.57 Mn |
| Jun 30, 2023 | 32.82 Mn |
| Mar 31, 2023 | 38.47 Mn |
| Dec 31, 2022 | 31.10 Mn |
| Sep 30, 2022 | 38.23 Mn |
| Jun 30, 2022 | 33.72 Mn |
| Mar 31, 2022 | 35.17 Mn |
| Dec 31, 2021 | 26.00 Mn |
| Sep 30, 2021 | 34.56 Mn |
API Access
Columbus Mckinnon EBITDA 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&ticker=CMCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();