Columbus Mckinnon (CMCO) Interest Expenses (2010 - 2026)
Columbus Mckinnon's Interest Expenses was $47.61 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 447.4% from $8.7 million a year earlier and up 34.5% from the prior quarter.
Columbus Mckinnon (CMCO) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbus Mckinnon's Interest Expenses was $100.06 million through Jun 30, 2026, up 204.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $61.15 million, up 88.6% from FY2025.
- Interest Expenses shows a five-year compound annual growth rate of 38.3% (FY2021 to FY2026).
- In earlier fiscal years, Interest Expenses was $32.43 million in FY2025 (-14.6%), $37.96 million in FY2024 (+35.8%), $27.94 million in FY2023 (+38.8%) and $20.13 million in FY2022 (+66.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Interest Expenses in data going back to fiscal Q1 2011.
- Compared with a year earlier, Interest Expenses has increased for five straight quarters, with growth averaging 93.5% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q1 2027 (growth of 447.4%); the worst was fiscal Q3 2025 (a decline of 22.6%).
- Per Business Quant data, CMCO's Interest Expenses in the three fiscal quarters before Q1 2027 was $35.39 million (Q4 2026), $8.31 million (Q3 2026) and $8.75 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 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 | 79.00 Mn |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 47.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.61 Mn |
| Mar 31, 2026 | 35.39 Mn |
| Dec 31, 2025 | 8.31 Mn |
| Sep 30, 2025 | 8.75 Mn |
| Jun 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | 8.14 Mn |
| Dec 31, 2024 | 7.70 Mn |
| Sep 30, 2024 | 8.35 Mn |
| Jun 30, 2024 | 8.24 Mn |
| Mar 31, 2024 | 9.17 Mn |
| Dec 31, 2023 | 9.95 Mn |
| Sep 30, 2023 | 10.21 Mn |
| Jun 30, 2023 | 8.63 Mn |
| Mar 31, 2023 | 7.67 Mn |
| Dec 31, 2022 | 7.30 Mn |
| Sep 30, 2022 | 6.77 Mn |
| Jun 30, 2022 | 6.20 Mn |
| Mar 31, 2022 | 5.35 Mn |
| Dec 31, 2021 | 4.38 Mn |
| Sep 30, 2021 | 4.59 Mn |
Columbus Mckinnon Interest Expenses 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=interest-expenses&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();