Columbus Mckinnon (CMCO) Long-Term Debt Repayments (2010 - 2026)
Columbus Mckinnon (CMCO) posted Long-Term Debt Repayments of $604.93 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), compared with $15.18 million a year earlier.
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Analysis
Columbus Mckinnon (CMCO) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Columbus Mckinnon's Long-Term Debt Repayments came in at $616.18 million, up 915.6% from FY2025.
- Annual Long-Term Debt Repayments has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 168.1% (FY2021 to FY2026).
- In prior fiscal years, Columbus Mckinnon's Long-Term Debt Repayments was $60.67 million in FY2025 (+0.1%), $60.6 million in FY2024 (+49.5%), $40.55 million in FY2023 (-91.5%) and $477.85 million in FY2022.
- The fiscal Q4 2026 figure stands as the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q1 2011.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last seven quarters, with an average decline of 25.2%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q4 2022, with growth of 810.2%; the weakest was fiscal Q1 2023, with a decline of 97.8%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $1.24 million (Q3 2026), $5 million (Q2 2026) and $5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 10.00 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 650.00 Mn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 1.42 Bn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | - |
| 10 | Columbus Mckinnon | 395.62 Mn | 137.12 Mn | 146.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 604.93 Mn |
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 15.18 Mn |
| Dec 31, 2024 | 15.17 Mn |
| Sep 30, 2024 | 10.17 Mn |
| Jun 30, 2024 | 20.16 Mn |
| Mar 31, 2024 | 20.16 Mn |
| Dec 31, 2023 | 15.15 Mn |
| Sep 30, 2023 | 15.15 Mn |
| Jun 30, 2023 | 10.14 Mn |
| Mar 31, 2023 | 10.15 Mn |
| Dec 31, 2022 | 10.14 Mn |
| Sep 30, 2022 | 10.14 Mn |
| Jun 30, 2022 | 10.13 Mn |
| Mar 31, 2022 | 10.12 Mn |
| Dec 31, 2021 | 6.44 Mn |
| Sep 30, 2021 | 6.25 Mn |
| Jun 30, 2021 | 455.04 Mn |
API Access
Columbus Mckinnon Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CMCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();