Columbus Mckinnon (CMCO) Accumulated Expenses (2010 - 2026)
Columbus Mckinnon's Accumulated Expenses was $244.36 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 105.2% from $119.09 million a year earlier but down 1.5% from the prior quarter.
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Analysis
Columbus Mckinnon (CMCO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Accumulated Expenses at Columbus Mckinnon came in at $249.01 million, up 118.6% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of 17.6% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $113.91 million in FY2025 (-11.0%), $127.97 million in FY2024 (+2.9%), $124.32 million in FY2023 (+5.2%) and $118.19 million in FY2022 (+6.7%).
- Quarterly Accumulated Expenses has moved between $93.6 million (fiscal Q3 2025) and $249.01 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 42.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2026 (growth of 118.6%); the worst was fiscal Q3 2025 (a decline of 34.3%).
- Per Business Quant data, CMCO's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $247.96 million (Q1 2027), $249.01 million (Q4 2026) and $121.48 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Columbus Mckinnon | 587.74 Mn | 245.65 Mn | 187.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 244.36 Mn |
| Jun 30, 2026 | 247.96 Mn |
| Mar 31, 2026 | 249.01 Mn |
| Dec 31, 2025 | 121.48 Mn |
| Sep 30, 2025 | 119.09 Mn |
| Jun 30, 2025 | 121.77 Mn |
| Mar 31, 2025 | 113.91 Mn |
| Dec 31, 2024 | 93.60 Mn |
| Sep 30, 2024 | 106.85 Mn |
| Jun 30, 2024 | 107.59 Mn |
| Mar 31, 2024 | 127.97 Mn |
| Dec 31, 2023 | 142.52 Mn |
| Sep 30, 2023 | 141.53 Mn |
| Jun 30, 2023 | 145.93 Mn |
| Mar 31, 2023 | 124.32 Mn |
| Dec 31, 2022 | 104.23 Mn |
| Sep 30, 2022 | 104.84 Mn |
| Jun 30, 2022 | 104.82 Mn |
| Mar 31, 2022 | 118.19 Mn |
| Dec 31, 2021 | 116.41 Mn |
API Access
Columbus Mckinnon Accumulated 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=accumulated-expenses&ticker=CMCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();