Columbus Mckinnon (CMCO) Non-Current Assets (2011 - 2026)
Columbus Mckinnon's Non-Current Assets came in at $3.55 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 173.1% from $1.3 billion a year earlier but down 1.4% from the prior quarter.
Columbus Mckinnon (CMCO) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Columbus Mckinnon's Non-Current Assets was $3.6 billion, up 183.1% from FY2025.
- Non-Current Assets carries a five-year compound annual growth rate of 38.4% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $1.27 billion in FY2025 (-3.0%), $1.31 billion in FY2024 (+9.1%), $1.2 billion in FY2023 (-1.4%) and $1.22 billion in FY2022 (+72.0%).
- The five-year range for quarterly Non-Current Assets is $1.17 billion (fiscal Q2 2023) to $3.6 billion (fiscal Q4 2026).
- Year-over-year, Non-Current Assets has increased for three consecutive quarters, with growth averaging 43.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q4 2026 (growth of 183.1%), and the weakest in fiscal Q3 2025 (a decline of 5.3%).
- Business Quant data shows CMCO's Non-Current Assets at $3.6 billion (Q4 2026), $1.28 billion (Q3 2026) and $1.29 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 3.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.55 Bn |
| Mar 31, 2026 | 3.60 Bn |
| Dec 31, 2025 | 1.28 Bn |
| Sep 30, 2025 | 1.29 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.27 Bn |
| Dec 31, 2024 | 1.27 Bn |
| Sep 30, 2024 | 1.31 Bn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.31 Bn |
| Dec 31, 2023 | 1.34 Bn |
| Sep 30, 2023 | 1.32 Bn |
| Jun 30, 2023 | 1.35 Bn |
| Mar 31, 2023 | 1.20 Bn |
| Dec 31, 2022 | 1.19 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.19 Bn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 1.23 Bn |
| Sep 30, 2021 | 1.18 Bn |
Columbus Mckinnon Non-Current Assets 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=non-current-assets&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();