Columbus Mckinnon (CMCO) Intangibles (2011 - 2026)
Columbus Mckinnon (CMCO) recorded Intangibles of $1.57 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 333.7% from $360.99 million a year earlier but down 2.7% from the prior quarter.
Columbus Mckinnon (CMCO) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Columbus Mckinnon reported Intangibles of $1.61 billion, up 351.4% from FY2025.
- Annual Intangibles has a five-year compound annual growth rate of 49.8% (FY2021 to FY2026).
- Across earlier fiscal years, Intangibles came in at $356.56 million in FY2025 (-7.5%), $385.63 million in FY2024 (+6.4%), $362.54 million in FY2023 (-7.2%) and $390.79 million in FY2022 (+83.2%).
- Quarterly Intangibles has ranged from $345.75 million in fiscal Q3 2026 to $1.61 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Intangibles rose in two of the last eight quarters, with growth averaging 81.1%.
- Peak year-over-year performance for Intangibles in the last five years was growth of 351.4% in fiscal Q4 2026, against a decline of 9.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.61 billion (Q4 2026), $345.75 million (Q3 2026) and $352.75 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.80 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 8.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.05 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 1.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 Bn |
| Mar 31, 2026 | 1.61 Bn |
| Dec 31, 2025 | 345.75 Mn |
| Sep 30, 2025 | 352.75 Mn |
| Jun 30, 2025 | 360.99 Mn |
| Mar 31, 2025 | 356.56 Mn |
| Dec 31, 2024 | 358.15 Mn |
| Sep 30, 2024 | 375.60 Mn |
| Jun 30, 2024 | 377.55 Mn |
| Mar 31, 2024 | 385.63 Mn |
| Dec 31, 2023 | 396.32 Mn |
| Sep 30, 2023 | 397.39 Mn |
| Jun 30, 2023 | 409.54 Mn |
| Mar 31, 2023 | 362.54 Mn |
| Dec 31, 2022 | 367.66 Mn |
| Sep 30, 2022 | 365.21 Mn |
| Jun 30, 2022 | 378.40 Mn |
| Mar 31, 2022 | 390.79 Mn |
| Dec 31, 2021 | 400.56 Mn |
| Sep 30, 2021 | 392.70 Mn |
Columbus Mckinnon Intangibles 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=intangibles&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();