Columbus Mckinnon (CMCO) Research & Development (2016 - 2026)
Columbus Mckinnon (CMCO) reported Research & Development of $8.07 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 68.8% from $4.78 million a year earlier but down 5.5% from the prior quarter.
Columbus Mckinnon (CMCO) Research & Development (2016 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Columbus Mckinnon's Research & Development came in at $28.42 million, up 34.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $21.41 million, down 10.3% from FY2025.
- Research & Development has a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- By fiscal year, Research & Development came in at $23.87 million in FY2025 (-8.9%), $26.19 million in FY2024 (+25.1%), $20.94 million in FY2023 (+36.4%) and $15.35 million in FY2022 (+23.7%).
- Five-year quarterly Research & Development spans a low of $3.88 million in fiscal Q3 2022 and a high of $8.54 million in fiscal Q1 2027.
- Year over year, Research & Development has now increased in each of the last three quarters, with growth averaging 9.0% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was fiscal Q1 2027 (growth of 77.2%); the low point was fiscal Q1 2026 (a decline of 21.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $8.54 million (Q1 2027), $7.37 million (Q4 2026) and $4.44 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 596.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 238.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | - |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 304.00 Mn |
| 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 | 8.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.07 Mn |
| Jun 30, 2026 | 8.54 Mn |
| Mar 31, 2026 | 7.37 Mn |
| Dec 31, 2025 | 4.44 Mn |
| Sep 30, 2025 | 4.78 Mn |
| Jun 30, 2025 | 4.82 Mn |
| Mar 31, 2025 | 6.28 Mn |
| Dec 31, 2024 | 5.33 Mn |
| Sep 30, 2024 | 6.10 Mn |
| Jun 30, 2024 | 6.17 Mn |
| Mar 31, 2024 | 7.06 Mn |
| Dec 31, 2023 | 6.69 Mn |
| Sep 30, 2023 | 6.54 Mn |
| Jun 30, 2023 | 5.90 Mn |
| Mar 31, 2023 | 5.51 Mn |
| Dec 31, 2022 | 4.84 Mn |
| Sep 30, 2022 | 5.46 Mn |
| Jun 30, 2022 | 5.13 Mn |
| Mar 31, 2022 | 4.07 Mn |
| Dec 31, 2021 | 3.88 Mn |
Columbus Mckinnon Research & Development 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=research-and-development&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();