Columbus Mckinnon (CMCO) Research & Development (2016 - 2026)
Columbus Mckinnon (CMCO) reported Research & Development of $8.54 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 77.2% from $4.82 million a year earlier and up 16.0% from the prior quarter.
Columbus Mckinnon (CMCO) Research & Development (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Columbus Mckinnon's Research & Development came in at $25.13 million, up 11.6% 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%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Research & Development in data going back to fiscal Q1 2017.
- Year over year, Research & Development gained in two of the last eight quarters, with an average decline of 0.5%.
- 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 Q1 2027 came in at $7.37 million (Q4 2026), $4.44 million (Q3 2026) and $4.78 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 616.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 227.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 302.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 8.54 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 3.83 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_KEYimport 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();