Columbus Mckinnon (CMCO) Return on Sales [ROS] (2010 - 2026)
Columbus Mckinnon (CMCO) reported Return on Sales [ROS] of -3.33% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 5.66 percentage points from 2.33% a year earlier but up 31.66 percentage points from the prior quarter.
Columbus Mckinnon (CMCO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Columbus Mckinnon's Return on Sales [ROS] came in at -9.57%, down 13.63 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was -10.00%, down 15.67 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -16.50 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 5.67% in FY2025 (-4.90 pp), 10.57% in FY2024 (+0.12 pp), 10.45% in FY2023 (+2.31 pp) and 8.14% in FY2022 (+1.63 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -34.99% in fiscal Q4 2026 and a high of 12.91% in fiscal Q2 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of -8.66 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q1 2023 (a gain of 5.32 percentage points); the low point was fiscal Q4 2026 (a drop of 36.98 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -34.99% (Q4 2026), 6.25% (Q3 2026) and 4.67% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Columbus Mckinnon | 482.68 Mn | 223.79 Mn | 146.27 Mn | -3.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.33% |
| Mar 31, 2026 | -34.99% |
| Dec 31, 2025 | 6.25% |
| Sep 30, 2025 | 4.67% |
| Jun 30, 2025 | 2.33% |
| Mar 31, 2025 | 2.00% |
| Dec 31, 2024 | 7.56% |
| Sep 30, 2024 | 4.46% |
| Jun 30, 2024 | 8.82% |
| Mar 31, 2024 | 9.58% |
| Dec 31, 2023 | 10.59% |
| Sep 30, 2023 | 12.91% |
| Jun 30, 2023 | 9.11% |
| Mar 31, 2023 | 10.82% |
| Dec 31, 2022 | 8.76% |
| Sep 30, 2022 | 11.81% |
| Jun 30, 2022 | 10.36% |
| Mar 31, 2022 | 9.50% |
| Dec 31, 2021 | 7.09% |
| Sep 30, 2021 | 10.58% |
Columbus Mckinnon Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CMCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();