Columbus Mckinnon (CMCO) Cost of Revenue (2010 - 2026)
Columbus Mckinnon's Cost of Revenue was $385.19 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 142.7% from $158.7 million a year earlier and up 15.0% from the prior quarter.
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Analysis
Columbus Mckinnon (CMCO) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbus Mckinnon's Cost of Revenue was $1.06 billion through Jun 30, 2026, up 64.3% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $834.02 million, up 30.9% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 14.2% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $637.35 million in FY2025 (-0.2%), $638.7 million in FY2024 (+7.5%), $594.14 million in FY2023 (+0.6%) and $590.83 million in FY2022 (+37.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Cost of Revenue in data going back to fiscal Q1 2011.
- Compared with a year earlier, Cost of Revenue has increased for five straight quarters, with growth averaging 32.5% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q1 2027 (growth of 142.7%); the worst was fiscal Q3 2025 (a decline of 5.1%).
- Per Business Quant data, CMCO's Cost of Revenue in the three fiscal quarters before Q1 2027 was $334.94 million (Q4 2026), $169.5 million (Q3 2026) and $170.89 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Columbus Mckinnon | 482.68 Mn | 223.79 Mn | 146.27 Mn | 385.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 385.19 Mn |
| Mar 31, 2026 | 334.94 Mn |
| Dec 31, 2025 | 169.50 Mn |
| Sep 30, 2025 | 170.89 Mn |
| Jun 30, 2025 | 158.70 Mn |
| Mar 31, 2025 | 167.08 Mn |
| Dec 31, 2024 | 152.04 Mn |
| Sep 30, 2024 | 167.53 Mn |
| Jun 30, 2024 | 150.70 Mn |
| Mar 31, 2024 | 171.19 Mn |
| Dec 31, 2023 | 160.25 Mn |
| Sep 30, 2023 | 158.42 Mn |
| Jun 30, 2023 | 148.84 Mn |
| Mar 31, 2023 | 162.63 Mn |
| Dec 31, 2022 | 148.33 Mn |
| Sep 30, 2022 | 145.43 Mn |
| Jun 30, 2022 | 137.77 Mn |
| Mar 31, 2022 | 167.89 Mn |
| Dec 31, 2021 | 141.03 Mn |
| Sep 30, 2021 | 142.50 Mn |
API Access
Columbus Mckinnon Cost of Revenue 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=cost-of-revenue&ticker=CMCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();