Columbus Mckinnon (CMCO) Cash & Equivalents (2010 - 2026)
Columbus Mckinnon (CMCO) recorded Cash & Equivalents of $98.41 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 242.6% from $28.72 million a year earlier and up 1.9% from the prior quarter.
Columbus Mckinnon (CMCO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Columbus Mckinnon reported Cash & Equivalents of $96.56 million, up 79.9% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -13.7% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $53.68 million in FY2025 (-53.0%), $114.13 million in FY2024 (-14.3%), $133.18 million in FY2023 (+15.4%) and $115.39 million in FY2022 (-42.9%).
- The fiscal Q1 2027 figure is the highest quarterly Cash & Equivalents since fiscal Q4 2024.
- On a year-over-year basis, Cash & Equivalents rose in two of the last eight quarters, with growth averaging 5.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 242.6% in fiscal Q1 2027, against a decline of 60.0% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $96.56 million (Q4 2026), $35.48 million (Q3 2026) and $28.04 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Columbus Mckinnon | 482.68 Mn | 223.79 Mn | 146.27 Mn | 98.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.41 Mn |
| Mar 31, 2026 | 96.56 Mn |
| Dec 31, 2025 | 35.48 Mn |
| Sep 30, 2025 | 28.04 Mn |
| Jun 30, 2025 | 28.72 Mn |
| Mar 31, 2025 | 53.68 Mn |
| Dec 31, 2024 | 41.22 Mn |
| Sep 30, 2024 | 55.68 Mn |
| Jun 30, 2024 | 68.37 Mn |
| Mar 31, 2024 | 114.13 Mn |
| Dec 31, 2023 | 102.95 Mn |
| Sep 30, 2023 | 99.06 Mn |
| Jun 30, 2023 | 106.99 Mn |
| Mar 31, 2023 | 133.18 Mn |
| Dec 31, 2022 | 81.52 Mn |
| Sep 30, 2022 | 88.87 Mn |
| Jun 30, 2022 | 85.66 Mn |
| Mar 31, 2022 | 115.39 Mn |
| Dec 31, 2021 | 106.70 Mn |
| Sep 30, 2021 | 105.31 Mn |
Columbus Mckinnon Cash & Equivalents 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=cash-and-equivalents&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();