Columbus Mckinnon (CMCO) Payables (2011 - 2026)
Columbus Mckinnon (CMCO) reported Payables of $159.89 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 84.4% from $86.71 million a year earlier but down 5.3% from the prior quarter.
Columbus Mckinnon (CMCO) Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Columbus Mckinnon posted Payables of $168.91 million, up 81.1% from FY2025.
- Payables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 19.7% (FY2021 to FY2026).
- By fiscal year, Payables came in at $93.27 million in FY2025 (+12.2%), $83.12 million in FY2024 (+8.3%), $76.74 million in FY2023 (-15.6%) and $90.88 million in FY2022 (+32.5%).
- Five-year quarterly Payables spans a low of $70.6 million in fiscal Q3 2023 and a high of $168.91 million in fiscal Q4 2026.
- Year over year, Payables has now increased in each of the last six quarters, with growth averaging 31.3% over the last eight quarters.
- The high point for year-over-year Payables in five years was fiscal Q2 2022 (growth of 89.4%); the low point was fiscal Q4 2023 (a decline of 15.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $168.91 million (Q4 2026), $90.82 million (Q3 2026) and $96.04 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.11 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.32 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 14.11 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 7.51 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 2.44 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.47 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.61 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.11 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.09 Bn |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 159.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.89 Mn |
| Mar 31, 2026 | 168.91 Mn |
| Dec 31, 2025 | 90.82 Mn |
| Sep 30, 2025 | 96.04 Mn |
| Jun 30, 2025 | 86.71 Mn |
| Mar 31, 2025 | 93.27 Mn |
| Dec 31, 2024 | 73.02 Mn |
| Sep 30, 2024 | 72.11 Mn |
| Jun 30, 2024 | 73.22 Mn |
| Mar 31, 2024 | 83.12 Mn |
| Dec 31, 2023 | 76.15 Mn |
| Sep 30, 2023 | 71.45 Mn |
| Jun 30, 2023 | 77.38 Mn |
| Mar 31, 2023 | 76.74 Mn |
| Dec 31, 2022 | 70.60 Mn |
| Sep 30, 2022 | 76.58 Mn |
| Jun 30, 2022 | 73.87 Mn |
| Mar 31, 2022 | 90.88 Mn |
| Dec 31, 2021 | 74.06 Mn |
| Sep 30, 2021 | 71.46 Mn |
Columbus Mckinnon Payables 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=payables&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();