Columbus Mckinnon (CMCO) Inventory (2011 - 2026)
Columbus Mckinnon's Inventory was $558.31 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 158.2% from $216.2 million a year earlier but down 8.3% from the prior quarter.
Columbus Mckinnon (CMCO) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Inventory at Columbus Mckinnon came in at $609.03 million, up 206.7% from FY2025.
- Inventory has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 40.4% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $198.6 million in FY2025 (+6.7%), $186.09 million in FY2024 (+3.8%), $179.36 million in FY2023 (+4.2%) and $172.14 million in FY2022 (+54.4%).
- Quarterly Inventory has moved between $147.93 million (fiscal Q2 2022) and $609.03 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Inventory has increased for six straight quarters, with growth averaging 49.3% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q4 2026 (growth of 206.7%); the worst was fiscal Q2 2025 (a decline of 1.9%).
- Per Business Quant data, CMCO's Inventory in the three fiscal quarters before Q1 2027 was $609.03 million (Q4 2026), $222.38 million (Q3 2026) and $217.34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Columbus Mckinnon | 459.32 Mn | 200.43 Mn | 146.27 Mn | 558.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558.31 Mn |
| Mar 31, 2026 | 609.03 Mn |
| Dec 31, 2025 | 222.38 Mn |
| Sep 30, 2025 | 217.34 Mn |
| Jun 30, 2025 | 216.20 Mn |
| Mar 31, 2025 | 198.60 Mn |
| Dec 31, 2024 | 200.69 Mn |
| Sep 30, 2024 | 201.04 Mn |
| Jun 30, 2024 | 200.89 Mn |
| Mar 31, 2024 | 186.09 Mn |
| Dec 31, 2023 | 204.40 Mn |
| Sep 30, 2023 | 205.00 Mn |
| Jun 30, 2023 | 204.75 Mn |
| Mar 31, 2023 | 179.36 Mn |
| Dec 31, 2022 | 200.65 Mn |
| Sep 30, 2022 | 192.79 Mn |
| Jun 30, 2022 | 189.32 Mn |
| Mar 31, 2022 | 172.14 Mn |
| Dec 31, 2021 | 175.10 Mn |
| Sep 30, 2021 | 147.93 Mn |
Columbus Mckinnon Inventory 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=inventory&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();