Columbus Mckinnon (CMCO) Retained Earnings (2009 - 2026)
Columbus Mckinnon (CMCO) recorded Retained Earnings of -$8.4 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with $382.84 million a year earlier.
Columbus Mckinnon (CMCO) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Columbus Mckinnon reported Retained Earnings of $135.81 million, down 64.5% from FY2025.
- Annual Retained Earnings has a five-year compound annual growth rate of -14.3% (FY2021 to FY2026).
- Across earlier fiscal years, Retained Earnings came in at $382.16 million in FY2025 (-3.3%), $395.33 million in FY2024 (+10.8%), $356.76 million in FY2023 (+12.8%) and $316.34 million in FY2022 (+7.7%).
- The fiscal Q2 2027 figure is the lowest quarterly Retained Earnings in data going back to fiscal Q1 2011.
- On a year-over-year basis, Retained Earnings rose in 1 of the last seven quarters, with an average decline of 23.7%.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 13.3% in fiscal Q1 2023, against a decline of 91.3% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $33.22 million (Q1 2027), $135.81 million (Q4 2026) and $386.83 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 73.43 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 13.09 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 62.17 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.18 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.12 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 39.59 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 41.75 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 31.18 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 2.61 Bn |
| 10 | Columbus Mckinnon | 587.74 Mn | 245.65 Mn | 187.91 Mn | -8.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8.40 Mn |
| Jun 30, 2026 | 33.22 Mn |
| Mar 31, 2026 | 135.81 Mn |
| Dec 31, 2025 | 386.83 Mn |
| Sep 30, 2025 | 382.84 Mn |
| Jun 30, 2025 | 380.26 Mn |
| Mar 31, 2025 | 382.16 Mn |
| Dec 31, 2024 | 388.85 Mn |
| Sep 30, 2024 | 386.89 Mn |
| Jun 30, 2024 | 403.96 Mn |
| Mar 31, 2024 | 395.33 Mn |
| Dec 31, 2023 | 387.55 Mn |
| Sep 30, 2023 | 379.83 Mn |
| Jun 30, 2023 | 366.03 Mn |
| Mar 31, 2023 | 356.76 Mn |
| Dec 31, 2022 | 346.87 Mn |
| Sep 30, 2022 | 336.84 Mn |
| Jun 30, 2022 | 324.73 Mn |
| Mar 31, 2022 | 316.34 Mn |
| Dec 31, 2021 | 308.22 Mn |
Columbus Mckinnon Retained Earnings 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=retained-earnings&ticker=CMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();