Douglas Dynamics (PLOW) Retained Earnings (2010 - 2026)
Douglas Dynamics (PLOW) posted Retained Earnings of $139.15 million for Q3 2026, up 37.0% from $101.54 million a year earlier and up 11.4% from the prior quarter.
Douglas Dynamics (PLOW) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Douglas Dynamics' Retained Earnings came in at $107.38 million, up 21.4% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In prior years, Douglas Dynamics' Retained Earnings was $88.42 million in FY2024 (+48.0%), $59.75 million in FY2023 (-5.9%), $63.46 million in FY2022 (+22.3%) and $51.88 million in FY2021 (+8.7%).
- The Q3 2026 figure stands as the highest quarterly Retained Earnings since Q1 2020.
- On a year-over-year basis, Retained Earnings has increased in each of the last 11 quarters, with growth averaging 40.3% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q1 2025, with growth of 82.7%; the weakest was Q4 2023, with a decline of 5.9%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $124.91 million (Q2 2026), $106.63 million (Q1 2026) and $107.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 73.43 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 13.09 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 62.17 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 12.18 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 25.12 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 39.59 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 41.58 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 31.18 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 2.61 Bn |
| 10 | Douglas Dynamics | 839.43 Mn | 818.58 Mn | 59.83 Mn | 139.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 139.15 Mn |
| Jun 30, 2026 | 124.91 Mn |
| Mar 31, 2026 | 106.63 Mn |
| Dec 31, 2025 | 107.38 Mn |
| Sep 30, 2025 | 101.54 Mn |
| Jun 30, 2025 | 100.60 Mn |
| Mar 31, 2025 | 81.55 Mn |
| Dec 31, 2024 | 88.42 Mn |
| Sep 30, 2024 | 87.47 Mn |
| Jun 30, 2024 | 62.12 Mn |
| Mar 31, 2024 | 44.64 Mn |
| Dec 31, 2023 | 59.75 Mn |
| Sep 30, 2023 | 59.42 Mn |
| Jun 30, 2023 | 60.51 Mn |
| Mar 31, 2023 | 43.39 Mn |
| Dec 31, 2022 | 63.46 Mn |
| Sep 30, 2022 | 58.71 Mn |
| Jun 30, 2022 | 52.18 Mn |
| Mar 31, 2022 | 41.23 Mn |
| Dec 31, 2021 | 51.88 Mn |
Douglas Dynamics 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=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "PLOW", "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=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();