Douglas Dynamics (PLOW) Goodwill & Intangibles (2010 - 2026)
Douglas Dynamics (PLOW) posted Goodwill & Intangibles of $228.5 million for Q3 2026, up 2.9% from $222.03 million a year earlier but down 0.7% from the prior quarter.
Douglas Dynamics (PLOW) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Douglas Dynamics' Goodwill & Intangibles came in at $233.05 million, up 2.8% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Douglas Dynamics' Goodwill & Intangibles was $226.68 million in FY2024 (-3.2%), $234.2 million in FY2023 (-4.3%), $244.72 million in FY2022 (-4.1%) and $255.24 million in FY2021 (-4.0%).
- Quarterly Goodwill & Intangibles has run from a low of $222.03 million in Q3 2025 to a high of $255.24 million in Q4 2021 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last four quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q3 2026, with growth of 2.9%; the weakest was Q1 2024, with a decline of 4.3%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $230.01 million (Q2 2026), $231.53 million (Q1 2026) and $233.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn |
| 10 | Douglas Dynamics | 839.43 Mn | 818.58 Mn | 59.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 228.50 Mn |
| Jun 30, 2026 | 230.01 Mn |
| Mar 31, 2026 | 231.53 Mn |
| Dec 31, 2025 | 233.05 Mn |
| Sep 30, 2025 | 222.03 Mn |
| Jun 30, 2025 | 223.58 Mn |
| Mar 31, 2025 | 225.13 Mn |
| Dec 31, 2024 | 226.68 Mn |
| Sep 30, 2024 | 228.31 Mn |
| Jun 30, 2024 | 229.94 Mn |
| Mar 31, 2024 | 231.57 Mn |
| Dec 31, 2023 | 234.20 Mn |
| Sep 30, 2023 | 236.83 Mn |
| Jun 30, 2023 | 239.46 Mn |
| Mar 31, 2023 | 242.09 Mn |
| Dec 31, 2022 | 244.72 Mn |
| Sep 30, 2022 | 247.35 Mn |
| Jun 30, 2022 | 249.98 Mn |
| Mar 31, 2022 | 252.61 Mn |
| Dec 31, 2021 | 255.24 Mn |
Douglas Dynamics Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();