Douglas Dynamics (PLOW) Amortization - Intangibles (2010 - 2026)
Douglas Dynamics (PLOW) posted Amortization - Intangibles of $1.52 million for Q2 2026, down 2.1% from $1.55 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Douglas Dynamics (PLOW) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Douglas Dynamics was $6.12 million, down 3.8% year-over-year; for FY2025, it was $6.18 million, down 17.8% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- In prior years, Douglas Dynamics' Amortization - Intangibles was $7.52 million in FY2024 (-28.5%), $10.52 million in FY2023 (unchanged), $10.52 million in FY2022 (-1.5%) and $10.68 million in FY2021 (-2.3%).
- Quarterly Amortization - Intangibles has run from a low of $1.52 million in Q1 2026 to a high of $2.64 million in Q3 2021 over five years.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last nine quarters, with an average decline of 17.1% over the last eight quarters.
- Over the past five years, the year-over-year decline in Amortization - Intangibles ranged from 0.0% (Q1 2024) to 41.1% (Q1 2025).
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $1.52 million (Q1 2026), $1.53 million (Q4 2025) and $1.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Douglas Dynamics | 905.47 Mn | 879.47 Mn | 66.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.52 Mn |
| Mar 31, 2026 | 1.52 Mn |
| Dec 31, 2025 | 1.53 Mn |
| Sep 30, 2025 | 1.55 Mn |
| Jun 30, 2025 | 1.55 Mn |
| Mar 31, 2025 | 1.55 Mn |
| Dec 31, 2024 | 1.63 Mn |
| Sep 30, 2024 | 1.63 Mn |
| Jun 30, 2024 | 1.63 Mn |
| Mar 31, 2024 | 2.63 Mn |
| Dec 31, 2023 | 2.63 Mn |
| Sep 30, 2023 | 2.63 Mn |
| Jun 30, 2023 | 2.63 Mn |
| Mar 31, 2023 | 2.63 Mn |
| Dec 31, 2022 | 2.63 Mn |
| Sep 30, 2022 | 2.63 Mn |
| Jun 30, 2022 | 2.63 Mn |
| Mar 31, 2022 | 2.63 Mn |
| Dec 31, 2021 | 2.63 Mn |
| Sep 30, 2021 | 2.64 Mn |
API Access
Douglas Dynamics Amortization - 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=amortization-intangibles&ticker=PLOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();