Douglas Dynamics (PLOW) EBITDA (2010 - 2026)
Douglas Dynamics' EBITDA was $39.27 million in Q2 2026, down 3.8% from $40.82 million a year earlier but up 185.2% from the prior quarter.
Douglas Dynamics (PLOW) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Douglas Dynamics' EBITDA was $94.16 million through Jun 30, 2026, down 18.0% year-over-year; for FY2025, it was $88.97 million, down 16.5% from FY2024.
- In earlier years, EBITDA was $106.6 million in FY2024 (+60.1%), $66.57 million in FY2023 (-16.5%), $79.69 million in FY2022 (+11.5%) and $71.45 million in FY2021.
- Quarterly EBITDA has moved between -$8.44 million (Q1 2023) and $50.13 million (Q3 2024) over five years.
- Compared with a year earlier, EBITDA was higher in four of the last seven quarters, with growth averaging 36.6%.
- The best year-over-year quarter for EBITDA over five years was Q3 2024 (growth of 197.0%); the worst was Q1 2022 (a decline of 74.0%).
- Per Business Quant data, PLOW's EBITDA in the three quarters before Q2 2026 was $13.77 million (Q1 2026), $23.21 million (Q4 2025) and $17.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Douglas Dynamics | 914.70 Mn | 888.69 Mn | 66.80 Mn | 39.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.27 Mn |
| Mar 31, 2026 | 13.77 Mn |
| Dec 31, 2025 | 23.21 Mn |
| Sep 30, 2025 | 17.91 Mn |
| Jun 30, 2025 | 40.82 Mn |
| Mar 31, 2025 | 7.03 Mn |
| Dec 31, 2024 | 16.83 Mn |
| Sep 30, 2024 | 50.13 Mn |
| Jun 30, 2024 | 40.71 Mn |
| Mar 31, 2024 | -1.08 Mn |
| Dec 31, 2023 | 18.13 Mn |
| Sep 30, 2023 | 16.88 Mn |
| Jun 30, 2023 | 40.00 Mn |
| Mar 31, 2023 | -8.44 Mn |
| Dec 31, 2022 | 21.97 Mn |
| Sep 30, 2022 | 24.69 Mn |
| Jun 30, 2022 | 30.78 Mn |
| Mar 31, 2022 | 2.25 Mn |
| Dec 31, 2021 | 18.07 Mn |
| Sep 30, 2021 | 15.41 Mn |
Douglas Dynamics EBITDA 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=ebitda&ticker=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();