Douglas Dynamics (PLOW) EBITDA (2010 - 2026)
Douglas Dynamics' EBITDA was $35.17 million in Q3 2026, up 95.2% from $18.02 million a year earlier but down 10.7% from the prior quarter.
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Analysis
Douglas Dynamics (PLOW) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Douglas Dynamics' EBITDA was $111.74 million through Sep 30, 2026, up 34.4% year-over-year; for FY2025, it was $89.46 million, down 16.6% from FY2024.
- In earlier years, EBITDA was $107.3 million in FY2024 (+59.8%), $67.16 million in FY2023 (-16.2%), $80.18 million in FY2022 (+10.8%) and $72.35 million in FY2021.
- Quarterly EBITDA has moved between -$8.3 million (Q1 2023) and $50.31 million (Q3 2024) over five years.
- Compared with a year earlier, EBITDA was higher in three of the last seven quarters, with growth averaging 21.5%.
- The best year-over-year quarter for EBITDA over five years was Q3 2024 (growth of 195.4%); the worst was Q1 2022 (a decline of 73.8%).
- Per Business Quant data, PLOW's EBITDA in the three quarters before Q3 2026 was $39.37 million (Q2 2026), $13.87 million (Q1 2026) and $23.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 1.69 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Douglas Dynamics | 839.43 Mn | 818.58 Mn | 59.83 Mn | 35.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.17 Mn |
| Jun 30, 2026 | 39.37 Mn |
| Mar 31, 2026 | 13.87 Mn |
| Dec 31, 2025 | 23.32 Mn |
| Sep 30, 2025 | 18.02 Mn |
| Jun 30, 2025 | 40.93 Mn |
| Mar 31, 2025 | 7.19 Mn |
| Dec 31, 2024 | 17.01 Mn |
| Sep 30, 2024 | 50.31 Mn |
| Jun 30, 2024 | 40.91 Mn |
| Mar 31, 2024 | -930,000.00 |
| Dec 31, 2023 | 18.27 Mn |
| Sep 30, 2023 | 17.03 Mn |
| Jun 30, 2023 | 40.15 Mn |
| Mar 31, 2023 | -8.30 Mn |
| Dec 31, 2022 | 22.09 Mn |
| Sep 30, 2022 | 24.81 Mn |
| Jun 30, 2022 | 30.91 Mn |
| Mar 31, 2022 | 2.37 Mn |
| Dec 31, 2021 | 18.20 Mn |
API Access
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_KEYimport 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();