Douglas Dynamics (PLOW) Cost of Revenue (2010 - 2026)
Douglas Dynamics' Cost of Revenue came in at $158.19 million for Q3 2026, up 27.6% from $124.01 million a year earlier and up 7.0% from the prior quarter.
Douglas Dynamics (PLOW) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Douglas Dynamics reported Cost of Revenue of $542.46 million, up 19.8% year-over-year; for FY2025, it came in at $481.37 million, up 14.2% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $421.67 million in FY2024 (-2.8%), $433.91 million in FY2023 (-6.6%), $464.61 million in FY2022 (+16.3%) and $399.58 million in FY2021 (+13.6%).
- The Q3 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 14.8% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2022 (growth of 28.7%), and the weakest in Q4 2023 (a decline of 14.1%).
- Business Quant data shows PLOW's Cost of Revenue at $147.85 million (Q2 2026), $100.03 million (Q1 2026) and $136.4 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 272.80 Bn | 244.11 Bn | 7.35 Bn | 13.33 Bn |
| 2 | Amphenol | 198.14 Bn | 192.84 Bn | 4.02 Bn | 6.21 Bn |
| 3 | Deere | 187.87 Bn | 155.97 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 140.20 Bn | 137.13 Bn | 3.11 Bn | 5.84 Bn |
| 5 | Parker-Hannifin | 120.98 Bn | 118.87 Bn | 2.26 Bn | 3.73 Bn |
| 6 | 3M | 98.40 Bn | 79.84 Bn | 2.78 Bn | 3.80 Bn |
| 7 | Emerson Electric | 95.50 Bn | 88.24 Bn | 2.66 Bn | 2.22 Bn |
| 8 | Illinois Tool Works | 82.34 Bn | 79.02 Bn | 1.91 Bn | 2.33 Bn |
| 9 | Vertiv Holdings | 76.83 Bn | 65.68 Bn | 1.64 Bn | 2.67 Bn |
| 10 | Douglas Dynamics | 869.08 Mn | 848.24 Mn | 59.83 Mn | 158.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 158.19 Mn |
| Jun 30, 2026 | 147.85 Mn |
| Mar 31, 2026 | 100.03 Mn |
| Dec 31, 2025 | 136.40 Mn |
| Sep 30, 2025 | 124.01 Mn |
| Jun 30, 2025 | 134.03 Mn |
| Mar 31, 2025 | 86.93 Mn |
| Dec 31, 2024 | 107.81 Mn |
| Sep 30, 2024 | 98.52 Mn |
| Jun 30, 2024 | 138.60 Mn |
| Mar 31, 2024 | 76.74 Mn |
| Dec 31, 2023 | 104.74 Mn |
| Sep 30, 2023 | 111.99 Mn |
| Jun 30, 2023 | 145.90 Mn |
| Mar 31, 2023 | 71.27 Mn |
| Dec 31, 2022 | 121.92 Mn |
| Sep 30, 2022 | 124.83 Mn |
| Jun 30, 2022 | 136.33 Mn |
| Mar 31, 2022 | 81.54 Mn |
| Dec 31, 2021 | 116.76 Mn |
Douglas Dynamics Cost of Revenue 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=cost-of-revenue&ticker=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();