Douglas Dynamics (PLOW) Selling, General & Administrative (2010 - 2026)
Douglas Dynamics (PLOW) recorded Selling, General & Administrative of $29.83 million in Q2 2026, up 37.1% from $21.75 million a year earlier and up 13.2% from the prior quarter.
Douglas Dynamics (PLOW) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Douglas Dynamics' Selling, General & Administrative came in at $105.93 million as of Jun 30, 2026, up 15.2% year-over-year; for FY2025, it came in at $94.89 million, up 3.5% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $91.68 million in FY2024 (+16.3%), $78.84 million in FY2023 (-4.1%), $82.18 million in FY2022 (+4.2%) and $78.84 million in FY2021 (+22.0%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- On a year-over-year basis, Selling, General & Administrative has increased for three consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 48.5% in Q4 2024, against a decline of 23.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.34 million (Q1 2026), $27.28 million (Q4 2025) and $22.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | - |
| 10 | Douglas Dynamics | 915.85 Mn | 889.85 Mn | 66.80 Mn | 29.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.83 Mn |
| Mar 31, 2026 | 26.34 Mn |
| Dec 31, 2025 | 27.28 Mn |
| Sep 30, 2025 | 22.47 Mn |
| Jun 30, 2025 | 21.75 Mn |
| Mar 31, 2025 | 23.39 Mn |
| Dec 31, 2024 | 21.14 Mn |
| Sep 30, 2024 | 25.69 Mn |
| Jun 30, 2024 | 23.37 Mn |
| Mar 31, 2024 | 21.49 Mn |
| Dec 31, 2023 | 14.23 Mn |
| Sep 30, 2023 | 18.00 Mn |
| Jun 30, 2023 | 24.17 Mn |
| Mar 31, 2023 | 22.44 Mn |
| Dec 31, 2022 | 18.61 Mn |
| Sep 30, 2022 | 19.18 Mn |
| Jun 30, 2022 | 23.02 Mn |
| Mar 31, 2022 | 21.37 Mn |
| Dec 31, 2021 | 19.36 Mn |
| Sep 30, 2021 | 17.61 Mn |
Douglas Dynamics Selling, General & Administrative 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=selling-general-and-administrative&ticker=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();