Douglas Dynamics (PLOW) Shares Outstanding (Entity) (2010 - 2026)
Douglas Dynamics (PLOW) reported Shares Outstanding (Entity) of 23.08 million for Q3 2026, up 0.2% from 23.04 million a year earlier and unchanged from the prior quarter.
Douglas Dynamics (PLOW) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Douglas Dynamics posted Shares Outstanding (Entity) of 23.07 million, down 0.1% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 23.09 million in FY2024 (+0.5%), 22.98 million in FY2023 (+0.4%), 22.89 million in FY2022 (-0.4%) and 22.98 million in FY2021 (+0.5%).
- Five-year quarterly Shares Outstanding (Entity) spans a low of 22.89 million in Q2 2022 and a high of 23.21 million in Q1 2025.
- Year over year, Shares Outstanding (Entity) gained in four of the last eight quarters, with an average year-over-year change of 0.0%.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q1 2024 (growth of 0.6%); the low point was Q2 2022 (a decline of 0.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 23.07 million (Q2 2026), 23.13 million (Q1 2026) and 23.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 457.60 Mn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | - |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 388.50 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 516.73 Mn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 557.80 Mn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 284.20 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 385.03 Mn |
| 10 | Douglas Dynamics | 839.43 Mn | 818.58 Mn | 59.83 Mn | 23.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.08 Mn |
| Jun 30, 2026 | 23.07 Mn |
| Mar 31, 2026 | 23.13 Mn |
| Dec 31, 2025 | 23.07 Mn |
| Sep 30, 2025 | 23.04 Mn |
| Jun 30, 2025 | 23.04 Mn |
| Mar 31, 2025 | 23.21 Mn |
| Dec 31, 2024 | 23.09 Mn |
| Sep 30, 2024 | 23.09 Mn |
| Jun 30, 2024 | 23.09 Mn |
| Mar 31, 2024 | 23.09 Mn |
| Dec 31, 2023 | 22.98 Mn |
| Sep 30, 2023 | 22.98 Mn |
| Jun 30, 2023 | 22.98 Mn |
| Mar 31, 2023 | 22.96 Mn |
| Dec 31, 2022 | 22.89 Mn |
| Sep 30, 2022 | 22.89 Mn |
| Jun 30, 2022 | 22.89 Mn |
| Mar 31, 2022 | 22.98 Mn |
| Dec 31, 2021 | 22.98 Mn |
Douglas Dynamics Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();