Douglas Dynamics (PLOW) Other Accumulated Expenses (2011 - 2026)
Douglas Dynamics' Other Accumulated Expenses came in at $17.45 million for Q3 2026, up 50.0% from $11.63 million a year earlier and up 47.5% from the prior quarter.
Douglas Dynamics (PLOW) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Douglas Dynamics' Other Accumulated Expenses was $9 million, up 37.6% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $6.54 million in FY2024 (-18.7%), $8.04 million in FY2023 (+28.5%), $6.26 million in FY2022 (-7.6%) and $6.77 million in FY2021 (+23.5%).
- The Q3 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2011.
- Year-over-year, Other Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 15.0% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2026 (growth of 50.0%), and the weakest in Q1 2023 (a decline of 26.5%).
- Business Quant data shows PLOW's Other Accumulated Expenses at $11.83 million (Q2 2026), $8.17 million (Q1 2026) and $9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn |
| 10 | Douglas Dynamics | 839.43 Mn | 818.58 Mn | 59.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.45 Mn |
| Jun 30, 2026 | 11.83 Mn |
| Mar 31, 2026 | 8.17 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 30, 2025 | 11.63 Mn |
| Jun 30, 2025 | 10.60 Mn |
| Mar 31, 2025 | 7.28 Mn |
| Dec 31, 2024 | 6.54 Mn |
| Sep 30, 2024 | 11.28 Mn |
| Jun 30, 2024 | 10.25 Mn |
| Mar 31, 2024 | 6.05 Mn |
| Dec 31, 2023 | 8.04 Mn |
| Sep 30, 2023 | 8.05 Mn |
| Jun 30, 2023 | 7.33 Mn |
| Mar 31, 2023 | 4.40 Mn |
| Dec 31, 2022 | 6.26 Mn |
| Sep 30, 2022 | 9.09 Mn |
| Jun 30, 2022 | 8.35 Mn |
| Mar 31, 2022 | 5.99 Mn |
| Dec 31, 2021 | 6.77 Mn |
Douglas Dynamics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();