Douglas Dynamics (PLOW) Accumulated Expenses (2010 - 2026)
Douglas Dynamics (PLOW) reported Accumulated Expenses of $43.22 million for Q3 2026, up 31.4% from $32.9 million a year earlier and up 19.8% from the prior quarter.
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Analysis
Douglas Dynamics (PLOW) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Douglas Dynamics posted Accumulated Expenses of $33.41 million, up 27.6% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $26.18 million in FY2024 (+1.4%), $25.82 million in FY2023 (-15.3%), $30.48 million in FY2022 (-15.6%) and $36.13 million in FY2021 (+17.2%).
- The Q3 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- Year over year, Accumulated Expenses has now increased in each of the last six quarters, with growth averaging 12.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2026 (growth of 31.4%); the low point was Q1 2023 (a decline of 18.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $36.06 million (Q2 2026), $26.13 million (Q1 2026) and $33.41 million (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.22 Mn |
| Jun 30, 2026 | 36.06 Mn |
| Mar 31, 2026 | 26.13 Mn |
| Dec 31, 2025 | 33.41 Mn |
| Sep 30, 2025 | 32.90 Mn |
| Jun 30, 2025 | 31.03 Mn |
| Mar 31, 2025 | 23.53 Mn |
| Dec 31, 2024 | 26.18 Mn |
| Sep 30, 2024 | 31.20 Mn |
| Jun 30, 2024 | 29.78 Mn |
| Mar 31, 2024 | 23.58 Mn |
| Dec 31, 2023 | 25.82 Mn |
| Sep 30, 2023 | 29.01 Mn |
| Jun 30, 2023 | 30.28 Mn |
| Mar 31, 2023 | 22.09 Mn |
| Dec 31, 2022 | 30.48 Mn |
| Sep 30, 2022 | 33.66 Mn |
| Jun 30, 2022 | 32.14 Mn |
| Mar 31, 2022 | 27.24 Mn |
| Dec 31, 2021 | 36.13 Mn |
API Access
Douglas Dynamics 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=accumulated-expenses&ticker=PLOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();