Douglas Dynamics (PLOW) Non-Current Assets (2010 - 2026)
Douglas Dynamics (PLOW) recorded Non-Current Assets of $383.29 million in Q2 2026, up 11.2% from $344.72 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Douglas Dynamics (PLOW) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Douglas Dynamics reported Non-Current Assets of $360.67 million, up 2.5% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $351.76 million in FY2024 (+6.2%), $331.18 million in FY2023 (-3.7%), $343.97 million in FY2022 (-2.3%) and $352.05 million in FY2021 (-2.8%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets since Q1 2020.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 11.2% in Q2 2026, against a decline of 4.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $362.55 million (Q1 2026), $360.67 million (Q4 2025) and $346.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Douglas Dynamics | 914.70 Mn | 888.69 Mn | 66.80 Mn | 383.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 383.29 Mn |
| Mar 31, 2026 | 362.55 Mn |
| Dec 31, 2025 | 360.67 Mn |
| Sep 30, 2025 | 346.40 Mn |
| Jun 30, 2025 | 344.72 Mn |
| Mar 31, 2025 | 346.79 Mn |
| Dec 31, 2024 | 351.76 Mn |
| Sep 30, 2024 | 349.52 Mn |
| Jun 30, 2024 | 323.16 Mn |
| Mar 31, 2024 | 325.86 Mn |
| Dec 31, 2023 | 331.18 Mn |
| Sep 30, 2023 | 334.82 Mn |
| Jun 30, 2023 | 336.61 Mn |
| Mar 31, 2023 | 337.68 Mn |
| Dec 31, 2022 | 343.97 Mn |
| Sep 30, 2022 | 344.82 Mn |
| Jun 30, 2022 | 342.97 Mn |
| Mar 31, 2022 | 347.58 Mn |
| Dec 31, 2021 | 352.05 Mn |
| Sep 30, 2021 | 352.61 Mn |
API Access
Douglas Dynamics Non-Current Assets 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=non-current-assets&ticker=PLOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();