Douglas Dynamics (PLOW) Non-Current Deferred Tax Liability (2010 - 2026)
Douglas Dynamics (PLOW) posted Non-Current Deferred Tax Liability of $34.1 million for Q2 2026, up 38.0% from $24.72 million a year earlier and up 1.7% from the prior quarter.
Douglas Dynamics (PLOW) Non-Current Deferred Tax Liability (2010 - 2026) Analysis & Trends
At the end of FY2025, Douglas Dynamics' Non-Current Deferred Tax Liability came in at $33.1 million, up 34.7% from FY2024.
- Annual Non-Current Deferred Tax Liability shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, Douglas Dynamics' Non-Current Deferred Tax Liability was $24.57 million in FY2024 (-11.9%), $27.9 million in FY2023 (-6.5%), $29.84 million in FY2022 (+0.2%) and $29.79 million in FY2021 (+11.6%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Deferred Tax Liability since Q1 2020.
- On a year-over-year basis, Non-Current Deferred Tax Liability has increased in each of the last four quarters, with growth averaging 10.6% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Deferred Tax Liability in the past five years was Q2 2026, with growth of 38.0%; the weakest was Q1 2025, with a decline of 12.1%.
- According to Business Quant data, Non-Current Deferred Tax Liability for the three prior quarters was $33.54 million (Q1 2026), $33.1 million (Q4 2025) and $30.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Douglas Dynamics | 905.47 Mn | 879.47 Mn | 66.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.10 Mn |
| Mar 31, 2026 | 33.54 Mn |
| Dec 31, 2025 | 33.10 Mn |
| Sep 30, 2025 | 30.23 Mn |
| Jun 30, 2025 | 24.72 Mn |
| Mar 31, 2025 | 24.61 Mn |
| Dec 31, 2024 | 24.57 Mn |
| Sep 30, 2024 | 25.42 Mn |
| Jun 30, 2024 | 27.66 Mn |
| Mar 31, 2024 | 28.00 Mn |
| Dec 31, 2023 | 27.90 Mn |
| Sep 30, 2023 | 27.66 Mn |
| Jun 30, 2023 | 28.58 Mn |
| Mar 31, 2023 | 28.71 Mn |
| Dec 31, 2022 | 29.84 Mn |
| Sep 30, 2022 | 30.68 Mn |
| Jun 30, 2022 | 30.84 Mn |
| Mar 31, 2022 | 30.77 Mn |
| Dec 31, 2021 | 29.79 Mn |
| Sep 30, 2021 | 27.55 Mn |
Douglas Dynamics Non-Current Deferred Tax Liability 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-deferred-tax-liability&ticker=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deferred-tax-liability", "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-deferred-tax-liability&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();