Douglas Dynamics (PLOW) Total Non-Current Liabilities (2010 - 2026)
Douglas Dynamics (PLOW) reported Total Non-Current Liabilities of $470.69 million for Q3 2026, up 13.7% from $413.9 million a year earlier and up 12.1% from the prior quarter.
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Analysis
Douglas Dynamics (PLOW) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Douglas Dynamics posted Total Non-Current Liabilities of $339.19 million, up 6.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $319.85 million in FY2024 (-10.1%), $355.72 million in FY2023 (+0.4%), $354.24 million in FY2022 (+1.1%) and $350.34 million in FY2021 (-3.4%).
- The Q3 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2016.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 2.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2026 (growth of 13.7%); the low point was Q4 2024 (a decline of 10.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $420.05 million (Q2 2026), $345.34 million (Q1 2026) and $339.19 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | - |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 18.30 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Douglas Dynamics | 839.43 Mn | 818.58 Mn | 59.83 Mn | 470.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 470.69 Mn |
| Jun 30, 2026 | 420.05 Mn |
| Mar 31, 2026 | 345.34 Mn |
| Dec 31, 2025 | 339.19 Mn |
| Sep 30, 2025 | 413.90 Mn |
| Jun 30, 2025 | 392.54 Mn |
| Mar 31, 2025 | 356.80 Mn |
| Dec 31, 2024 | 319.85 Mn |
| Sep 30, 2024 | 398.27 Mn |
| Jun 30, 2024 | 373.32 Mn |
| Mar 31, 2024 | 354.59 Mn |
| Dec 31, 2023 | 355.72 Mn |
| Sep 30, 2023 | 428.68 Mn |
| Jun 30, 2023 | 397.72 Mn |
| Mar 31, 2023 | 363.89 Mn |
| Dec 31, 2022 | 354.24 Mn |
| Sep 30, 2022 | 419.28 Mn |
| Jun 30, 2022 | 389.25 Mn |
| Mar 31, 2022 | 339.26 Mn |
| Dec 31, 2021 | 350.34 Mn |
API Access
Douglas Dynamics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PLOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();