Dover (DOV) Total Non-Current Liabilities (2009 - 2026)
Dover's Total Non-Current Liabilities was $5.53 billion in Q2 2026, up 5.8% from $5.23 billion a year earlier but down 0.3% from the prior quarter.
Analysis
Dover (DOV) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
From Q2 2009 onward, Dover has reported Total Non-Current Liabilities for 69 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $5.08 billion in FY2024 (-12.6%), $5.81 billion in FY2023 (-5.2%), $6.14 billion in FY2022 (+8.0%) and $5.68 billion in FY2021 (+9.3%).
- Quarterly Total Non-Current Liabilities has moved between $5.05 billion (Q1 2025) and $6.34 billion (Q1 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with an average decline of 2.0% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 13.4%); the worst was Q1 2025 (a decline of 20.3%).
- Per Business Quant data, DOV's Total Non-Current Liabilities in the three quarters before Q2 2026 was $5.55 billion (Q1 2026), $5.53 billion (Q4 2025) and $5.27 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 26.86 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 10.73 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Dover | 26.78 Bn | 20.15 Bn | 880.61 Mn | 5.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.53 Bn |
| Mar 31, 2026 | 5.55 Bn |
| Dec 31, 2025 | 5.53 Bn |
| Sep 30, 2025 | 5.27 Bn |
| Jun 30, 2025 | 5.23 Bn |
| Mar 31, 2025 | 5.05 Bn |
| Dec 31, 2024 | 5.08 Bn |
| Sep 30, 2024 | 5.75 Bn |
| Jun 30, 2024 | 5.43 Bn |
| Mar 31, 2024 | 6.31 Bn |
| Dec 31, 2023 | 5.79 Bn |
| Sep 30, 2023 | 5.47 Bn |
| Jun 30, 2023 | 5.74 Bn |
| Mar 31, 2023 | 5.83 Bn |
| Dec 31, 2022 | 6.09 Bn |
| Sep 30, 2022 | 6.12 Bn |
| Jun 30, 2022 | 5.85 Bn |
| Mar 31, 2022 | 5.60 Bn |
| Dec 31, 2021 | 5.63 Bn |
| Sep 30, 2021 | 5.39 Bn |
API Access
Dover 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=DOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DOV", "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=DOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();