Dover (DOV) EBITDA (2009 - 2026)
Dover (DOV) posted EBITDA of $488.6 million for Q2 2026, up 8.8% from $448.98 million a year earlier and up 21.1% from the prior quarter.
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Analysis
Dover (DOV) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Dover was $1.81 billion, up 10.9% year-over-year; for FY2025, it was $1.75 billion, up 13.5% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Dover's EBITDA was $1.54 billion in FY2024 (+1.3%), $1.52 billion in FY2023 (-3.2%), $1.58 billion in FY2022 (+0.2%) and $1.57 billion in FY2021 (+29.7%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased in each of the last six quarters, with growth averaging 8.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2023, with growth of 20.3%; the weakest was Q1 2024, with a decline of 14.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $403.33 million (Q1 2026), $444.62 million (Q4 2025) and $475.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 1.25 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 754.30 Mn |
| 10 | Dover | 26.58 Bn | 19.95 Bn | 880.61 Mn | 488.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 488.60 Mn |
| Mar 31, 2026 | 403.33 Mn |
| Dec 31, 2025 | 444.62 Mn |
| Sep 30, 2025 | 475.61 Mn |
| Jun 30, 2025 | 448.98 Mn |
| Mar 31, 2025 | 383.73 Mn |
| Dec 31, 2024 | 381.73 Mn |
| Sep 30, 2024 | 420.29 Mn |
| Jun 30, 2024 | 406.21 Mn |
| Mar 31, 2024 | 335.98 Mn |
| Dec 31, 2023 | 382.45 Mn |
| Sep 30, 2023 | 407.38 Mn |
| Jun 30, 2023 | 403.29 Mn |
| Mar 31, 2023 | 392.50 Mn |
| Dec 31, 2022 | 317.88 Mn |
| Sep 30, 2022 | 446.93 Mn |
| Jun 30, 2022 | 432.14 Mn |
| Mar 31, 2022 | 378.35 Mn |
| Dec 31, 2021 | 354.69 Mn |
| Sep 30, 2021 | 414.94 Mn |
API Access
Dover EBITDA 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=ebitda&ticker=DOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();