Dover (DOV) Operating Expenses (2009 - 2026)
Dover (DOV) reported Operating Expenses of $488.82 million for Q2 2026, up 5.4% from $463.67 million a year earlier but down 0.7% from the prior quarter.
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Analysis
Dover (DOV) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dover's Operating Expenses came in at $1.91 billion, up 6.7% year-over-year; for FY2025, it came in at $1.84 billion, up 5.3% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.75 billion in FY2024 (+6.3%), $1.65 billion in FY2023 (+1.4%), $1.63 billion in FY2022 (-3.7%) and $1.69 billion in FY2021 (+9.6%).
- Five-year quarterly Operating Expenses spans a low of $354.7 million in Q4 2022 and a high of $492.23 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 6.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 16.7%); the low point was Q4 2022 (a decline of 19.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $492.23 million (Q1 2026), $475.51 million (Q4 2025) and $456.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.65 Bn | 312.35 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 196.53 Bn | 191.11 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 170.38 Bn | 138.47 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 153.60 Bn | 150.79 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 121.45 Bn | 119.57 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.83 Bn | 84.57 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 89.08 Bn | 70.52 Bn | 2.78 Bn | 5.03 Bn |
| 8 | Vertiv Holdings | 82.28 Bn | 72.90 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.39 Bn | 75.95 Bn | 1.90 Bn | - |
| 10 | Dover | 26.79 Bn | 20.16 Bn | 880.61 Mn | 488.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 488.82 Mn |
| Mar 31, 2026 | 492.23 Mn |
| Dec 31, 2025 | 475.51 Mn |
| Sep 30, 2025 | 456.44 Mn |
| Jun 30, 2025 | 463.67 Mn |
| Mar 31, 2025 | 449.19 Mn |
| Dec 31, 2024 | 450.66 Mn |
| Sep 30, 2024 | 429.57 Mn |
| Jun 30, 2024 | 429.06 Mn |
| Mar 31, 2024 | 442.98 Mn |
| Dec 31, 2023 | 413.98 Mn |
| Sep 30, 2023 | 402.84 Mn |
| Jun 30, 2023 | 434.34 Mn |
| Mar 31, 2023 | 432.41 Mn |
| Dec 31, 2022 | 354.70 Mn |
| Sep 30, 2022 | 402.34 Mn |
| Jun 30, 2022 | 424.43 Mn |
| Mar 31, 2022 | 443.84 Mn |
| Dec 31, 2021 | 438.69 Mn |
| Sep 30, 2021 | 412.55 Mn |
API Access
Dover Operating Expenses 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=operating-expenses&ticker=DOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();