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 | 268.42 Bn | 239.73 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 995.40 Mn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Dover | 28.50 Bn | 21.73 Bn | 903.43 Mn | 484.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 484.24 Mn |
| 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 |
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();