Dover (DOV) Depreciation and Depletion (2014 - 2026)
Dover (DOV) posted Depreciation and Depletion of $43.36 million for Q2 2026, up 0.5% from $43.16 million a year earlier but down 0.8% from the prior quarter.
Dover (DOV) Depreciation and Depletion (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Dover was $174.51 million, up 9.1% year-over-year; for FY2025, it came in at $169.25 million, up 9.6% from FY2024.
- Annual Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In prior years, Dover's Depreciation and Depletion was $154.45 million in FY2024 (+2.1%), $151.27 million in FY2023 (+5.3%), $143.72 million in FY2022 (-2.4%) and $147.31 million in FY2021 (+5.2%).
- Quarterly Depreciation and Depletion has run from a low of $32.45 million in Q4 2022 to a high of $44.73 million in Q4 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last seven quarters, with growth averaging 6.9% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2023, with growth of 16.0%; the weakest was Q4 2022, with a decline of 10.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $43.72 million (Q1 2026), $44.73 million (Q4 2025) and $42.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | - |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | - |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 89.00 Mn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 96.00 Mn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | 82.00 Mn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 39.40 Mn |
| 10 | Dover | 26.32 Bn | 19.69 Bn | 880.61 Mn | 43.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.36 Mn |
| Mar 31, 2026 | 43.72 Mn |
| Dec 31, 2025 | 44.73 Mn |
| Sep 30, 2025 | 42.70 Mn |
| Jun 30, 2025 | 43.16 Mn |
| Mar 31, 2025 | 38.67 Mn |
| Dec 31, 2024 | 39.24 Mn |
| Sep 30, 2024 | 38.83 Mn |
| Jun 30, 2024 | 38.55 Mn |
| Mar 31, 2024 | 37.83 Mn |
| Dec 31, 2023 | 37.65 Mn |
| Sep 30, 2023 | 39.18 Mn |
| Jun 30, 2023 | 39.84 Mn |
| Mar 31, 2023 | 37.53 Mn |
| Dec 31, 2022 | 32.45 Mn |
| Sep 30, 2022 | 36.89 Mn |
| Jun 30, 2022 | 36.57 Mn |
| Mar 31, 2022 | 37.81 Mn |
| Dec 31, 2021 | 36.16 Mn |
| Sep 30, 2021 | 36.91 Mn |
Dover Depreciation and Depletion 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=depreciation-and-depletion&ticker=DOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();