Oceaneering International (OII) Depreciation and Depletion (2019 - 2026)
Oceaneering International (OII) posted Depreciation and Depletion of $23 million for Q2 2026, up 9.5% from $21 million a year earlier and unchanged from the prior quarter.
Oceaneering International (OII) Depreciation and Depletion (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Oceaneering International was $90 million, up 4.7% year-over-year; for FY2025, it was $86 million, down 3.4% from FY2024.
- Annual Depreciation and Depletion has declined for six consecutive years, with a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- In prior years, Oceaneering International's Depreciation and Depletion was $89 million in FY2024 (-10.1%), $99 million in FY2023 (-12.4%), $113 million in FY2022 (-16.9%) and $136 million in FY2021 (-20.0%).
- Quarterly Depreciation and Depletion has run from a low of $21 million in Q1 2025 to a high of $33 million in Q4 2021 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in two of the last eight quarters, with an average decline of 1.8%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2026, with growth of 9.5%; the weakest was Q4 2021, with a decline of 28.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $23 million (Q1 2026), $22 million (Q4 2025) and $22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Oceaneering International | 4.41 Bn | 1.98 Bn | 156.98 Mn | 23.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.00 Mn |
| Mar 31, 2026 | 23.00 Mn |
| Dec 31, 2025 | 22.00 Mn |
| Sep 30, 2025 | 22.00 Mn |
| Jun 30, 2025 | 21.00 Mn |
| Mar 31, 2025 | 21.00 Mn |
| Dec 31, 2024 | 22.00 Mn |
| Sep 30, 2024 | 22.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 25.00 Mn |
| Sep 30, 2023 | 24.00 Mn |
| Jun 30, 2023 | 24.00 Mn |
| Mar 31, 2023 | 26.00 Mn |
| Dec 31, 2022 | 26.00 Mn |
| Sep 30, 2022 | 28.00 Mn |
| Jun 30, 2022 | 29.00 Mn |
| Mar 31, 2022 | 30.00 Mn |
| Dec 31, 2021 | 33.00 Mn |
| Sep 30, 2021 | 33.00 Mn |
Oceaneering International 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=OII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "OII", "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=OII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();