Oceaneering International (OII) Depreciation and Depletion (2019 - 2026)
Oceaneering International (OII) posted Depreciation and Depletion of $24 million for Q3 2026, up 9.1% from $22 million a year earlier and up 4.3% from the prior quarter.
Oceaneering International (OII) Depreciation and Depletion (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation and Depletion at Oceaneering International was $92 million, up 7.0% 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%).
- The Q3 2026 figure stands as the highest quarterly Depreciation and Depletion since Q4 2023.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last three quarters, with growth averaging 0.4% over the last eight quarters.
- 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 (Q2 2026), $23 million (Q1 2026) and $22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | - |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 140.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 97.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 95.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 84.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 39.80 Mn |
| 10 | Oceaneering International | 3.49 Bn | 831.77 Mn | 164.56 Mn | 24.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.00 Mn |
| 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 |
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();