Oceaneering International (OII) Operating Expenses (2010 - 2026)
Oceaneering International (OII) reported Operating Expenses of $68.75 million for Q2 2026, down 0.7% from $69.24 million a year earlier and down 1.1% from the prior quarter.
Oceaneering International (OII) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oceaneering International's Operating Expenses came in at $271.34 million, up 6.6% year-over-year; for FY2025, it came in at $263.89 million, up 10.3% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $239.22 million in FY2024 (+9.9%), $217.64 million in FY2023 (+10.8%), $196.51 million in FY2022 (-12.4%) and $224.27 million in FY2021 (+14.6%).
- Five-year quarterly Operating Expenses spans a low of $44.08 million in Q3 2021 and a high of $91.74 million in Q4 2021.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 8.6%.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 114.1%); the low point was Q4 2022 (a decline of 47.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.48 million (Q1 2026), $66.89 million (Q4 2025) and $66.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Oceaneering International | 4.34 Bn | 1.92 Bn | 156.98 Mn | 68.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.75 Mn |
| Mar 31, 2026 | 69.48 Mn |
| Dec 31, 2025 | 66.89 Mn |
| Sep 30, 2025 | 66.22 Mn |
| Jun 30, 2025 | 69.24 Mn |
| Mar 31, 2025 | 61.54 Mn |
| Dec 31, 2024 | 64.06 Mn |
| Sep 30, 2024 | 59.63 Mn |
| Jun 30, 2024 | 59.85 Mn |
| Mar 31, 2024 | 55.69 Mn |
| Dec 31, 2023 | 58.18 Mn |
| Sep 30, 2023 | 56.77 Mn |
| Jun 30, 2023 | 51.88 Mn |
| Mar 31, 2023 | 50.82 Mn |
| Dec 31, 2022 | 47.93 Mn |
| Sep 30, 2022 | 48.88 Mn |
| Jun 30, 2022 | 53.19 Mn |
| Mar 31, 2022 | 46.52 Mn |
| Dec 31, 2021 | 91.74 Mn |
| Sep 30, 2021 | 44.08 Mn |
Oceaneering International 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=OII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();