Oceaneering International (OII) EBITDA (2010 - 2026)
Oceaneering International's EBITDA came in at $115.67 million for Q2 2026, up 10.6% from $104.59 million a year earlier and up 36.1% from the prior quarter.
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Analysis
Oceaneering International (OII) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Oceaneering International reported EBITDA of $404.92 million, up 0.7% year-over-year; for FY2025, it was $406.81 million, up 16.3% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 37.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $349.71 million in FY2024 (+22.2%), $286.29 million in FY2023 (+23.5%), $231.83 million in FY2022 (+29.1%) and $179.52 million in FY2021 (+116.8%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q3 2015.
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 16.8%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 230.1%), and the weakest in Q4 2021 (a decline of 54.8%).
- Business Quant data shows OII's EBITDA at $84.96 million (Q1 2026), $91.67 million (Q4 2025) and $112.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Oceaneering International | 4.34 Bn | 1.92 Bn | 156.98 Mn | 115.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.67 Mn |
| Mar 31, 2026 | 84.96 Mn |
| Dec 31, 2025 | 91.67 Mn |
| Sep 30, 2025 | 112.63 Mn |
| Jun 30, 2025 | 104.59 Mn |
| Mar 31, 2025 | 97.92 Mn |
| Dec 31, 2024 | 103.02 Mn |
| Sep 30, 2024 | 96.60 Mn |
| Jun 30, 2024 | 86.34 Mn |
| Mar 31, 2024 | 63.75 Mn |
| Dec 31, 2023 | 72.95 Mn |
| Sep 30, 2023 | 83.53 Mn |
| Jun 30, 2023 | 75.25 Mn |
| Mar 31, 2023 | 54.57 Mn |
| Dec 31, 2022 | 70.02 Mn |
| Sep 30, 2022 | 77.12 Mn |
| Jun 30, 2022 | 53.71 Mn |
| Mar 31, 2022 | 30.98 Mn |
| Dec 31, 2021 | 21.21 Mn |
| Sep 30, 2021 | 50.01 Mn |
API Access
Oceaneering International EBITDA 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=ebitda&ticker=OII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();