Oceaneering International (OII) EBITDA Margin (2010 - 2026)
Oceaneering International (OII) recorded EBITDA Margin of 15.06% in Q2 2026, up 0.08 percentage points from 14.98% a year earlier and up 2.79 percentage points from the prior quarter.
Oceaneering International (OII) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Oceaneering International's EBITDA Margin came in at 14.10% as of Jun 30, 2026, down 0.44 percentage points year-over-year; for FY2025, it came in at 14.61%, up 1.47 percentage points from FY2024.
- Annual EBITDA Margin has increased for six straight years, with a five-year change of +10.08 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 13.14% in FY2024 (+1.33 pp), 11.81% in FY2023 (+0.59 pp), 11.22% in FY2022 (+1.62 pp) and 9.60% in FY2021 (+5.07 pp).
- Quarterly EBITDA Margin has ranged from 4.55% in Q4 2021 to 15.16% in Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in six of the last eight quarters, with an average year-over-year change of +1.04 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 8.51 percentage points in Q4 2022, against a drop of 6.52 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.27% (Q1 2026), 13.71% (Q4 2025) and 15.16% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 27.98% |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 34.66% |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 28.77% |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 23.04% |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 28.95% |
| 10 | Oceaneering International | 4.38 Bn | 1.95 Bn | 156.98 Mn | 15.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.06% |
| Mar 31, 2026 | 12.27% |
| Dec 31, 2025 | 13.71% |
| Sep 30, 2025 | 15.16% |
| Jun 30, 2025 | 14.98% |
| Mar 31, 2025 | 14.52% |
| Dec 31, 2024 | 14.44% |
| Sep 30, 2024 | 14.21% |
| Jun 30, 2024 | 12.91% |
| Mar 31, 2024 | 10.64% |
| Dec 31, 2023 | 11.14% |
| Sep 30, 2023 | 13.15% |
| Jun 30, 2023 | 12.58% |
| Mar 31, 2023 | 10.16% |
| Dec 31, 2022 | 13.06% |
| Sep 30, 2022 | 13.78% |
| Jun 30, 2022 | 10.25% |
| Mar 31, 2022 | 6.94% |
| Dec 31, 2021 | 4.55% |
| Sep 30, 2021 | 10.71% |
Oceaneering International EBITDA Margin 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-margin&ticker=OII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=OII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();