Helmerich & Payne (HP) EBITDA Margin (2009 - 2026)
Helmerich & Payne (HP) recorded EBITDA Margin of 35.67% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 30.75 percentage points from 4.92% a year earlier and up 20.25 percentage points from the prior quarter.
Helmerich & Payne (HP) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Helmerich & Payne's EBITDA Margin came in at 20.58% as of Jun 30, 2026, up 1.63 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 16.78%, down 14.23 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +24.57 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA Margin came in at 31.01% in FY2024 (-2.09 pp), 33.09% in FY2023 (+11.31 pp), 21.78% in FY2022 (+22.51 pp) and -0.72% in FY2021 (+7.07 pp).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA Margin since fiscal Q2 2016.
- On a year-over-year basis, EBITDA Margin rose in two of the last eight quarters, with an average year-over-year change of -5.21 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 35.58 percentage points in fiscal Q2 2022, against a drop of 25.36 percentage points in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 15.42% (Q2 2026), 12.00% (Q1 2026) and 18.52% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 19.87% |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 17.68% |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | -54.16% |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 18.80% |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 13.40% |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 23.63% |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 16.11% |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 31.06% |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 17.75% |
| 10 | Helmerich & Payne | 3.75 Bn | 2.92 Bn | 349.94 Mn | 35.67% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.67% |
| Mar 31, 2026 | 15.42% |
| Dec 31, 2025 | 12.00% |
| Sep 30, 2025 | 18.52% |
| Jun 30, 2025 | 4.92% |
| Mar 31, 2025 | 19.67% |
| Dec 31, 2024 | 28.05% |
| Sep 30, 2024 | 30.06% |
| Jun 30, 2024 | 30.28% |
| Mar 31, 2024 | 31.36% |
| Dec 31, 2023 | 32.11% |
| Sep 30, 2023 | 29.52% |
| Jun 30, 2023 | 33.64% |
| Mar 31, 2023 | 35.29% |
| Dec 31, 2022 | 33.47% |
| Sep 30, 2022 | 27.85% |
| Jun 30, 2022 | 24.44% |
| Mar 31, 2022 | 17.18% |
| Dec 31, 2021 | 14.11% |
| Sep 30, 2021 | 1.43% |
Helmerich & Payne 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=HP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "HP", "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=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();