Helmerich & Payne (HP) Gross Margin (2009 - 2026)
Helmerich & Payne (HP) posted Gross Margin of 33.82% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.47 percentage points from 32.35% a year earlier and up 4.73 percentage points from the prior quarter.
Helmerich & Payne (HP) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Helmerich & Payne was 31.84%, down 3.28 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 32.96%, down 8.10 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of -0.25 percentage points (FY2020 to FY2025).
- In prior fiscal years, Helmerich & Payne's Gross Margin was 41.06% in FY2024 (+0.55 pp), 40.52% in FY2023 (+9.80 pp), 30.71% in FY2022 (+8.89 pp) and 21.83% in FY2021 (-11.38 pp).
- The fiscal Q3 2026 figure stands as the highest quarterly Gross Margin since fiscal Q1 2025.
- On a year-over-year basis, Gross Margin increased in two of the last eight quarters, with an average year-over-year change of -4.32 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q2 2023, with a gain of 14.28 percentage points; the weakest was fiscal Q2 2025, with a drop of 10.72 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 29.09% (Q2 2026), 32.87% (Q1 2026) and 31.35% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | 15.55% |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | 23.46% |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | 14.07% |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | 24.78% |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | 33.25% |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 24.41% |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | 37.06% |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | 22.94% |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 30.14% |
| 10 | Helmerich & Payne | 3.82 Bn | 2.90 Bn | 349.94 Mn | 33.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.82% |
| Mar 31, 2026 | 29.09% |
| Dec 31, 2025 | 32.87% |
| Sep 30, 2025 | 31.35% |
| Jun 30, 2025 | 32.35% |
| Mar 31, 2025 | 30.94% |
| Dec 31, 2024 | 39.33% |
| Sep 30, 2024 | 41.33% |
| Jun 30, 2024 | 40.54% |
| Mar 31, 2024 | 41.67% |
| Dec 31, 2023 | 40.44% |
| Sep 30, 2023 | 39.05% |
| Jun 30, 2023 | 40.72% |
| Mar 31, 2023 | 41.62% |
| Dec 31, 2022 | 40.49% |
| Sep 30, 2022 | 34.90% |
| Jun 30, 2022 | 31.63% |
| Mar 31, 2022 | 27.34% |
| Dec 31, 2021 | 26.88% |
| Sep 30, 2021 | 22.01% |
Helmerich & Payne Gross 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=gross-margin&ticker=HP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();