Helmerich & Payne (HP) Return on Sales [ROS] (2009 - 2026)
Helmerich & Payne's Return on Sales [ROS] came in at 18.19% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 30.51 percentage points from -12.32% a year earlier and up 22.15 percentage points from the prior quarter.
Helmerich & Payne (HP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Helmerich & Payne reported Return on Sales [ROS] of 2.25%, down 1.03 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 0.09%, down 16.51 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +35.05 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 16.59% in FY2024 (-3.19 pp), 19.78% in FY2023 (+17.59 pp), 2.20% in FY2022 (+37.37 pp) and -35.17% in FY2021 (-0.21 pp).
- The fiscal Q3 2026 figure represents the highest quarterly Return on Sales [ROS] since fiscal Q1 2024.
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -7.21 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2022 (a gain of 49.50 percentage points), and the weakest in fiscal Q3 2025 (a drop of 28.58 percentage points).
- Business Quant data shows HP's Return on Sales [ROS] at -3.96% (Q2 2026), -5.89% (Q1 2026) and -0.14% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.52 Bn | 70.45 Bn | 1.40 Bn | 11.94% |
| 2 | Baker Hughes | 55.17 Bn | 18.27 Bn | 1.58 Bn | 12.74% |
| 3 | Halliburton | 28.16 Bn | 19.87 Bn | 804.00 Mn | 13.62% |
| 4 | TechnipFMC | 27.25 Bn | 23.39 Bn | 684.70 Mn | -57.68% |
| 5 | Noble | 6.82 Bn | 4.75 Bn | 239.27 Mn | 4.23% |
| 6 | Nov | 6.80 Bn | 1.54 Bn | 521.00 Mn | 9.04% |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn | 15.73% |
| 8 | Valaris | 6.12 Bn | 3.74 Bn | 123.70 Mn | 9.48% |
| 9 | Weatherford International | 5.69 Bn | 1.62 Bn | 333.00 Mn | 9.68% |
| 10 | Helmerich & Payne | 3.82 Bn | 2.90 Bn | 349.94 Mn | 18.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.19% |
| Mar 31, 2026 | -3.96% |
| Dec 31, 2025 | -5.89% |
| Sep 30, 2025 | -0.14% |
| Jun 30, 2025 | -12.32% |
| Mar 31, 2025 | 4.15% |
| Dec 31, 2024 | 13.42% |
| Sep 30, 2024 | 15.51% |
| Jun 30, 2024 | 16.26% |
| Mar 31, 2024 | 16.16% |
| Dec 31, 2023 | 18.23% |
| Sep 30, 2023 | 15.18% |
| Jun 30, 2023 | 20.55% |
| Mar 31, 2023 | 22.78% |
| Dec 31, 2022 | 20.04% |
| Sep 30, 2022 | 12.16% |
| Jun 30, 2022 | 6.13% |
| Mar 31, 2022 | -4.84% |
| Dec 31, 2021 | -10.40% |
| Sep 30, 2021 | -28.22% |
Helmerich & Payne Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();