Helmerich & Payne (HP) Research & Development (2009 - 2026)
Helmerich & Payne's Research & Development came in at $5.91 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 24.0% from $7.78 million a year earlier and down 15.8% from the prior quarter.
Helmerich & Payne (HP) Research & Development (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Helmerich & Payne reported Research & Development of $27.14 million, down 23.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $34.13 million, down 16.7% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Going back by fiscal year, Research & Development was $40.96 million in FY2024 (+36.1%), $30.1 million in FY2023 (+13.3%), $26.56 million in FY2022 (+22.3%) and $21.72 million in FY2021 (+0.4%).
- The fiscal Q3 2026 figure represents the lowest quarterly Research & Development since fiscal Q4 2021.
- Year-over-year, Research & Development has declined for six consecutive quarters, with an average decline of 14.7% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in fiscal Q3 2024 (growth of 49.0%), and the weakest in fiscal Q1 2026 (a decline of 29.0%).
- Business Quant data shows HP's Research & Development at $7.02 million (Q2 2026), $6.65 million (Q1 2026) and $7.57 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 171.00 Mn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 143.00 Mn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 25.70 Mn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | - |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | - |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | - |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 20.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | - |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | - |
| 10 | Helmerich & Payne | 3.75 Bn | 2.92 Bn | 349.94 Mn | 5.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.91 Mn |
| Mar 31, 2026 | 7.02 Mn |
| Dec 31, 2025 | 6.65 Mn |
| Sep 30, 2025 | 7.57 Mn |
| Jun 30, 2025 | 7.78 Mn |
| Mar 31, 2025 | 9.42 Mn |
| Dec 31, 2024 | 9.36 Mn |
| Sep 30, 2024 | 8.85 Mn |
| Jun 30, 2024 | 10.56 Mn |
| Mar 31, 2024 | 12.91 Mn |
| Dec 31, 2023 | 8.61 Mn |
| Sep 30, 2023 | 7.38 Mn |
| Jun 30, 2023 | 7.09 Mn |
| Mar 31, 2023 | 8.70 Mn |
| Dec 31, 2022 | 6.93 Mn |
| Sep 30, 2022 | 7.14 Mn |
| Jun 30, 2022 | 6.51 Mn |
| Mar 31, 2022 | 6.39 Mn |
| Dec 31, 2021 | 6.53 Mn |
| Sep 30, 2021 | 5.20 Mn |
Helmerich & Payne Research & Development 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=research-and-development&ticker=HP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();