Helmerich & Payne (HP) Long-Term Investments (2009 - 2026)
Helmerich & Payne (HP) reported Long-Term Investments of $72.86 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 28.9% from $102.45 million a year earlier and down 14.9% from the prior quarter.
Helmerich & Payne (HP) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Helmerich & Payne posted Long-Term Investments of $68.2 million, down 32.2% from FY2024.
- Long-Term Investments has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- By fiscal year, Long-Term Investments came in at $100.57 million in FY2024 (-62.0%), $264.95 million in FY2023 (+21.0%), $218.98 million in FY2022 (+61.7%) and $135.44 million in FY2021 (+328.8%).
- Five-year quarterly Long-Term Investments spans a low of $68.2 million in fiscal Q4 2025 and a high of $292.23 million in fiscal Q3 2024.
- Year over year, Long-Term Investments has now declined in each of the last eight quarters, with an average decline of 45.9% over the last eight quarters.
- The high point for year-over-year Long-Term Investments in five years was fiscal Q2 2022 (growth of 534.4%); the low point was fiscal Q3 2025 (a decline of 64.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $85.61 million (Q2 2026), $70.54 million (Q1 2026) and $68.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.61 Bn | 69.54 Bn | 1.40 Bn | 1.69 Bn |
| 2 | Baker Hughes | 52.96 Bn | 16.06 Bn | 1.58 Bn | - |
| 3 | Halliburton | 27.73 Bn | 19.45 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 26.31 Bn | 22.44 Bn | 684.70 Mn | 242.60 Mn |
| 5 | Noble | 6.94 Bn | 4.87 Bn | 239.27 Mn | - |
| 6 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | - |
| 7 | Nov | 6.74 Bn | 1.48 Bn | 521.00 Mn | 159.00 Mn |
| 8 | Valaris | 6.36 Bn | 3.98 Bn | 123.70 Mn | 139.20 Mn |
| 9 | Weatherford International | 5.87 Bn | 1.61 Bn | 374.00 Mn | - |
| 10 | Helmerich & Payne | 3.72 Bn | 2.80 Bn | 349.94 Mn | 72.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.86 Mn |
| Mar 31, 2026 | 85.61 Mn |
| Dec 31, 2025 | 70.54 Mn |
| Sep 30, 2025 | 68.20 Mn |
| Jun 30, 2025 | 102.45 Mn |
| Mar 31, 2025 | 132.05 Mn |
| Dec 31, 2024 | 101.65 Mn |
| Sep 30, 2024 | 100.57 Mn |
| Jun 30, 2024 | 292.23 Mn |
| Mar 31, 2024 | 274.45 Mn |
| Dec 31, 2023 | 263.44 Mn |
| Sep 30, 2023 | 264.95 Mn |
| Jun 30, 2023 | 246.06 Mn |
| Mar 31, 2023 | 261.96 Mn |
| Dec 31, 2022 | 220.89 Mn |
| Sep 30, 2022 | 218.98 Mn |
| Jun 30, 2022 | 213.96 Mn |
| Mar 31, 2022 | 219.30 Mn |
| Dec 31, 2021 | 193.62 Mn |
| Sep 30, 2021 | 135.44 Mn |
Helmerich & Payne Long-Term Investments 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=long-term-investments&ticker=HP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();