Helmerich & Payne (HP) Other Non-Current Liabilities (2009 - 2026)
Helmerich & Payne's Other Non-Current Liabilities came in at $269.41 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.1% from $266.44 million a year earlier and up 0.1% from the prior quarter.
Helmerich & Payne (HP) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Helmerich & Payne's Other Non-Current Liabilities was $270.62 million, up 102.5% from FY2024.
- Other Non-Current Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Going back by fiscal year, Other Non-Current Liabilities was $133.61 million in FY2024 (+4.3%), $128.13 million in FY2023 (+11.5%), $114.93 million in FY2022 (-22.2%) and $147.76 million in FY2021 (+0.4%).
- The five-year range for quarterly Other Non-Current Liabilities is $112.82 million (fiscal Q3 2023) to $314.49 million (fiscal Q2 2025).
- Year-over-year, Other Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 51.7%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q2 2025 (growth of 132.3%), and the weakest in fiscal Q3 2022 (a decline of 24.2%).
- Business Quant data shows HP's Other Non-Current Liabilities at $269.22 million (Q2 2026), $272.74 million (Q1 2026) and $270.62 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 74.52 Bn | 70.45 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.17 Bn | 18.27 Bn | 1.58 Bn |
| 3 | Halliburton | 28.16 Bn | 19.87 Bn | 804.00 Mn |
| 4 | TechnipFMC | 27.25 Bn | 23.39 Bn | 684.70 Mn |
| 5 | Noble | 6.82 Bn | 4.75 Bn | 239.27 Mn |
| 6 | Nov | 6.80 Bn | 1.54 Bn | 521.00 Mn |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn |
| 8 | Valaris | 6.12 Bn | 3.74 Bn | 123.70 Mn |
| 9 | Weatherford International | 5.69 Bn | 1.62 Bn | 333.00 Mn |
| 10 | Helmerich & Payne | 3.82 Bn | 2.90 Bn | 349.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269.41 Mn |
| Mar 31, 2026 | 269.22 Mn |
| Dec 31, 2025 | 272.74 Mn |
| Sep 30, 2025 | 270.62 Mn |
| Jun 30, 2025 | 266.44 Mn |
| Mar 31, 2025 | 314.49 Mn |
| Dec 31, 2024 | 166.77 Mn |
| Sep 30, 2024 | 133.61 Mn |
| Jun 30, 2024 | 131.34 Mn |
| Mar 31, 2024 | 135.41 Mn |
| Dec 31, 2023 | 137.39 Mn |
| Sep 30, 2023 | 128.13 Mn |
| Jun 30, 2023 | 112.82 Mn |
| Mar 31, 2023 | 113.16 Mn |
| Dec 31, 2022 | 116.14 Mn |
| Sep 30, 2022 | 114.93 Mn |
| Jun 30, 2022 | 116.77 Mn |
| Mar 31, 2022 | 125.75 Mn |
| Dec 31, 2021 | 126.55 Mn |
| Sep 30, 2021 | 147.76 Mn |
Helmerich & Payne Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=HP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();