Helmerich & Payne (HP) Accumulated Expenses (2009 - 2026)
Helmerich & Payne (HP) reported Accumulated Expenses of $560.85 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.5% from $536.84 million a year earlier and up 9.0% from the prior quarter.
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Analysis
Helmerich & Payne (HP) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Helmerich & Payne posted Accumulated Expenses of $564.86 million, up 96.9% from FY2024.
- Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 29.4% (FY2020 to FY2025).
- By fiscal year, Accumulated Expenses came in at $286.84 million in FY2024 (+9.1%), $262.89 million in FY2023 (+9.0%), $241.15 million in FY2022 (-14.9%) and $283.49 million in FY2021 (+82.4%).
- Five-year quarterly Accumulated Expenses spans a low of $203.21 million in fiscal Q2 2023 and a high of $582.8 million in fiscal Q2 2025.
- Year over year, Accumulated Expenses gained in six of the last eight quarters, with growth averaging 55.2%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2025 (growth of 144.4%); the low point was fiscal Q2 2023 (a decline of 17.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $514.42 million (Q2 2026), $501.26 million (Q1 2026) and $564.86 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn |
| 10 | Helmerich & Payne | 3.82 Bn | 2.90 Bn | 349.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 560.85 Mn |
| Mar 31, 2026 | 514.42 Mn |
| Dec 31, 2025 | 501.26 Mn |
| Sep 30, 2025 | 564.86 Mn |
| Jun 30, 2025 | 536.84 Mn |
| Mar 31, 2025 | 582.80 Mn |
| Dec 31, 2024 | 261.81 Mn |
| Sep 30, 2024 | 286.84 Mn |
| Jun 30, 2024 | 255.85 Mn |
| Mar 31, 2024 | 238.49 Mn |
| Dec 31, 2023 | 269.69 Mn |
| Sep 30, 2023 | 262.89 Mn |
| Jun 30, 2023 | 232.95 Mn |
| Mar 31, 2023 | 203.21 Mn |
| Dec 31, 2022 | 272.25 Mn |
| Sep 30, 2022 | 241.15 Mn |
| Jun 30, 2022 | 254.61 Mn |
| Mar 31, 2022 | 245.78 Mn |
| Dec 31, 2021 | 263.13 Mn |
| Sep 30, 2021 | 283.49 Mn |
API Access
Helmerich & Payne Accumulated Expenses 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=accumulated-expenses&ticker=HP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();