Helmerich & Payne (HP) EBITDA (2009 - 2026)
Helmerich & Payne's EBITDA came in at $369.17 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 620.7% from $51.22 million a year earlier and up 156.7% from the prior quarter.
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Analysis
Helmerich & Payne (HP) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Helmerich & Payne reported EBITDA of $822.39 million, up 26.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $628.4 million, down 26.5% from FY2024.
- Going back by fiscal year, EBITDA was $854.79 million in FY2024 (-10.1%), $950.62 million in FY2023 (+112.0%), $448.46 million in FY2022 and -$8.82 million in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly EBITDA since fiscal Q2 2015.
- Year-over-year, EBITDA increased in two of the last eight quarters, with growth averaging 57.3%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q3 2026 (growth of 620.7%), and the weakest in fiscal Q4 2021 (a decline of 85.6%).
- Business Quant data shows HP's EBITDA at $143.81 million (Q2 2026), $122.01 million (Q1 2026) and $187.4 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.52 Bn | 70.45 Bn | 1.40 Bn | 1.78 Bn |
| 2 | Baker Hughes | 55.17 Bn | 18.27 Bn | 1.58 Bn | 1.19 Bn |
| 3 | Halliburton | 28.16 Bn | 19.87 Bn | 804.00 Mn | 1.07 Bn |
| 4 | TechnipFMC | 27.25 Bn | 23.39 Bn | 684.70 Mn | -1.50 Bn |
| 5 | Noble | 6.82 Bn | 4.75 Bn | 239.27 Mn | 170.06 Mn |
| 6 | Nov | 6.80 Bn | 1.54 Bn | 521.00 Mn | 286.00 Mn |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn | 310.00 Mn |
| 8 | Valaris | 6.12 Bn | 3.74 Bn | 123.70 Mn | 95.70 Mn |
| 9 | Weatherford International | 5.69 Bn | 1.62 Bn | 333.00 Mn | 178.00 Mn |
| 10 | Helmerich & Payne | 3.82 Bn | 2.90 Bn | 349.94 Mn | 370.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 370.87 Mn |
| Mar 31, 2026 | 145.09 Mn |
| Dec 31, 2025 | 123.26 Mn |
| Sep 30, 2025 | 188.67 Mn |
| Jun 30, 2025 | 52.56 Mn |
| Mar 31, 2025 | 200.89 Mn |
| Dec 31, 2024 | 192.36 Mn |
| Sep 30, 2024 | 218.69 Mn |
| Jun 30, 2024 | 211.42 Mn |
| Mar 31, 2024 | 215.86 Mn |
| Dec 31, 2023 | 217.61 Mn |
| Sep 30, 2023 | 194.88 Mn |
| Jun 30, 2023 | 243.82 Mn |
| Mar 31, 2023 | 271.80 Mn |
| Dec 31, 2022 | 241.20 Mn |
| Sep 30, 2022 | 176.17 Mn |
| Jun 30, 2022 | 134.78 Mn |
| Mar 31, 2022 | 80.64 Mn |
| Dec 31, 2021 | 58.07 Mn |
| Sep 30, 2021 | 5.35 Mn |
API Access
Helmerich & Payne EBITDA 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=ebitda&ticker=HP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();