Helmerich & Payne (HP) Revenue (2009 - 2026)
Helmerich & Payne (HP) recorded Revenue of $1.03 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.6% from $1.04 billion a year earlier but up 11.0% from the prior quarter.
Helmerich & Payne (HP) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Helmerich & Payne's Revenue came in at $4 billion as of Jun 30, 2026, up 16.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $3.75 billion, up 35.9% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $2.76 billion in FY2024 (-4.0%), $2.87 billion in FY2023 (+39.5%), $2.06 billion in FY2022 (+69.0%) and $1.22 billion in FY2021 (-31.3%).
- Quarterly Revenue has ranged from $343.81 million in fiscal Q4 2021 to $1.04 billion in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Revenue rose in five of the last eight quarters, with growth averaging 23.7%.
- Peak year-over-year performance for Revenue in the last five years was growth of 83.6% in fiscal Q4 2022, against a decline of 10.6% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $932.36 million (Q2 2026), $1.02 billion (Q1 2026) and $1.01 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 8.97 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 6.74 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 2.76 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 5.71 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 2.13 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 719.69 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 1.11 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 966.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 539.20 Mn |
| 10 | Helmerich & Payne | 3.75 Bn | 2.92 Bn | 349.94 Mn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 932.36 Mn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | 1.04 Bn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 677.30 Mn |
| Sep 30, 2024 | 693.79 Mn |
| Jun 30, 2024 | 697.72 Mn |
| Mar 31, 2024 | 687.94 Mn |
| Dec 31, 2023 | 677.15 Mn |
| Sep 30, 2023 | 659.61 Mn |
| Jun 30, 2023 | 723.96 Mn |
| Mar 31, 2023 | 769.22 Mn |
| Dec 31, 2022 | 719.64 Mn |
| Sep 30, 2022 | 631.33 Mn |
| Jun 30, 2022 | 550.23 Mn |
| Mar 31, 2022 | 467.60 Mn |
| Dec 31, 2021 | 409.78 Mn |
| Sep 30, 2021 | 343.81 Mn |
Helmerich & Payne Revenue 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=revenue&ticker=HP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();