Helmerich & Payne (HP) Cash from Operations (2009 - 2026)
Helmerich & Payne's Cash from Operations came in at $153.67 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 26.4% from $121.6 million a year earlier and up 320.1% from the prior quarter.
Helmerich & Payne (HP) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Helmerich & Payne reported Cash from Operations of $579.63 million, up 14.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $542.95 million, down 20.7% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Going back by fiscal year, Cash from Operations was $684.66 million in FY2024 (-17.9%), $833.68 million in FY2023 (+256.4%), $233.91 million in FY2022 (+71.4%) and $136.44 million in FY2021 (-74.7%).
- The five-year range for quarterly Cash from Operations is -$3.72 million (fiscal Q1 2022) to $292.75 million (fiscal Q3 2023).
- Year-over-year, Cash from Operations increased in three of the last eight quarters, with an average decline of 12.6%.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q2 2023 (growth of 521.8%), and the weakest in fiscal Q2 2022 (a decline of 71.1%).
- Business Quant data shows HP's Cash from Operations at $36.58 million (Q2 2026), $182.43 million (Q1 2026) and $206.95 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 1.36 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 1.35 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 548.00 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 824.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 17.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 144.16 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 236.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 175.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 13.10 Mn |
| 10 | Helmerich & Payne | 3.71 Bn | 2.89 Bn | 349.94 Mn | 153.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.67 Mn |
| Mar 31, 2026 | 36.58 Mn |
| Dec 31, 2025 | 182.43 Mn |
| Sep 30, 2025 | 206.95 Mn |
| Jun 30, 2025 | 121.60 Mn |
| Mar 31, 2025 | 56.05 Mn |
| Dec 31, 2024 | 158.36 Mn |
| Sep 30, 2024 | 168.76 Mn |
| Jun 30, 2024 | 197.39 Mn |
| Mar 31, 2024 | 143.72 Mn |
| Dec 31, 2023 | 174.80 Mn |
| Sep 30, 2023 | 214.68 Mn |
| Jun 30, 2023 | 292.75 Mn |
| Mar 31, 2023 | 140.88 Mn |
| Dec 31, 2022 | 185.38 Mn |
| Sep 30, 2022 | 117.21 Mn |
| Jun 30, 2022 | 97.76 Mn |
| Mar 31, 2022 | 22.66 Mn |
| Dec 31, 2021 | -3.72 Mn |
| Sep 30, 2021 | 46.58 Mn |
Helmerich & Payne Cash from Operations 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=cash-from-operations&ticker=HP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();