Helmerich & Payne (HP) Depreciation and Depletion (2009 - 2026)
Helmerich & Payne's Depreciation and Depletion was $162.8 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.2% from $160.8 million a year earlier and up 0.3% from the prior quarter.
Helmerich & Payne (HP) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Helmerich & Payne's Depreciation and Depletion was $657 million through Jun 30, 2026, up 30.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $574.5 million, up 47.0% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In earlier fiscal years, Depreciation and Depletion was $390.9 million in FY2024 (+4.0%), $375.7 million in FY2023 (-5.1%), $396 million in FY2022 (-4.0%) and $412.5 million in FY2021 (-13.1%).
- Quarterly Depreciation and Depletion has moved between $92.4 million (fiscal Q1 2024) and $169.4 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion has increased for ten straight quarters, with growth averaging 33.9% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2025 (growth of 70.4%); the worst was fiscal Q4 2023 (a decline of 9.3%).
- Per Business Quant data, HP's Depreciation and Depletion in the three fiscal quarters before Q3 2026 was $162.3 million (Q2 2026), $162.5 million (Q1 2026) and $169.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.22 Bn | 69.33 Bn | 1.40 Bn | 473.00 Mn |
| 2 | Baker Hughes | 55.21 Bn | 18.49 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 27.04 Bn | 23.19 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.59 Bn | 18.34 Bn | 804.00 Mn | - |
| 5 | Nov | 6.76 Bn | 1.55 Bn | 521.00 Mn | - |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.63 Bn | 1.57 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.51 Bn | 3.13 Bn | 123.70 Mn | 44.60 Mn |
| 10 | Helmerich & Payne | 3.82 Bn | 3.00 Bn | 349.94 Mn | 162.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.80 Mn |
| Mar 31, 2026 | 162.30 Mn |
| Dec 31, 2025 | 162.50 Mn |
| Sep 30, 2025 | 169.40 Mn |
| Jun 30, 2025 | 160.80 Mn |
| Mar 31, 2025 | 147.30 Mn |
| Dec 31, 2024 | 97.00 Mn |
| Sep 30, 2024 | 99.40 Mn |
| Jun 30, 2024 | 96.20 Mn |
| Mar 31, 2024 | 102.90 Mn |
| Dec 31, 2023 | 92.40 Mn |
| Sep 30, 2023 | 93.00 Mn |
| Jun 30, 2023 | 93.20 Mn |
| Mar 31, 2023 | 94.60 Mn |
| Dec 31, 2022 | 94.90 Mn |
| Sep 30, 2022 | 102.50 Mn |
| Jun 30, 2022 | 97.50 Mn |
| Mar 31, 2022 | 101.10 Mn |
| Dec 31, 2021 | 98.60 Mn |
| Sep 30, 2021 | 100.10 Mn |
Helmerich & Payne Depreciation and Depletion 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=depreciation-and-depletion&ticker=HP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();