HighPeak Energy (HPK) Operating Expenses (2019 - 2026)
HighPeak Energy (HPK) recorded Operating Expenses of $189.18 million in Q2 2026, up 10.9% from $170.54 million a year earlier and up 5.2% from the prior quarter.
HighPeak Energy (HPK) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, HighPeak Energy's Operating Expenses came in at $758 million as of Jun 30, 2026, unchanged year-over-year; for FY2025, it was $710.54 million, down 8.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 80.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $775.97 million in FY2024 (+11.4%), $696.41 million in FY2023 (+109.1%), $333.12 million in FY2022 (+181.6%) and $118.28 million in FY2021 (+219.2%).
- Quarterly Operating Expenses has ranged from $25.51 million in Q3 2021 to $232.97 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 1.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 259.1% in Q1 2023, against a decline of 20.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $179.82 million (Q1 2026), $232.97 million (Q4 2025) and $156.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | - |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 17.00 Mn |
| 10 | HighPeak Energy | 959.78 Mn | 390.62 Mn | - | 189.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.18 Mn |
| Mar 31, 2026 | 179.82 Mn |
| Dec 31, 2025 | 232.97 Mn |
| Sep 30, 2025 | 156.03 Mn |
| Jun 30, 2025 | 170.54 Mn |
| Mar 31, 2025 | 181.93 Mn |
| Dec 31, 2024 | 208.49 Mn |
| Sep 30, 2024 | 196.73 Mn |
| Jun 30, 2024 | 186.01 Mn |
| Mar 31, 2024 | 184.74 Mn |
| Dec 31, 2023 | 213.98 Mn |
| Sep 30, 2023 | 198.92 Mn |
| Jun 30, 2023 | 148.30 Mn |
| Mar 31, 2023 | 135.21 Mn |
| Dec 31, 2022 | 131.04 Mn |
| Sep 30, 2022 | 85.80 Mn |
| Jun 30, 2022 | 78.62 Mn |
| Mar 31, 2022 | 37.66 Mn |
| Sep 30, 2021 | 25.51 Mn |
| Jun 30, 2021 | 27.23 Mn |
HighPeak Energy Operating 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=operating-expenses&ticker=HPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HPK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();