Sandridge Energy (SD) Operating Expenses (2009 - 2026)
Sandridge Energy (SD) recorded Operating Expenses of $25.16 million in Q2 2026, up 57.3% from $16 million a year earlier but down 21.2% from the prior quarter.
Sandridge Energy (SD) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Sandridge Energy's Operating Expenses came in at $106.08 million as of Jun 30, 2026, up 9.5% year-over-year; for FY2025, it came in at $95.41 million, up 3.6% from FY2024.
- Annual Operating Expenses has increased for four straight years, though with a five-year compound annual growth rate of -24.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $92.06 million in FY2024 (+9.0%), $84.46 million in FY2023 (+7.2%), $78.81 million in FY2022 (+43.8%) and $54.8 million in FY2021 (-85.9%).
- Quarterly Operating Expenses has ranged from $16 million in Q2 2025 to $31.92 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 14.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 57.3% in Q2 2026, against a decline of 73.4% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.92 million (Q1 2026), $24.21 million (Q4 2025) and $24.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - | 96.59 Bn |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn | 3.19 Bn |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn | 53.37 Bn |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - | 46.44 Bn |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - | - |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn | 2.43 Bn |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - | -22.18 Bn |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn | 47.07 Bn |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - | 114.95 Mn |
| 10 | Sandridge Energy | 503.08 Mn | 74.78 Mn | - | 25.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.16 Mn |
| Mar 31, 2026 | 31.92 Mn |
| Dec 31, 2025 | 24.21 Mn |
| Sep 30, 2025 | 24.78 Mn |
| Jun 30, 2025 | 16.00 Mn |
| Mar 31, 2025 | 30.42 Mn |
| Dec 31, 2024 | 28.88 Mn |
| Sep 30, 2024 | 21.57 Mn |
| Jun 30, 2024 | 19.76 Mn |
| Mar 31, 2024 | 21.87 Mn |
| Dec 31, 2023 | 20.94 Mn |
| Sep 30, 2023 | 21.97 Mn |
| Jun 30, 2023 | 19.61 Mn |
| Mar 31, 2023 | 21.94 Mn |
| Dec 31, 2022 | 17.56 Mn |
| Sep 30, 2022 | 17.31 Mn |
| Jun 30, 2022 | 21.25 Mn |
| Mar 31, 2022 | 22.69 Mn |
| Dec 31, 2021 | 17.96 Mn |
| Sep 30, 2021 | 20.13 Mn |
Sandridge 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=SD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SD", "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=SD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();