Conocophillips (COP) Operating Expenses (2009 - 2026)
Conocophillips' Operating Expenses was $2.43 billion in Q2 2026, down 5.5% from $2.57 billion a year earlier but up 6.8% from the prior quarter.
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Analysis
Conocophillips (COP) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Conocophillips' Operating Expenses was $9.96 billion through Jun 30, 2026, up 3.2% year-over-year; for FY2025, it came in at $10.33 billion, up 18.1% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $8.75 billion in FY2024 (+13.8%), $7.69 billion in FY2023 (+9.8%), $7.01 billion in FY2022 (+23.0%) and $5.69 billion in FY2021 (+31.1%).
- Quarterly Operating Expenses has moved between $1.39 billion (Q3 2021) and $2.63 billion (Q3 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 10.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 44.2%); the worst was Q1 2026 (a decline of 9.2%).
- Per Business Quant data, COP's Operating Expenses in the three quarters before Q2 2026 was $2.28 billion (Q1 2026), $2.62 billion (Q4 2025) and $2.63 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 678.46 Bn | 636.61 Bn | - | 91.93 Bn |
| 2 | Shell | 572.35 Bn | 454.96 Bn | - | 3.19 Bn |
| 3 | Chevron | 410.31 Bn | 377.35 Bn | 31.26 Bn | 54.17 Bn |
| 4 | TotalEnergies SE | 190.98 Bn | 74.26 Bn | - | 46.44 Bn |
| 5 | Eni Spa | 166.41 Bn | 117.77 Bn | - | - |
| 6 | Conocophillips | 163.94 Bn | 136.65 Bn | 12.81 Bn | 2.43 Bn |
| 7 | Equinor Asa | 104.52 Bn | 35.38 Bn | 12.28 Bn | 19.86 Bn |
| 8 | Canadian Natural Resources | 100.46 Bn | 98.53 Bn | - | - |
| 9 | Phillips 66 | 99.08 Bn | 82.87 Bn | 10.69 Bn | 44.40 Bn |
| 10 | Suncor Energy | 82.03 Bn | 74.17 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Bn |
| Mar 31, 2026 | 2.28 Bn |
| Dec 31, 2025 | 2.62 Bn |
| Sep 30, 2025 | 2.63 Bn |
| Jun 30, 2025 | 2.57 Bn |
| Mar 31, 2025 | 2.51 Bn |
| Dec 31, 2024 | 2.31 Bn |
| Sep 30, 2024 | 2.26 Bn |
| Jun 30, 2024 | 2.16 Bn |
| Mar 31, 2024 | 2.02 Bn |
| Dec 31, 2023 | 2.03 Bn |
| Sep 30, 2023 | 2.00 Bn |
| Jun 30, 2023 | 1.89 Bn |
| Mar 31, 2023 | 1.78 Bn |
| Dec 31, 2022 | 1.89 Bn |
| Sep 30, 2022 | 1.80 Bn |
| Jun 30, 2022 | 1.74 Bn |
| Mar 31, 2022 | 1.58 Bn |
| Dec 31, 2021 | 1.54 Bn |
| Sep 30, 2021 | 1.39 Bn |
API Access
Conocophillips 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=COP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "COP", "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=COP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();