Conocophillips (COP) Selling, General & Administrative (2009 - 2026)
Conocophillips' Selling, General & Administrative was $188 million in Q2 2026, down 24.8% from $250 million a year earlier and down 2.6% from the prior quarter.
Conocophillips (COP) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Conocophillips' Selling, General & Administrative was $833 million through Jun 30, 2026, down 33.7% year-over-year; for FY2025, it was $893 million, down 22.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $1.16 billion in FY2024 (+64.3%), $705 million in FY2023 (+13.2%), $623 million in FY2022 (-13.4%) and $719 million in FY2021 (+67.2%).
- Quarterly Selling, General & Administrative has moved between $96 million (Q2 2022) and $630 million (Q4 2024) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in six of the last eight quarters, with growth averaging 35.8%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2024 (growth of 266.3%); the worst was Q4 2025 (a decline of 71.3%).
- Per Business Quant data, COP's Selling, General & Administrative in the three quarters before Q2 2026 was $193 million (Q1 2026), $181 million (Q4 2025) and $271 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 746.42 Bn | 702.90 Bn | - | 2.48 Bn |
| 2 | Chevron | 442.96 Bn | 415.08 Bn | 33.45 Bn | 1.31 Bn |
| 3 | Shell | 313.69 Bn | 243.43 Bn | 30.13 Bn | 2.91 Bn |
| 4 | TotalEnergies SE | 200.00 Bn | 80.58 Bn | 61.77 Bn | - |
| 5 | Conocophillips | 177.72 Bn | 150.43 Bn | 12.81 Bn | 188.00 Mn |
| 6 | Equinor Asa | 121.70 Bn | 36.16 Bn | - | - |
| 7 | Phillips 66 | 117.59 Bn | 105.38 Bn | 8.38 Bn | 538.00 Mn |
| 8 | Canadian Natural Resources | 112.49 Bn | 109.50 Bn | 8.84 Bn | 114.95 Mn |
| 9 | Suncor Energy | 94.96 Bn | 80.71 Bn | - | - |
| 10 | Eni Spa | 89.38 Bn | 33.94 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.00 Mn |
| Mar 31, 2026 | 193.00 Mn |
| Dec 31, 2025 | 181.00 Mn |
| Sep 30, 2025 | 271.00 Mn |
| Jun 30, 2025 | 250.00 Mn |
| Mar 31, 2025 | 191.00 Mn |
| Dec 31, 2024 | 630.00 Mn |
| Sep 30, 2024 | 186.00 Mn |
| Jun 30, 2024 | 164.00 Mn |
| Mar 31, 2024 | 178.00 Mn |
| Dec 31, 2023 | 172.00 Mn |
| Sep 30, 2023 | 169.00 Mn |
| Jun 30, 2023 | 205.00 Mn |
| Mar 31, 2023 | 159.00 Mn |
| Dec 31, 2022 | 192.00 Mn |
| Sep 30, 2022 | 148.00 Mn |
| Jun 30, 2022 | 96.00 Mn |
| Mar 31, 2022 | 187.00 Mn |
| Dec 31, 2021 | 163.00 Mn |
| Sep 30, 2021 | 128.00 Mn |
Conocophillips Selling, General & Administrative 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=selling-general-and-administrative&ticker=COP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=COP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();