Apa (APA) Selling, General & Administrative (2020 - 2026)
Apa (APA) reported Selling, General & Administrative of $68 million for Q2 2026, up 3.0% from $66 million a year earlier but down 40.9% from the prior quarter.
Apa (APA) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Apa's Selling, General & Administrative came in at $369 million, up 3.1% year-over-year; for FY2025, it was $350 million, down 5.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $372 million in FY2024 (+6.0%), $351 million in FY2023 (-27.3%), $483 million in FY2022 (+28.5%) and $376 million in FY2021 (+29.7%).
- Five-year quarterly Selling, General & Administrative spans a low of $65 million in Q1 2023 and a high of $169 million in Q4 2022.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with an average decline of 0.2%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2023 (growth of 101.4%); the low point was Q1 2023 (a decline of 58.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $115 million (Q1 2026), $91 million (Q4 2025) and $95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - | 2.48 Bn |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn | 2.91 Bn |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn | 1.31 Bn |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - | - |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - | - |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn | 188.00 Mn |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - | -3.44 Bn |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn | 538.00 Mn |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - | 114.95 Mn |
| 10 | Apa | 15.30 Bn | 14.50 Bn | 2.28 Bn | 68.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.00 Mn |
| Mar 31, 2026 | 115.00 Mn |
| Dec 31, 2025 | 91.00 Mn |
| Sep 30, 2025 | 95.00 Mn |
| Jun 30, 2025 | 66.00 Mn |
| Mar 31, 2025 | 98.00 Mn |
| Dec 31, 2024 | 102.00 Mn |
| Sep 30, 2024 | 92.00 Mn |
| Jun 30, 2024 | 85.00 Mn |
| Mar 31, 2024 | 93.00 Mn |
| Dec 31, 2023 | 75.00 Mn |
| Sep 30, 2023 | 139.00 Mn |
| Jun 30, 2023 | 72.00 Mn |
| Mar 31, 2023 | 65.00 Mn |
| Dec 31, 2022 | 169.00 Mn |
| Sep 30, 2022 | 69.00 Mn |
| Jun 30, 2022 | 89.00 Mn |
| Mar 31, 2022 | 156.00 Mn |
| Dec 31, 2021 | 137.00 Mn |
| Sep 30, 2021 | 70.00 Mn |
Apa 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=APA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "APA", "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=APA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();