ExxonMobil Holdings (XOM) Operating Expenses (2009 - 2026)
ExxonMobil Holdings' Operating Expenses was $96.59 billion in Q2 2026, up 36.4% from $70.8 billion a year earlier and up 23.6% from the prior quarter.
ExxonMobil Holdings (XOM) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, ExxonMobil Holdings' Operating Expenses was $323.4 billion through Jun 30, 2026, up 10.4% year-over-year; for FY2025, it came in at $290.97 billion, down 3.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $300.71 billion in FY2024 (+3.1%), $291.8 billion in FY2023 (-13.1%), $335.93 billion in FY2022 (+32.0%) and $254.41 billion in FY2021 (+20.9%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2014.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 4.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 47.7%); the worst was Q2 2023 (a decline of 21.5%).
- Per Business Quant data, XOM's Operating Expenses in the three quarters before Q2 2026 was $78.17 billion (Q1 2026), $74.28 billion (Q4 2025) and $74.36 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 732.76 Bn | 695.97 Bn | - | 96.59 Bn |
| 2 | Chevron | 447.81 Bn | 425.60 Bn | 33.45 Bn | 53.37 Bn |
| 3 | Shell | 301.00 Bn | 231.74 Bn | 30.13 Bn | 8.70 Bn |
| 4 | TotalEnergies SE | 200.71 Bn | 83.84 Bn | 61.77 Bn | 46.44 Bn |
| 5 | Conocophillips | 174.96 Bn | 147.67 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 115.99 Bn | 30.51 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 113.55 Bn | 102.54 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 112.20 Bn | 109.20 Bn | 8.84 Bn | 114.95 Mn |
| 9 | Eni Spa | 93.57 Bn | 43.76 Bn | - | - |
| 10 | Suncor Energy | 92.37 Bn | 78.11 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.59 Bn |
| Mar 31, 2026 | 78.17 Bn |
| Dec 31, 2025 | 74.28 Bn |
| Sep 30, 2025 | 74.36 Bn |
| Jun 30, 2025 | 70.80 Bn |
| Mar 31, 2025 | 71.53 Bn |
| Dec 31, 2024 | 73.61 Bn |
| Sep 30, 2024 | 76.99 Bn |
| Jun 30, 2024 | 79.40 Bn |
| Mar 31, 2024 | 70.71 Bn |
| Dec 31, 2023 | 73.72 Bn |
| Sep 30, 2023 | 77.06 Bn |
| Jun 30, 2023 | 71.26 Bn |
| Mar 31, 2023 | 69.76 Bn |
| Dec 31, 2022 | 76.59 Bn |
| Sep 30, 2022 | 86.65 Bn |
| Jun 30, 2022 | 90.75 Bn |
| Mar 31, 2022 | 81.94 Bn |
| Dec 31, 2021 | 73.24 Bn |
| Sep 30, 2021 | 64.18 Bn |
ExxonMobil Holdings 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=XOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XOM", "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=XOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();