Expand Energy (EXE) Operating Expenses (2009 - 2026)
Expand Energy's Operating Expenses was $2.3 billion in Q2 2026, down 5.0% from $2.42 billion a year earlier and down 19.8% from the prior quarter.
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Analysis
Expand Energy (EXE) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Expand Energy's Operating Expenses was $9.93 billion through Jun 30, 2026, up 23.0% year-over-year; for FY2025, it was $9.65 billion, up 91.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $5.04 billion in FY2024 (-9.7%), $5.58 billion in FY2023 (-29.9%), $7.96 billion in FY2022 (+72.7%) and $4.61 billion in FY2021 (-66.9%).
- Quarterly Operating Expenses has moved between $799 million (Q2 2024) and $2.87 billion (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 73.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2025 (growth of 203.0%); the worst was Q3 2024 (a decline of 44.0%).
- Per Business Quant data, EXE's Operating Expenses in the three quarters before Q2 2026 was $2.87 billion (Q1 2026), $2.53 billion (Q4 2025) and $2.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | - |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | 17.00 Mn |
| 10 | Expand Energy | 19.47 Bn | 15.36 Bn | 2.31 Bn | 2.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Bn |
| Mar 31, 2026 | 2.87 Bn |
| Dec 31, 2025 | 2.53 Bn |
| Sep 30, 2025 | 2.24 Bn |
| Jun 30, 2025 | 2.42 Bn |
| Mar 31, 2025 | 2.46 Bn |
| Dec 31, 2024 | 2.39 Bn |
| Sep 30, 2024 | 803.00 Mn |
| Jun 30, 2024 | 799.00 Mn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.22 Bn |
| Sep 30, 2023 | 1.43 Bn |
| Jun 30, 2023 | 1.37 Bn |
| Mar 31, 2023 | 1.55 Bn |
| Dec 31, 2022 | 1.90 Bn |
| Sep 30, 2022 | 2.16 Bn |
| Jun 30, 2022 | 2.18 Bn |
| Mar 31, 2022 | 1.73 Bn |
| Dec 31, 2021 | 1.67 Bn |
| Sep 30, 2021 | 1.23 Bn |
API Access
Expand 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=EXE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EXE", "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=EXE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();