Crescent Energy (CRGY) Operating Expenses (2021 - 2026)
Crescent Energy (CRGY) recorded Operating Expenses of $813.97 million in Q2 2026, down 0.5% from $818.35 million a year earlier and down 4.8% from the prior quarter.
Crescent Energy (CRGY) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Crescent Energy's Operating Expenses came in at $3.42 billion as of Jun 30, 2026, up 5.3% year-over-year; for FY2025, it was $3.35 billion, up 23.5% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2.71 billion in FY2024 (+31.8%), $2.06 billion in FY2023 (+16.1%), $1.77 billion in FY2022 (+78.5%) and $993.24 million in FY2021 (-11.9%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 25.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 92.7% in Q3 2022, against a decline of 0.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $855.34 million (Q1 2026), $918.43 million (Q4 2025) and $835.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 688.07 Bn | 646.21 Bn | - | 91.93 Bn |
| 2 | Chevron | 421.08 Bn | 393.20 Bn | 33.45 Bn | 53.37 Bn |
| 3 | Shell | 295.54 Bn | 155.81 Bn | - | -177.00 Mn |
| 4 | TotalEnergies SE | 194.84 Bn | 65.92 Bn | 31,614.00 | 5.11 Bn |
| 5 | Eni Spa | 168.93 Bn | 108.56 Bn | - | - |
| 6 | Conocophillips | 165.73 Bn | 138.44 Bn | 12.81 Bn | 2.43 Bn |
| 7 | Equinor Asa | 110.59 Bn | 23.44 Bn | 4.49 Bn | 30.42 Bn |
| 8 | Canadian Natural Resources | 102.76 Bn | 99.76 Bn | 8.84 Bn | 114.95 Mn |
| 9 | Phillips 66 | 98.51 Bn | 82.30 Bn | 10.69 Bn | 44.40 Bn |
| 10 | Crescent Energy | 3.70 Bn | 3.41 Bn | - | 872.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 872.52 Mn |
| Jun 30, 2026 | 813.97 Mn |
| Mar 31, 2026 | 855.34 Mn |
| Dec 31, 2025 | 918.43 Mn |
| Sep 30, 2025 | 835.78 Mn |
| Jun 30, 2025 | 818.35 Mn |
| Mar 31, 2025 | 777.95 Mn |
| Dec 31, 2024 | 902.81 Mn |
| Sep 30, 2024 | 752.30 Mn |
| Jun 30, 2024 | 533.90 Mn |
| Mar 31, 2024 | 523.45 Mn |
| Dec 31, 2023 | 689.13 Mn |
| Sep 30, 2023 | 500.86 Mn |
| Jun 30, 2023 | 428.30 Mn |
| Mar 31, 2023 | 439.57 Mn |
| Dec 31, 2022 | 580.84 Mn |
| Sep 30, 2022 | 447.39 Mn |
| Jun 30, 2022 | 408.59 Mn |
| Mar 31, 2022 | 336.08 Mn |
| Dec 31, 2021 | 301.65 Mn |
Crescent 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=CRGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRGY", "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=CRGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();