Crescent Energy (CRGY) Price to Earnings (2021 - 2026)
Crescent Energy's (CRGY) quarterly Price to Earnings came in at 6.57 in Q2 2026, down 51.24% on a YoY basis from 13.48 in Q2 2025, and up 161.78% quarter-over-quarter from 10.64 in Q1 2026.
Crescent Energy (CRGY) Price to Earnings (2021 - 2026) Analysis & Trends
Crescent Energy (CRGY) has reported Price to Earnings for 6 consecutive years, with 6.57 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 51.24% year-over-year to 6.57; the trailing twelve-month figure through Jun 2026 stood at 44.26 (up 114.42% YoY), and the FY2025 full-year result was 17.29, up 164.4% from the prior year.
- Price to Earnings improved to 6.57 in Q2 2026 per CRGY's latest filing, from 10.64 in the prior quarter.
- Across five years, Price to Earnings topped out at 490.54 in Q1 2025 and bottomed at 448.16 in Q3 2024.
- Historically, Price to Earnings has averaged 9.81 across 5 years, with a median of 6.98 in 2023.
- The sharpest annual moves came in 2024 and 2025: Price to Earnings sank 2487.35% in 2024, then jumped 1572.52% in 2025.
- Over 5 years, Price to Earnings stood at 40.98 in 2022, then sank by 58.64% to 16.95 in 2023, then tumbled by 228.34% to 21.75 in 2024, then soared by 1572.52% to 320.34 in 2025, then tumbled by 97.95% to 6.57 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 6.57, 10.64, and 320.34 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - |
| 10 | Crescent Energy | 4.59 Bn | 4.28 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.57 |
| Mar 31, 2026 | -10.64 |
| Dec 31, 2025 | 320.34 |
| Sep 30, 2025 | -221.18 |
| Jun 30, 2025 | 13.48 |
| Mar 31, 2025 | 490.54 |
| Dec 31, 2024 | -21.75 |
| Sep 30, 2024 | -448.16 |
| Jun 30, 2024 | 29.95 |
| Mar 31, 2024 | -65.21 |
| Dec 31, 2023 | 16.95 |
| Sep 30, 2023 | -17.32 |
| Jun 30, 2023 | 30.29 |
| Mar 31, 2023 | 7.39 |
| Dec 31, 2022 | 40.98 |
| Sep 30, 2022 | 4.05 |
| Jun 30, 2022 | 7.50 |
| Mar 31, 2022 | -7.24 |
| Dec 31, 2021 | 12.72 |
Crescent Energy Price to Earnings 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=price-to-earnings&ticker=CRGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CRGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();