Phillips 66 (PSX) Price to Earnings (2012 - 2026)
Phillips 66's (PSX) quarterly Price to Earnings came in at 17.39 in Q2 2026, down 67.25% on a YoY basis from 53.1 in Q2 2025, and down 94.79% quarter-over-quarter from 333.53 in Q1 2026.
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Phillips 66 (PSX) Price to Earnings (2012 - 2026) Analysis & Trends
Phillips 66 (PSX) has reported Price to Earnings for 15 consecutive years, with 17.39 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 67.25% year-over-year to 17.39; the trailing twelve-month figure through Jun 2026 stood at 9.38 (down 64.44% YoY), and the FY2025 full-year result was 11.42, down 46.52% from the prior year.
- Price to Earnings retreated to 17.39 in Q2 2026 per PSX's latest filing, from 333.53 in the prior quarter.
- Across five years, Price to Earnings topped out at 1857.96 in Q4 2024 and bottomed at 6.89 in Q3 2022.
- Historically, Price to Earnings has averaged 179.0 across 5 years, with a median of 48.71 in 2023.
- The sharpest annual moves came in 2024 and 2025: Price to Earnings surged 4091.47% in 2024, then tumbled 99.05% in 2025.
- Over 5 years, Price to Earnings stood at 24.0 in 2022, then jumped by 84.71% to 44.33 in 2023, then soared by 4091.47% to 1857.96 in 2024, then sank by 99.05% to 17.67 in 2025, then fell by 1.57% to 17.39 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 17.39, 333.53, and 17.67 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chevron | 406.10 Bn | 403.25 Bn | 33.45 Bn |
| 2 | Shell | 256.90 Bn | 217.03 Bn | 30.13 Bn |
| 3 | TotalEnergies SE | 202.32 Bn | 173.15 Bn | 23.46 Bn |
| 4 | Eni Spa | 172.63 Bn | 162.79 Bn | - |
| 5 | Conocophillips | 153.88 Bn | 146.19 Bn | 12.81 Bn |
| 6 | Equinor Asa | 107.31 Bn | 98.05 Bn | - |
| 7 | Phillips 66 | 102.33 Bn | 99.43 Bn | 8.38 Bn |
| 8 | Canadian Natural Resources | 99.17 Bn | 97.27 Bn | 8.84 Bn |
| 9 | Suncor Energy | 81.11 Bn | 75.74 Bn | 17.50 Bn |
| 10 | Eog Resources | 74.44 Bn | 69.53 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.39 |
| Mar 31, 2026 | 333.53 |
| Dec 31, 2025 | 17.67 |
| Sep 30, 2025 | 328.18 |
| Jun 30, 2025 | 53.10 |
| Mar 31, 2025 | 95.68 |
| Dec 31, 2024 | 1,857.96 |
| Sep 30, 2024 | 147.12 |
| Jun 30, 2024 | 57.93 |
| Mar 31, 2024 | 91.00 |
| Dec 31, 2023 | 44.33 |
| Sep 30, 2023 | 24.67 |
| Jun 30, 2023 | 24.49 |
| Mar 31, 2023 | 22.40 |
| Dec 31, 2022 | 24.00 |
| Sep 30, 2022 | 6.89 |
| Jun 30, 2022 | 12.40 |
| Mar 31, 2022 | 63.26 |
| Dec 31, 2021 | 23.17 |
| Sep 30, 2021 | 62.87 |
API Access
Phillips 66 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=PSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PSX", "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=PSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();