Phoenix New Media (FENG) Price to Earnings (2011 - 2026)
Phoenix New Media's Price to Earnings came in at 7.45 for the quarter ended Jun 30, 2026, down 68.3% from the prior quarter.
Analysis
Phoenix New Media (FENG) Price to Earnings (2011 - 2026) Analysis & Trends
For the year ended Dec 31, 2019, Phoenix New Media's Price to Earnings was 1.64, down 97.3% from the prior year.
- Going back by year, Price to Earnings was 60.72 in the year ended Dec 31, 2018 (-68.8%), 194.75 in the year ended Dec 31, 2017 (+339.5%), 44.31 in the year ended Dec 31, 2016 (-49.6%) and 87.89 in the year ended Dec 31, 2015 (+153.5%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Price to Earnings since the quarter ended Sep 30, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn |
| 10 | Phoenix New Media | 20.18 Mn | -552.34 Mn | 18.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.45 |
| Mar 31, 2026 | 23.53 |
| Sep 30, 2021 | 2.61 |
| Jun 30, 2021 | 2.14 |
| Mar 31, 2021 | 2.38 |
| Dec 31, 2020 | 1.80 |
| Sep 30, 2020 | 0.90 |
| Jun 30, 2020 | 0.56 |
| Mar 31, 2020 | 0.68 |
| Dec 31, 2019 | 0.67 |
| Sep 30, 2019 | 3.41 |
| Jun 30, 2019 | 25.17 |
| Mar 31, 2019 | 6.72 |
| Dec 31, 2018 | 16.99 |
| Sep 30, 2018 | 25.08 |
| Jun 30, 2018 | 23.25 |
| Mar 31, 2018 | 13.53 |
| Dec 31, 2017 | 21.96 |
| Sep 30, 2017 | 18.35 |
| Jun 30, 2017 | 8.22 |
API Access
Phoenix New Media 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=FENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "FENG", "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=FENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();