Phoenix New Media (FENG) Shares Outstanding (Diluted) (2010 - 2026)
Phoenix New Media's Shares Outstanding (Diluted) came in at 14.41 million for the quarter ended Jun 30, 2026, unchanged from 14.42 million a year earlier and unchanged from the prior quarter.
Phoenix New Media (FENG) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2010, Phoenix New Media's Shares Outstanding (Diluted) data covers 66 quarters.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -0.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Shares Outstanding (Diluted) was 14.42 million in the year ended Dec 31, 2024 (-0.9%), 14.56 million in the year ended Dec 31, 2023 (unchanged), 14.56 million in the year ended Dec 31, 2022 (unchanged) and 14.56 million in the year ended Dec 31, 2021 (unchanged).
- The five-year range for quarterly Shares Outstanding (Diluted) is 14.41 million (the quarter ended Dec 31, 2025) to 14.56 million (the quarter ended Sep 30, 2023).
- Business Quant data shows FENG's Shares Outstanding (Diluted) at 14.41 million (quarter ended Mar 31, 2026), 14.41 million (quarter ended Dec 31, 2025) and 14.42 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Phoenix New Media | 20.18 Mn | -552.34 Mn | 18.30 Mn | 14.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.41 Mn |
| Mar 31, 2026 | 14.41 Mn |
| Dec 31, 2025 | 14.41 Mn |
| Sep 30, 2025 | 14.42 Mn |
| Jun 30, 2025 | 14.42 Mn |
| Mar 31, 2025 | 14.42 Mn |
| Dec 31, 2024 | 14.42 Mn |
| Sep 30, 2024 | 14.56 Mn |
| Jun 30, 2024 | 14.56 Mn |
| Mar 31, 2024 | 14.56 Mn |
| Dec 31, 2023 | 14.56 Mn |
| Sep 30, 2023 | 14.56 Mn |
| Jun 30, 2023 | 14.56 Mn |
| Mar 31, 2023 | 14.56 Mn |
| Dec 31, 2022 | 14.56 Mn |
| Sep 30, 2022 | 14.56 Mn |
| Jun 30, 2022 | 14.56 Mn |
| Mar 31, 2022 | 14.56 Mn |
| Dec 31, 2021 | 14.56 Mn |
| Sep 30, 2021 | 14.56 Mn |
Phoenix New Media Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=FENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=FENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();