Phoenix New Media (FENG) Research & Development (2010 - 2026)
Phoenix New Media (FENG) posted Research & Development of -$2.16 million for the quarter ended Jun 30, 2026, compared with -$2.31 million a year earlier.
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Analysis
Phoenix New Media (FENG) Research & Development (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Phoenix New Media was -$8.74 million; for the year ended Dec 31, 2025, it was -$9.24 million.
- In prior years, Phoenix New Media's Research & Development was -$9.69 million in the year ended Dec 31, 2024, -$11,642 in the year ended Dec 31, 2023, -$19.11 million in the year ended Dec 31, 2022 and -$24.89 million in the year ended Dec 31, 2021.
- Quarterly Research & Development has run from a low of -$6.4 million in the quarter ended Dec 31, 2021 to a high of -$2.1 million in the quarter ended Dec 31, 2025 over five years.
- According to Business Quant data, Research & Development for the three prior quarters was -$2.18 million (quarter ended Mar 31, 2026), -$2.1 million (quarter ended Dec 31, 2025) and -$2.29 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 99.90 Mn |
| 10 | Phoenix New Media | 20.47 Mn | -552.06 Mn | 18.30 Mn | -2.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.16 Mn |
| Mar 31, 2026 | -2.18 Mn |
| Dec 31, 2025 | -2.10 Mn |
| Sep 30, 2025 | -2.29 Mn |
| Jun 30, 2025 | -2.31 Mn |
| Mar 31, 2025 | -2.35 Mn |
| Dec 31, 2024 | -2.50 Mn |
| Sep 30, 2024 | -2.47 Mn |
| Jun 30, 2024 | -2.43 Mn |
| Mar 31, 2024 | -2.43 Mn |
| Dec 31, 2023 | -2.58 Mn |
| Sep 30, 2023 | -2.51 Mn |
| Jun 30, 2023 | -2.89 Mn |
| Mar 31, 2023 | -3.65 Mn |
| Dec 31, 2022 | -3.45 Mn |
| Sep 30, 2022 | -4.69 Mn |
| Jun 30, 2022 | -5.92 Mn |
| Mar 31, 2022 | -5.53 Mn |
| Dec 31, 2021 | -6.40 Mn |
| Sep 30, 2021 | -6.07 Mn |
API Access
Phoenix New Media Research & Development 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=research-and-development&ticker=FENG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();