Phoenix New Media (FENG) Accumulated Expenses (2010 - 2026)
Phoenix New Media (FENG) posted Accumulated Expenses of $7.87 million for the quarter ended Jun 30, 2026, down 3.7% from $8.17 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Phoenix New Media (FENG) Accumulated Expenses (2010 - 2026) Analysis & Trends
As of Dec 31, 2025, Phoenix New Media's Accumulated Expenses came in at $8.12 million, down 9.8% from the prior year.
- Annual Accumulated Expenses has declined for six consecutive years, with a five-year compound annual growth rate of -21.0% (years ended Dec 2020 to Dec 2025).
- In prior years, Phoenix New Media's Accumulated Expenses was $9 million in the year ended Dec 31, 2024 (-10.8%), $10.09 million in the year ended Dec 31, 2023 (-21.8%), $12.91 million in the year ended Dec 31, 2022 (-33.2%) and $19.34 million in the year ended Dec 31, 2021 (-26.8%).
- Quarterly Accumulated Expenses has run from a low of $7.68 million in the quarter ended Sep 30, 2025 to a high of $19.28 million in the quarter ended Dec 31, 2021 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 6.9%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Mar 31, 2026, with growth of 1.7%; the weakest was the quarter ended Sep 30, 2022, with a decline of 38.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $8.23 million (quarter ended Mar 31, 2026), $8.01 million (quarter ended Dec 31, 2025) and $7.68 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 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 | 7.87 Mn |
| Mar 31, 2026 | 8.23 Mn |
| Dec 31, 2025 | 8.01 Mn |
| Sep 30, 2025 | 7.68 Mn |
| Jun 30, 2025 | 8.17 Mn |
| Mar 31, 2025 | 8.09 Mn |
| Dec 31, 2024 | 9.15 Mn |
| Sep 30, 2024 | 9.20 Mn |
| Jun 30, 2024 | 8.90 Mn |
| Mar 31, 2024 | 8.67 Mn |
| Dec 31, 2023 | 9.95 Mn |
| Sep 30, 2023 | 9.30 Mn |
| Jun 30, 2023 | 9.63 Mn |
| Mar 31, 2023 | 11.46 Mn |
| Dec 31, 2022 | 12.52 Mn |
| Sep 30, 2022 | 10.38 Mn |
| Jun 30, 2022 | 14.89 Mn |
| Mar 31, 2022 | 16.62 Mn |
| Dec 31, 2021 | 19.28 Mn |
| Sep 30, 2021 | 16.84 Mn |
API Access
Phoenix New Media Accumulated Expenses 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=accumulated-expenses&ticker=FENG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();