Phoenix New Media (FENG) Operating Leases (2019 - 2026)
Phoenix New Media (FENG) posted Operating Leases of $1.86 million for the quarter ended Jun 30, 2026, up 25.7% from $1.48 million a year earlier but down 5.6% from the prior quarter.
Phoenix New Media (FENG) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Phoenix New Media's Operating Leases came in at $2.02 million, up 34.1% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of -18.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Phoenix New Media's Operating Leases was $1.5 million in the year ended Dec 31, 2024 (-46.4%), $2.81 million in the year ended Dec 31, 2023 (-18.1%), $3.43 million in the year ended Dec 31, 2022 (-15.3%) and $4.05 million in the year ended Dec 31, 2021 (-27.4%).
- Quarterly Operating Leases has run from a low of $1.46 million in the quarter ended Mar 31, 2025 to a high of $4.2 million in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last three quarters, with an average decline of 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Jun 30, 2023, with growth of 61.8%; the weakest was the quarter ended Jun 30, 2022, with a decline of 63.6%.
- According to Business Quant data, Operating Leases for the three prior quarters was $1.97 million (quarter ended Mar 31, 2026), $1.99 million (quarter ended Dec 31, 2025) and $1.97 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Phoenix New Media | 20.47 Mn | -552.06 Mn | 18.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | 1.97 Mn |
| Dec 31, 2025 | 1.99 Mn |
| Sep 30, 2025 | 1.97 Mn |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | 1.46 Mn |
| Dec 31, 2024 | 1.53 Mn |
| Sep 30, 2024 | 2.70 Mn |
| Jun 30, 2024 | 2.40 Mn |
| Mar 31, 2024 | 2.46 Mn |
| Dec 31, 2023 | 2.77 Mn |
| Sep 30, 2023 | 2.86 Mn |
| Jun 30, 2023 | 2.90 Mn |
| Mar 31, 2023 | 3.05 Mn |
| Dec 31, 2022 | 3.32 Mn |
| Sep 30, 2022 | 3.19 Mn |
| Jun 30, 2022 | 1.79 Mn |
| Mar 31, 2022 | 2.24 Mn |
| Dec 31, 2021 | 4.03 Mn |
| Sep 30, 2021 | 4.20 Mn |
Phoenix New Media Operating Leases 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=operating-leases&ticker=FENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();