Phoenix New Media (FENG) Selling, General & Administrative (2010 - 2026)
Phoenix New Media's Selling, General & Administrative came in at -$3.13 million for the quarter ended Jun 30, 2026, compared with -$1.97 million a year earlier.
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Analysis
Phoenix New Media (FENG) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Phoenix New Media reported Selling, General & Administrative of -$11.96 million; for the year ended Dec 31, 2025, it was -$10.25 million.
- Going back by year, Selling, General & Administrative was -$10.75 million in the year ended Dec 31, 2024, -$16,194 in the year ended Dec 31, 2023, -$13.32 million in the year ended Dec 31, 2022 and -$52.44 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Selling, General & Administrative is -$30.25 million (the quarter ended Sep 30, 2021) to $3.87 million (the quarter ended Dec 31, 2022).
- Business Quant data shows FENG's Selling, General & Administrative at -$3.66 million (quarter ended Mar 31, 2026), -$2.46 million (quarter ended Dec 31, 2025) and -$2.71 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 498.85 Mn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | -1.87 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 136.00 Mn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 935.00 Mn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 217.00 Mn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | -345.00 Mn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 172.03 Mn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 309.00 Mn |
| 10 | Phoenix New Media | 20.18 Mn | -552.34 Mn | 18.30 Mn | -3.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.13 Mn |
| Mar 31, 2026 | -3.66 Mn |
| Dec 31, 2025 | -2.46 Mn |
| Sep 30, 2025 | -2.71 Mn |
| Jun 30, 2025 | -1.97 Mn |
| Mar 31, 2025 | -2.90 Mn |
| Dec 31, 2024 | -1.17 Mn |
| Sep 30, 2024 | -3.80 Mn |
| Jun 30, 2024 | -2.35 Mn |
| Mar 31, 2024 | -3.62 Mn |
| Dec 31, 2023 | -163,000.00 |
| Sep 30, 2023 | -4.68 Mn |
| Jun 30, 2023 | -5.81 Mn |
| Mar 31, 2023 | -5.47 Mn |
| Dec 31, 2022 | 3.87 Mn |
| Sep 30, 2022 | -2.94 Mn |
| Jun 30, 2022 | -7.79 Mn |
| Mar 31, 2022 | -7.17 Mn |
| Dec 31, 2021 | -5.30 Mn |
| Sep 30, 2021 | -30.25 Mn |
API Access
Phoenix New Media Selling, General & Administrative 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=selling-general-and-administrative&ticker=FENG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();