Phoenix New Media (FENG) Total Debt (2010 - 2019)
Phoenix New Media's Total Debt was $36.12 million in the quarter ended Mar 31, 2019, down 23.6% from $47.29 million a year earlier and down 6.7% from the prior quarter.
Phoenix New Media (FENG) Total Debt (2010 - 2019) Analysis & Trends
As of Dec 31, 2018, Total Debt at Phoenix New Media came in at $38.93 million, down 23.2% from the prior year.
- Total Debt shows a three-year compound annual growth rate of 24.4% (years ended Dec 2015 to Dec 2018).
- In earlier years, Total Debt was $50.72 million in the year ended Dec 31, 2017 (-1.8%), $51.65 million in the year ended Dec 31, 2016 (+155.3%) and $20.23 million in the year ended Dec 31, 2015.
- The figure for the quarter ended Mar 31, 2019 marks the lowest quarterly Total Debt since the quarter ended Jun 30, 2016.
- Compared with a year earlier, Total Debt has declined for six straight quarters, with an average decline of 3.7% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was the quarter ended Mar 31, 2017 (growth of 255.3%); the worst was the quarter ended Mar 31, 2018 (a decline of 34.2%).
- Per Business Quant data, FENG's Total Debt in the three quarters before the quarter ended Mar 31, 2019 was $38.71 million (quarter ended Dec 31, 2018), $39.46 million (quarter ended Sep 30, 2018) and $46.55 million (quarter ended Jun 30, 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 98.17 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 83.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 14.31 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 25.22 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.72 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 20.18 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 3.52 Bn |
| 10 | Phoenix New Media | 20.47 Mn | -552.06 Mn | 18.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 36.12 Mn |
| Dec 31, 2018 | 38.71 Mn |
| Sep 30, 2018 | 39.46 Mn |
| Jun 30, 2018 | 46.55 Mn |
| Mar 31, 2018 | 47.29 Mn |
| Dec 31, 2017 | 49.88 Mn |
| Sep 30, 2017 | 53.80 Mn |
| Jun 30, 2017 | 52.80 Mn |
| Mar 31, 2017 | 71.86 Mn |
| Dec 31, 2016 | 52.56 Mn |
| Sep 30, 2016 | 45.13 Mn |
| Jun 30, 2016 | 30.11 Mn |
| Mar 31, 2016 | 20.22 Mn |
| Dec 31, 2015 | 20.54 Mn |
| Sep 30, 2015 | 20.20 Mn |
| Jun 30, 2015 | 19.90 Mn |
| Dec 31, 2010 | 4.98 Mn |
Phoenix New Media Total Debt 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=total-debt&ticker=FENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=FENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();