Beasley Broadcast (BBGI) Cost of Revenue (2010 - 2019)
Beasley Broadcast (BBGI) posted Cost of Revenue of $49.44 million for Q3 2019, down 1.8% from $50.35 million a year earlier but up 3.5% from the prior quarter.
Beasley Broadcast (BBGI) Cost of Revenue (2010 - 2019) Analysis & Trends
For the trailing twelve months through Sep 30, 2019, Cost of Revenue at Beasley Broadcast was $199.58 million, up 8.3% year-over-year; for FY2018, it was $195.75 million, up 12.0% from FY2017.
- Annual Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 39.4% (FY2013 to FY2018).
- In prior years, Beasley Broadcast's Cost of Revenue was $174.82 million in FY2017 (+80.8%), $96.71 million in FY2016 (+27.9%), $75.61 million in FY2015 (+87.4%) and $40.35 million in FY2014 (+8.3%).
- Quarterly Cost of Revenue has run from a low of $12.26 million in Q4 2014 to a high of $54.92 million in Q4 2018 over five years.
- On a year-over-year basis, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 9.2%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2017, with growth of 127.6%; the weakest was Q3 2019, with a decline of 1.8%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $47.76 million (Q2 2019), $47.45 million (Q1 2019) and $54.92 million (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 4.62 Bn |
| 2 | Fox | 28.70 Bn | 14.61 Bn | - | - |
| 3 | Omnicom | 22.56 Bn | 4.63 Bn | 1.36 Bn | 5.06 Bn |
| 4 | News | 17.11 Bn | 9.30 Bn | - | - |
| 5 | Pearson | 11.61 Bn | 8.74 Bn | - | - |
| 6 | New York Times | 11.17 Bn | 8.65 Bn | 394.61 Mn | 367.84 Mn |
| 7 | Sirius Xm Holdings | 9.31 Bn | 8.89 Bn | 1.44 Bn | 722.00 Mn |
| 8 | Skydance | 7.66 Bn | 5.58 Bn | - | - |
| 9 | Wpp | 5.73 Bn | -6.07 Bn | - | - |
| 10 | Beasley Broadcast | 13.71 Mn | -23.68 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 49.44 Mn |
| Jun 30, 2019 | 47.76 Mn |
| Mar 31, 2019 | 47.45 Mn |
| Dec 31, 2018 | 54.92 Mn |
| Sep 30, 2018 | 50.35 Mn |
| Jun 30, 2018 | 44.97 Mn |
| Mar 31, 2018 | 45.51 Mn |
| Dec 31, 2017 | 43.48 Mn |
| Sep 30, 2017 | 42.48 Mn |
| Jun 30, 2017 | 44.91 Mn |
| Mar 31, 2017 | 43.95 Mn |
| Dec 31, 2016 | 37.47 Mn |
| Sep 30, 2016 | 19.52 Mn |
| Jun 30, 2016 | 19.73 Mn |
| Mar 31, 2016 | 19.99 Mn |
| Dec 31, 2015 | 19.40 Mn |
| Sep 30, 2015 | 19.65 Mn |
| Jun 30, 2015 | 18.74 Mn |
| Mar 31, 2015 | 17.81 Mn |
| Dec 31, 2014 | 12.26 Mn |
Beasley Broadcast Cost of Revenue 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=cost-of-revenue&ticker=BBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "BBGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=BBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();