Warner Music (WMG) Short term Debt (2012 - 2018)
Warner Music's Short term Debt was $111 million in fiscal Q2 2018 (quarter ended Mar 31, 2018).
Analysis
Warner Music (WMG) Short term Debt (2012 - 2018) Analysis & Trends
At the end of FY2015 (ended Sep 30, 2015), Short term Debt at Warner Music came in at $13 million, unchanged from FY2014.
- In earlier fiscal years, Short term Debt was $13 million in FY2014 (unchanged) and $13 million in FY2013.
- The fiscal Q2 2018 figure marks the highest quarterly Short term Debt since fiscal Q3 2016.
- The best year-over-year quarter for Short term Debt over five years was fiscal Q3 2016 (growth of 769.2%); the worst was fiscal Q1 2015 (a decline of 80.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walt Disney | 182.10 Bn | 166.67 Bn | 11.57 Bn |
| 2 | Warner Music | 14.45 Bn | 11.94 Bn | 854.00 Mn |
| 3 | Lionsgate Studios | 3.33 Bn | 2.29 Bn | - |
| 4 | Angel Studios | 856.70 Mn | 662.19 Mn | 59.96 Mn |
| 5 | Reservoir Media | 626.34 Mn | 538.65 Mn | 26.69 Mn |
| 6 | Kartoon Studios | 37.94 Mn | 20.81 Mn | - |
| 7 | American Picture House | 5.69 Mn | 5.69 Mn | - |
| 8 | Nexus Advanced Technologies | 2.25 Mn | -16.36 Mn | - |
| 9 | AI Era | 348,100.85 | -302,132.15 | - |
| 10 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 111.00 Mn |
| Jun 30, 2016 | 113.00 Mn |
| Mar 31, 2016 | 13.00 Mn |
| Dec 31, 2015 | 13.00 Mn |
| Sep 30, 2015 | 13.00 Mn |
| Jun 30, 2015 | 13.00 Mn |
| Mar 31, 2015 | 13.00 Mn |
| Dec 31, 2014 | 13.00 Mn |
| Sep 30, 2014 | 13.00 Mn |
| Jun 30, 2014 | 13.00 Mn |
| Mar 31, 2014 | 13.00 Mn |
| Dec 31, 2013 | 68.00 Mn |
| Sep 30, 2013 | 13.00 Mn |
| Jun 30, 2013 | 29.00 Mn |
| Mar 31, 2013 | 30.00 Mn |
| Dec 31, 2012 | 30.00 Mn |
API Access
Warner Music Short term 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=short-term-debt&ticker=WMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "WMG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=WMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();