Daily Journal (DJCO) Selling, General & Administrative (2010 - 2014)
Daily Journal's Selling, General & Administrative was $11.41 million in fiscal Q3 2014 (quarter ended Jun 30, 2014), up 30.3% from $8.76 million a year earlier and up 0.6% from the prior quarter.
Daily Journal (DJCO) Selling, General & Administrative (2010 - 2014) Analysis & Trends
On a trailing twelve-month basis, Daily Journal's Selling, General & Administrative was $43.44 million through Jun 30, 2014, up 43.6% year-over-year; for FY2013 (ended Sep 30, 2013), it came in at $33.83 million, up 45.9% from FY2012.
- Selling, General & Administrative shows a three-year compound annual growth rate of 9.0% (FY2010 to FY2013).
- In earlier fiscal years, Selling, General & Administrative was $23.19 million in FY2012 (-2.2%), $23.71 million in FY2011 (-9.3%) and $26.14 million in FY2010.
- The fiscal Q3 2014 figure marks the highest quarterly Selling, General & Administrative in data going back to fiscal Q2 2010.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 36.9% over the last seven quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q4 2013 (growth of 60.9%); the worst was fiscal Q2 2011 (a decline of 12.1%).
- Per Business Quant data, DJCO's Selling, General & Administrative in the three fiscal quarters before Q3 2014 was $11.35 million (Q2 2014), $11.22 million (Q1 2014) and $9.47 million (Q4 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Skydance | 40.81 Bn | 33.65 Bn | 2.37 Bn | 1.44 Bn |
| 2 | Fox | 28.36 Bn | 14.11 Bn | - | 567.00 Mn |
| 3 | Omnicom | 24.24 Bn | 6.32 Bn | 1.36 Bn | 200.90 Mn |
| 4 | News | 14.40 Bn | 7.03 Bn | - | 890.00 Mn |
| 5 | New York Times | 11.56 Bn | 8.99 Bn | 395.07 Mn | 86.38 Mn |
| 6 | Pearson | 10.96 Bn | 8.09 Bn | - | - |
| 7 | Sirius Xm Holdings | 10.86 Bn | 10.31 Bn | 1.43 Bn | 121.00 Mn |
| 8 | Nexstar Media | 6.37 Bn | 5.01 Bn | 1.20 Bn | 421.00 Mn |
| 9 | Wpp | 6.05 Bn | -5.75 Bn | - | - |
| 10 | Daily Journal | 923.77 Mn | -975.46 Mn | 26.82 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 11.41 Mn |
| Mar 31, 2014 | 11.35 Mn |
| Dec 31, 2013 | 11.22 Mn |
| Sep 30, 2013 | 9.47 Mn |
| Jun 30, 2013 | 8.76 Mn |
| Mar 31, 2013 | 8.62 Mn |
| Dec 31, 2012 | 6.99 Mn |
| Sep 30, 2012 | 5.88 Mn |
| Jun 30, 2012 | 5.90 Mn |
| Dec 31, 2011 | 5.66 Mn |
| Sep 30, 2011 | 5.72 Mn |
| Jun 30, 2011 | 5.90 Mn |
| Mar 31, 2011 | 5.90 Mn |
| Dec 31, 2010 | 6.11 Mn |
| Mar 31, 2010 | 6.71 Mn |
Daily Journal 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=DJCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DJCO", "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=DJCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();