Millicom International Cellular (TIGO) Selling, General & Administrative (2009 - 2012)
Millicom International Cellular (TIGO) reported Selling, General & Administrative of -$232.67 million for Q2 2015.
Millicom International Cellular (TIGO) Selling, General & Administrative (2009 - 2012) Analysis & Trends
Over the twelve months ended Jun 30, 2012, Millicom International Cellular's Selling, General & Administrative came in at -$233.18 million; for FY2011, it was -$839.42 million.
- By year, Selling, General & Administrative came in at -$738.78 million in FY2010 and -$606.21 million in FY2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 8.98 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 5.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 7.22 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 61.34 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 547.85 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 63.90 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | -203.00 Mn |
| 10 | Millicom International Cellular | 14.93 Bn | 7.24 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2012 | -232.67 Mn |
| Mar 31, 2012 | -170,000.00 |
| Dec 31, 2011 | -168,000.00 |
| Sep 30, 2011 | -166,000.00 |
| Jun 30, 2011 | 204.19 Mn |
| Mar 31, 2011 | -144.00 Mn |
| Dec 31, 2010 | -144,000.00 |
| Sep 30, 2010 | -141,000.00 |
| Jun 30, 2010 | -134,000.00 |
| Mar 31, 2010 | -129.00 Mn |
| Dec 31, 2009 | 125.73 Mn |
| Sep 30, 2009 | 157.71 Mn |
| Jun 30, 2009 | 151.56 Mn |
| Mar 31, 2009 | 108.30 Mn |
Millicom International Cellular 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=TIGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TIGO", "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=TIGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();