Selective Insurance (SIGI) Divestments (2009 - 2014)
Selective Insurance (SIGI) recorded Divestments of $8 million in FY2014, up 553.1% from $1.23 million in FY2013.
Analysis
Selective Insurance (SIGI) Divestments (2009 - 2014) Analysis & Trends
Starting with FY2009, Selective Insurance's Divestments history includes 6 years.
- The FY2014 figure is the highest annual Divestments in data going back to FY2009.
- Per Business Quant data, SIGI's Divestments was $1.23 million in FY2013 (+63.1%), $751,000 in FY2012 (-34.8%), $1.15 million in FY2011 (+17.8%) and $978,000 in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | - |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | - |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | 4.00 Mn |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | 4.00 Mn |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | - |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | 1.00 Mn |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 1.00 Mn |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | - |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | - |
| 10 | Selective Insurance | 5.89 Bn | 3.99 Bn | 563.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 8.00 Mn |
| Jun 30, 2013 | 1.00 Mn |
| Mar 31, 2013 | 225,000.00 |
| Dec 31, 2012 | 151,000.00 |
| Sep 30, 2012 | 155,000.00 |
| Jun 30, 2012 | 158,000.00 |
| Mar 31, 2012 | 287,000.00 |
| Dec 31, 2011 | 233,000.00 |
| Sep 30, 2011 | 249,000.00 |
| Jun 30, 2011 | 255,000.00 |
| Mar 31, 2011 | 415,000.00 |
| Dec 31, 2010 | 297,000.00 |
| Sep 30, 2010 | -107,000.00 |
| Jun 30, 2010 | -56,000.00 |
| Mar 31, 2010 | 844,000.00 |
| Dec 31, 2009 | -12.54 Mn |
API Access
Selective Insurance Divestments 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=divestments&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "ticker": "SIGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=divestments&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();