American International (AIG) Restructuring Costs (2009 - 2016)
American International's Restructuring Costs was $206 million in Q4 2016, down 7.2% from $222 million a year earlier and down 1.9% from the prior quarter.
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Analysis
American International (AIG) Restructuring Costs (2009 - 2016) Analysis & Trends
From Q1 2009 onward, American International has reported Restructuring Costs for 14 quarters.
- In earlier years, Restructuring Costs was $222 million in FY2015.
- Quarterly Restructuring Costs has moved between $90 million (Q2 2016) and $274 million (Q3 2015) over five years.
- Per Business Quant data, AIG's Restructuring Costs in the three quarters before Q4 2016 was $210 million (Q3 2016), $90 million (Q2 2016) and $188 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - |
| 10 | American International | 43.39 Bn | 5.57 Bn | 3.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 206.00 Mn |
| Sep 30, 2016 | 210.00 Mn |
| Jun 30, 2016 | 90.00 Mn |
| Mar 31, 2016 | 188.00 Mn |
| Dec 31, 2015 | 222.00 Mn |
| Sep 30, 2015 | 274.00 Mn |
| Dec 31, 2010 | 235.00 Mn |
| Sep 30, 2010 | 159.00 Mn |
| Jun 30, 2010 | 70.00 Mn |
| Mar 31, 2010 | 110.00 Mn |
| Dec 31, 2009 | 241.00 Mn |
| Sep 30, 2009 | 254.00 Mn |
| Jun 30, 2009 | 326.00 Mn |
| Mar 31, 2009 | 338.00 Mn |
API Access
American International Restructuring Costs 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=restructuring-costs&ticker=AIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "AIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();