American International (AIG) Restructuring Costs (2009 - 2026)
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.
American International (AIG) Restructuring Costs (2009 - 2026) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn |
| 10 | American International | 42.70 Bn | -1.79 Bn | 3.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -76.00 Mn |
| Mar 31, 2025 | -76.00 Mn |
| 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 |
| 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 |
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_KEY
import 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();