American International (AIG) Property, Plant & Equipment (Net) (2009 - 2012)
American International's Property, Plant & Equipment (Net) was $34.47 billion in Q4 2012, down 3.0% from $35.54 billion a year earlier and down 1.3% from the prior quarter.
American International (AIG) Property, Plant & Equipment (Net) (2009 - 2012) Analysis & Trends
From Q2 2009 onward, American International has reported Property, Plant & Equipment (Net) for 15 quarters.
- Property, Plant & Equipment (Net) has now declined for three consecutive years, with a three-year compound annual growth rate of -7.9% (FY2009 to FY2012).
- In earlier years, Property, Plant & Equipment (Net) was $35.54 billion in FY2011 (-7.7%), $38.51 billion in FY2010 (-12.7%) and $44.09 billion in FY2009.
- The Q4 2012 figure marks the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 11 straight quarters, with an average decline of 7.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 2.3% in Q3 2012 to 12.7% in Q4 2010.
- Per Business Quant data, AIG's Property, Plant & Equipment (Net) in the three quarters before Q4 2012 was $34.93 billion (Q3 2012), $35.1 billion (Q2 2012) and $35.45 billion (Q1 2012).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 922.00 Mn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 815.00 Mn |
| 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 | - | 765.00 Mn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | - |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 591.00 Mn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 761.00 Mn |
| 10 | American International | 43.39 Bn | 5.57 Bn | 3.50 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 34.47 Bn |
| Sep 30, 2012 | 34.93 Bn |
| Jun 30, 2012 | 35.10 Bn |
| Mar 31, 2012 | 35.45 Bn |
| Dec 31, 2011 | 35.54 Bn |
| Sep 30, 2011 | 35.76 Bn |
| Jun 30, 2011 | 37.69 Bn |
| Mar 31, 2011 | 38.10 Bn |
| Dec 31, 2010 | 38.51 Bn |
| Sep 30, 2010 | 39.88 Bn |
| Jun 30, 2010 | 40.97 Bn |
| Mar 31, 2010 | 43.26 Bn |
| Dec 31, 2009 | 44.09 Bn |
| Sep 30, 2009 | 44.38 Bn |
| Jun 30, 2009 | 44.69 Bn |
American International Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();