Assured Guaranty (AGO) Other Accumulated Expenses (2012 - 2019)
Assured Guaranty (AGO) reported Other Accumulated Expenses of $1.29 billion for Q4 2019, up 31.6% from $980 million a year earlier and up 3.9% from the prior quarter.
Assured Guaranty (AGO) Other Accumulated Expenses (2012 - 2019) Analysis & Trends
Dating back to Q4 2012, Assured Guaranty's Other Accumulated Expenses record includes 9 quarters.
- By year, Other Accumulated Expenses came in at $980 million in FY2018 (+2.0%) and $961 million in FY2017.
- The Q4 2019 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2012.
- Per Business Quant data, the three quarters before Q4 2019 came in at $1.24 billion (Q3 2019), $1.1 billion (Q2 2019) and $1.09 billion (Q1 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,268.35 Bn | -165.80 Bn | 56.71 Bn |
| 2 | Chubb | 143.74 Bn | 94.67 Bn | 8.67 Bn |
| 3 | Progressive | 136.59 Bn | 112.11 Bn | 8.29 Bn |
| 4 | Marsh & Mclennan Companies | 98.68 Bn | 91.07 Bn | - |
| 5 | Travelers Companies | 82.62 Bn | 60.10 Bn | 5.93 Bn |
| 6 | Manulife Financial | 75.03 Bn | -19.34 Bn | - |
| 7 | Arthur J. Gallagher | 72.55 Bn | 67.18 Bn | 3.33 Bn |
| 8 | Aon | 71.77 Bn | 51.00 Bn | - |
| 9 | Allstate | 66.66 Bn | 23.71 Bn | -9.85 Bn |
| 10 | Assured Guaranty | 3.28 Bn | -1.34 Bn | 212.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 1.29 Bn |
| Sep 30, 2019 | 1.24 Bn |
| Jun 30, 2019 | 1.10 Bn |
| Mar 31, 2019 | 1.09 Bn |
| Dec 31, 2018 | 980.00 Mn |
| Sep 30, 2018 | 885.00 Mn |
| Dec 31, 2017 | 961.00 Mn |
| Sep 30, 2013 | 530.00 Mn |
| Dec 31, 2012 | 729.00 Mn |
Assured Guaranty Other Accumulated Expenses 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=other-accumulated-expenses&ticker=AGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "AGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=AGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();