Allstate (ALL) Cash & Equivalents (2009 - 2019)
Allstate's Cash & Equivalents was $2 million in Q4 2019.
Analysis
Allstate (ALL) Cash & Equivalents (2009 - 2019) Analysis & Trends
From Q1 2009 onward, Allstate has reported Cash & Equivalents for 24 quarters.
- The Q4 2019 figure marks the highest quarterly Cash & Equivalents in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.72 Bn | 81.30 Bn | 9.13 Bn | 2.75 Bn |
| 2 | Progressive | 130.41 Bn | 106.24 Bn | 9.04 Bn | 193.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.49 Bn | 76.98 Bn | - | 1.70 Bn |
| 4 | Travelers Companies | 78.59 Bn | 54.84 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 73.78 Bn | -21.10 Bn | - | - |
| 6 | Metlife | 64.71 Bn | -42.07 Bn | 7.82 Bn | 19.30 Bn |
| 7 | Allstate | 60.59 Bn | 21.86 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 60.16 Bn | 54.57 Bn | - | 1.39 Bn |
| 9 | Aon | 58.80 Bn | 52.02 Bn | - | 1.06 Bn |
| 10 | Aflac | 58.68 Bn | 33.89 Bn | 2.27 Bn | 6.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 2.00 Mn |
| Sep 30, 2014 | 885.00 Mn |
| Jun 30, 2014 | 889.00 Mn |
| Mar 31, 2014 | 1.17 Bn |
| Dec 31, 2013 | 675.00 Mn |
| Sep 30, 2013 | 1.07 Bn |
| Jun 30, 2013 | 634.00 Mn |
| Mar 31, 2013 | 820.00 Mn |
| Dec 31, 2012 | 806.00 Mn |
| Sep 30, 2012 | 642.00 Mn |
| Jun 30, 2012 | 571.00 Mn |
| Mar 31, 2012 | 577.00 Mn |
| Dec 31, 2011 | 776.00 Mn |
| Sep 30, 2011 | 1.03 Bn |
| Jun 30, 2011 | 693.00 Mn |
| Mar 31, 2011 | 641.00 Mn |
| Dec 31, 2010 | 562.00 Mn |
| Sep 30, 2010 | 500.00 Mn |
| Jun 30, 2010 | 711.00 Mn |
| Mar 31, 2010 | 704.00 Mn |
API Access
Allstate Cash & Equivalents 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=cash-and-equivalents&ticker=ALL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "ALL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=ALL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();