Kemper (KMPR) Cash & Equivalents (2009 - 2011)
Kemper's Cash & Equivalents was $77.5 million in Q1 2011, down 51.8% from $160.9 million a year earlier and down 33.9% from the prior quarter.
Analysis
Kemper (KMPR) Cash & Equivalents (2009 - 2011) Analysis & Trends
At the end of FY2010, Cash & Equivalents at Kemper came in at $117.2 million, down 18.4% from FY2009.
- In earlier years, Cash & Equivalents was $143.7 million in FY2009.
- The Q1 2011 figure marks the lowest quarterly Cash & Equivalents in data going back to Q2 2009.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last four quarters, with an average decline of 5.7%.
- Per Business Quant data, KMPR's Cash & Equivalents in the three quarters before Q1 2011 was $117.2 million (Q4 2010), $149.6 million (Q3 2010) and $97.9 million (Q2 2010).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,168.75 Bn | -248.72 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 136.94 Bn | 89.00 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 132.57 Bn | 108.40 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 93.82 Bn | 86.22 Bn | - | 1.84 Bn |
| 5 | Travelers Companies | 83.08 Bn | 59.33 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 75.37 Bn | -18.34 Bn | - | - |
| 7 | Arthur J. Gallagher | 68.71 Bn | 63.14 Bn | - | 1.39 Bn |
| 8 | Aon | 64.39 Bn | 57.63 Bn | - | 1.06 Bn |
| 9 | Allstate | 64.30 Bn | 25.55 Bn | 8.73 Bn | - |
| 10 | Kemper | 1.70 Bn | 391.15 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | 77.50 Mn |
| Dec 31, 2010 | 117.20 Mn |
| Sep 30, 2010 | 149.60 Mn |
| Jun 30, 2010 | 97.90 Mn |
| Mar 31, 2010 | 160.90 Mn |
| Dec 31, 2009 | 143.70 Mn |
| Sep 30, 2009 | 101.90 Mn |
| Jun 30, 2009 | 97.20 Mn |
API Access
Kemper 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=KMPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "KMPR", "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=KMPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();